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ai enablement business analyst senior

Dow Jones

<div><p><b>About the Team:</b></p>
<p>The team is the Global Business Operations (GBO) AI Enablement Team.</p>
<p><b>About the Role</b></p>
<p>The AI Enablement Business Analyst, Sr. sits within the Global Business Operations (GBO) AI Enablement Team and serves as the critical bridge between business units and the Technology Operations team. This is fundamentally an analyst and advisory role &mdash; you will not be building AI solutions directly, but you will be the person who ensures they get built right.</p>
<p>You will own the early lifecycle of every AI use case: from helping submitters articulate their ideas, through scoping and requirements definition, tool and feasibility assessment, and preparing a structured handoff package for the technology team.</p>
<p>This role is central to how the AI Enablement Team scales its impact. You are the quality gate, the process guide, and the solutioning thought partner &mdash; all before a single line of code is written. You will report to the Senior Manager, Data Analytics &amp; Automation, and will be based in our NYC office.</p>
<p><b>You Will:</b></p>
<ul><li>Triage all AI use case submissions, conducting initial completeness reviews and engaging stakeholders to clarify ambiguous or incomplete requests.</li>
<li>Evaluate submissions for problem clarity, data availability, organizational readiness, and estimated business value to ensure high-potential projects are prioritized.</li>
<li>Lead stakeholder sessions to define project scope, constraints, and success criteria, resulting in a formal Business Requirements Document (BRD).</li>
<li>Develop current-state and future-state workflow diagrams and process maps to identify dependencies, integration points, and technical risks.</li>
<li>Establish measurable benchmarks for every use case, specifically targeting time savings, cost reduction, and qualitative quality improvements.</li>
<li>Audit existing organizational platforms to determine if a use case can be solved with current tools before proposing new investments.</li>
<li>Prepare comprehensive documentation packages for Technology Operations and act as the primary bridge between business needs and technical constraints throughout the delivery lifecycle.</li>
<li>Collaborate on User Acceptance Testing (UAT) criteria to ensure delivered AI solutions meet the original business requirements and success metrics.</li>
<li>Prepare case summaries and feasibility scores for the Monthly Review Committee, incorporating their feedback into project roadmaps.</li>
<li>Maintain the use case pipeline tracker and log realized benefits (ROI) to surface insights for Executive Leadership Team (ELT) presentations.</li>
</ul><p><b>You Have:</b></p>
<ul><li>3+ years of experience as a Business Analyst, Process Analyst, Product Analyst, or equivalent role in a technology-adjacent environment.</li>
<li>Demonstrated experience writing business requirements documents, process maps, user stories, or functional specifications.</li>
<li>Experience working in cross-functional teams that include both business and technology stakeholders.</li>
<li>Hands-on experience with project tracking tools such as Jira and comfort working within established SDLC or agile delivery frameworks.</li>
<li>Experience with at least one AI or automation platform in a professional setting.</li>
</ul><p><b>Our Benefits</b></p>
<ul><li>Comprehensive Healthcare Plans</li>
<li>Paid Time Off</li>
<li>Retirement Plans</li>
<li>Comprehensive Medical, Dental and Vision Insurance Plans</li>
<li>Education Benefits</li>
<li>Paid Maternity and Paternity Leave</li>
<li>Family Care Benefits</li>
<li>Commuter Transit Program</li>
<li>Subscription Discounts</li>
<li>Employee Referral Program</li>
</ul><p>Learn more about all our US benefits</p>
<p>\#LI-Hybrid</p>
<p><b>Equal Opportunity Employer</b></p>
<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets</p>
<p><b>Reasonable Accommodation</b></p>
<p>We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put &quot;Reasonable Accommodation&quot; in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.</p>
<p>Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.</p>
<p><b>Business Area: Dow Jones - Global Business Operations</b></p>
<p><b>Job Category: General Management</b></p>
<p><b>Union Status:</b></p>
<p><b>Non-Union role</b></p>
<p><b>Base Pay Range: $75,000 - $95,000</b></p>
<p><b>We&rsquo;re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate&rsquo;s experience, skills, location, and other relevant factors.</b></p>
<p><b>For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.</b></p>
<p><b>For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.</b></p>
<p><b>Since 1882, Dow Jones has been finding new ways to bring information to the world&rsquo;s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron&rsquo;s, MarketWatch and Financial News.</b></p>
<p><b>This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.</b></p>
<p><b>Req ID: 52489</b></p></div><p></p>

AI Enablement Business Analyst, Senior

WisdomTree

<div>
 WisdomTree is seeking an early-career
 <strong>
  AI Enablement Analyst
 </strong>
 to help scale practical AI adoption across the firm. This role is ideal for a recent graduate or candidate with 1+ years of experience who is highly fluent in modern AI tools and excited to help teams apply them in real business workflows.
 <br/>
 <br/>
 This person will support a mix of AI initiatives, including user training, prompt development, custom GPT and app creation, workflow support, automation, and experimentation with agent-based tools and platforms. The role will work across functions to identify use cases, help prototype solutions, document best practices, and support adoption of tools such as ChatGPT, Microsoft Copilot, Power Apps, Power Automate, Copilot Studio, and Azure AI / Microsoft Foundry-based solutions.
 <br/>
 <br/>
 This role is well suited for someone who is curious, adaptable, technically comfortable, and able to translate between business needs and emerging AI capabilities. The individual will support WisdomTree&rsquo;s growing AI program and work closely with the firm&rsquo;s AI Tech &amp; Operations leadership and the AI Solutions Analyst to help execute AI initiatives across training, workflow design, solution development, and user adoption.
 <br/>
 <br/>
 While the position has a primary emphasis on enablement, training, adoption, and business engagement, the individual will be cross-trained across solution-building activities and expected to contribute broadly across the team&rsquo;s AI initiatives.
 <br/>
 <br/>
 <strong>
  Success In This Role Would Be Achieved By
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support day-to-day AI enablement efforts across business teams
  </li>
  <li>
   Help design, test, and refine prompts, reusable workflows, and AI playbooks
  </li>
  <li>
   Assist with building and maintaining lightweight AI solutions, including custom GPTs, internal assistants, workflow prototypes, and Microsoft-based automations
  </li>
  <li>
   Partner with internal stakeholders to identify repetitive tasks and opportunities for AI-assisted automation and workflow improvement
  </li>
  <li>
   Help design and support AI-enabled workflows and lightweight business solutions using Microsoft tools such as Power Apps, Power Automate, Copilot Studio, and related platforms
  </li>
  <li>
   Create clear documentation, user guides, training materials, and best practices for AI tools and workflows
  </li>
  <li>
   Help deliver AI training sessions, office hours, demos, and role-specific support
  </li>
  <li>
   Gather user feedback and identify opportunities to improve adoption, usability, and impact
  </li>
  <li>
   Evaluate new AI tools and platforms and summarize findings for business users
  </li>
  <li>
   Assist with testing outputs, validating quality, and promoting responsible AI use
  </li>
  <li>
   Help evaluate AI outputs, workflows, and automations for quality, reliability, and business usefulness
  </li>
  <li>
   Help track AI requests, pilot activity, enhancement opportunities, and follow-up items across projects
  </li>
  <li>
   Support cross-functional AI projects from idea stage through pilot deployment
  </li>
  <li>
   Collaborate closely with the AI Solutions Analyst on solution design, rollout, testing, and user support
  </li>
  <li>
   Build familiarity over time with agent-based tools, Microsoft Azure / Microsoft Foundry environments, and internal AI solution design and development
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience And Required Skill Set
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree or equivalent practical experience
  </li>
  <li>
   Strong familiarity with widely used AI tools such as ChatGPT, Microsoft Copilot, Claude, Gemini, or similar platforms
  </li>
  <li>
   Familiarity with Microsoft productivity and automation tools, including Power Apps, Power Automate, Copilot, or similar platforms
  </li>
  <li>
   Clear interest in applied AI, workflow improvement, training, and business enablement
  </li>
  <li>
   Strong written and verbal communication skills
  </li>
  <li>
   Ability to explain technical concepts in simple, practical terms
  </li>
  <li>
   Comfort learning new platforms quickly in a fast-changing environment
  </li>
  <li>
   Strong organization, documentation, and follow-through
  </li>
  <li>
   Analytical mindset with good judgment and attention to detail
   <br/>
   <br/>
  </li>
 </ul>
 $70,000 - $85,000 a year
 <br/>
 <br/>
 <strong>
  Compensation For This Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   base salary range of $70,000 through $85,000.**
  </li>
  <li>
   annual discretionary bonus, payable in cash and/or equity securities consistent with WisdomTree&rsquo;s policies and procedures, and subject to the terms and conditions of WisdomTree&rsquo;s equity plan.
  </li>
  <li>
   Base rate offered will be based on candidate&rsquo;s experience, qualifications, skillset and geographic location (to account for comparative cost of living).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits For This Role
  <br/>
  <br/>
 </strong>
 WisdomTree offers a comprehensive and competitive benefits package designed to support the health, financial security and overall well-being of our employees. Benefits include:
 <br/>
 <br/>
 <ul>
  <li>
   medical, dental and vision coverage with multiple plan options;
  </li>
  <li>
   health savings and flexible spending accounts;
  </li>
  <li>
   employer-paid life, disability and business travel insurance;
  </li>
  <li>
   401(k) plan with company match;
  </li>
  <li>
   flexible paid time off;
  </li>
  <li>
   educational reimbursement programs;
  </li>
  <li>
   wellness and fitness activities;
  </li>
  <li>
   paid parental leave; and
  </li>
  <li>
   volunteer time off
   <br/>
   <br/>
  </li>
 </ul>
 All such benefits are subject to the terms and conditions of WisdomTree&rsquo;s benefits plans and policies.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 W isdomTree is a global financial innovator, offering a diverse suite of exchange-traded products (ETPs), models and solutions, private market investments and digital asset-related products. Our offerings empower investors to shape their financial future and equip financial professionals to grow their businesses. Leveraging the latest financial infrastructure, we create products that emphasize access and transparency and provide an enhanced user experience. Building on our heritage of innovation, we offer next-generation digital products and services related to tokenized real world assets and stablecoins, as well as our institutional platform, WisdomTree Connect&trade;, blockchain-native digital wallet, WisdomTree Prime&reg;*, and have expanded into private markets through the acquisition of Ceres Partners&rsquo; U.S. farmland platform.
 <br/>
 <br/>
 <ul>
  <li>
   The WisdomTree Prime digital wallet and digital asset services and WisdomTree Connect institutional platform are made available through WisdomTree Digital Movement, Inc., a federally registered money services business, state-licensed money transmitter and financial technology company (NMLS ID: 2372500) or WisdomTree Digital Trust Company, LLC, in select U.S. jurisdictions and may be limited where prohibited by law. WisdomTree Digital Trust Company, LLC is chartered as a limited purpose trust company by the New York State Department of Financial Services to engage in virtual currency business. Visit https://www.wisdomtreeprime.com , the WisdomTree Prime mobile app or https://www.wisdomtreeconnect.com for more information.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work Smart
  <br/>
  <br/>
 </strong>
 Headquartered in New York City, WisdomTree embraces a &ldquo;Work Smart&rdquo; philosophy that transcends physical workspace, aiming to optimize productivity, efficiency and effectiveness. Employee time in the office generally is not prescribed, and team leaders are empowered to determine how their teams work best, based on their roles, which may include in-person, in-office engagement.
 <br/>
 <br/>
 <strong>
  Mission, Vision &amp; Values
  <br/>
  <br/>
 </strong>
 WisdomTree is committed to delivering a better financial experience through the quality of our products, solutions and engagement, and to be the leader in delivering best structured access to global asset classes, empowering clients through innovative solutions and long-term performance. WisdomTree employees strive for excellence and innovation, work with transparency and accountability and support each other as a global team . We welcome the applications of qualified individuals who will support this mission and thrive in our collaborative and empowering work environment.
 <br/>
 <br/>
 Learn more at https://www.wisdomtree.com
 <br/>
 <br/>
 WisdomTree is proud to be an Equal Opportunity Employer, committed to the consideration of all applicants and existing employees for all positions, and we evaluate qualified applicants without regard to race, color, religion, creed, sex, gender, age, national origin or ancestry, ethnicity, physical or mental disability, veteran status, marital status, sexual orientation, pregnancy, citizenship status, genetic information, or any other status or condition protected by applicable law.
</div>


AI Enablement Analyst

Oscar Health

<div><p>Hi, we're Oscar. We're hiring a Senior Director, Product Marketing &amp; Growth Enablement to join our Marketing team.</p>
<p>
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.</p><br>
<p></p>
<p><b>
About the role:</b></p>
<p>
The Senior Director of Product Marketing &amp; Growth Enablement is a visionary leader who is responsible for building and leading a high-impact team. You will be the architect of our Go-To-Market strategy, sitting at the nexus of Product, Sales, and Marketing. Your mission is to ensure our sales and market teams are equipped with the story, the tools, and the localized strategy needed to win in a competitive landscape.</p>
<p>
You will report into the Vice President, Insurance Marketing.</p>
<p><b>
Work Location:
</b></p><p>This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid</p>
<p><b>
Pay Transparency:
</b></p><p>The base pay for this role is: $218,592.00 - $286,902.00 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Recruit, hire, and mentor a world-class team of product marketers, enablement managers, and field marketing specialists.</li>
<li>Lead the creation of core messaging frameworks and value propositions; ensuring consistency while adapting for regional or market-based nuances (e.g., specific state regulations or localized broker networks).</li>
<li>Act as the primary strategic bridge and product SME between the business and the Marketing organization. You will represent the &quot;product story&quot; to cross-functional leaders to ensure their strategies are aligned with product reality, while simultaneously quarterbacking the GTM engine within Marketing to ensure Brand, Digital, and Demand Gen efforts are perfectly synchronized with product launches and market-specific goals.</li>
<li>Partner with Product and Member Experience to build systematic feedback loops for employers, brokers, and members to ensure that the product's evolution matches the market's true needs.</li>
<li>Partner directly with the VP of Sales, SVP of Markets, and SVPs of Product (Technology and Plan Design) to align product roadmaps with buyer personas and sales targets.</li>
<li>Act as the primary strategic partner to the Sales and Markets leadership teams, ensuring marketing programs directly support market goals, account-based marketing (ABM) efforts, and revenue targets.</li>
<li>Collaborate with Brand, Lifecycle Marketing, and Market Leaders to localize messaging and ensure field teams are equipped with the right tools and content to win.</li>
<li>Partner with Community Activation, Sales, &amp; Market Leadership to identify local sponsorship and promotional opportunities.</li>
<li>Develop and lead the end-to-end regional marketing plan, aligning local field activities with national-scale persona-based B2B and B2C marketing programs to drive pipeline growth and market penetration.</li>
<li>Transform competitive analysis into actionable &quot;battlecards&quot; and proactive strategy shifts that maintain market leadership.</li>
<li>Identify friction points in the sales cycles (commercial and direct to consumer) and craft comprehensive enablement programs. This includes deploying modern sales tools, high-velocity playbooks, and localized field campaigns. Crucially, you will lead the training and certification of all externally facing teams, ensuring they are not only equipped with collateral but are personally proficient in articulating the story accurately and successfully in the field.</li>
<li>Compliance with all applicable laws and regulations.</li>
<li>Other duties as assigned.</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>12+ years of experience in Product Marketing, Enablement, or GTM Strategy (Health tech, fintech, and/or highly regulated industries preferred).</li>
<li>Proven experience building a department from the ground up or merging disparate teams into a cohesive unit.</li>
<li>Ability to take complex technical and plan design features in a highly regulated environment and translate them into value-based narratives.</li>
<li>Expert at designing and leading high-stakes Voice of Customer sessions (Advisory Boards, Focus Groups) and standardizing Sales Training &amp; Certification programs.</li>
<li>Proficiency in identifying, deploying, and optimizing the right technology and tools needed to measure the impact of enablement and marketing spend on the sales pipeline.</li></ul><p></p><div><p><br>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.</p>
<p>
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.</p>
<p><b>
Pay Transparency: </b>Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.</p>
<p><b>
Artificial Intelligence (AI): </b>Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.</p>
<p><b>
Reasonable Accommodation: </b>Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.</p>
<p><b>
California Residents:</b> For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</p></div></div>

Senior Director, Product Marketing & Growth Enablement

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is a global financial technology platform that powers prosperity for the people and communities we serve. With 100M+ customers using TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe every business should have the opportunity to grow through smarter marketing, better data, and thoughtful automation.</div><p></p><div><br>
We are looking for a <b>Group Product Manager</b> for the <b>Marketing Data Platform</b> product area for Mailchimp. This team owns the foundational platform for customer data, segmentation, and personalization capabilities that power Mailchimp&rsquo;s omnichannel, <b>AI-driven</b> marketing experiences across email, SMS, WhatsApp, and emerging channels.</div><p></p><div><br>
In this role, you will define the strategy for how customer data is organized, activated, and scaled across Mailchimp. You&rsquo;ll lead a team of product managers responsible for the core platform capabilities that help millions of marketers understand their audiences, target them, and deliver personalized marketing capabilities from campaigns and journeys to reporting, predictive insights, and agentic AI experiences.</div><div></div><div><br>
This is a high-impact, highly visible role at the heart of Mailchimp&rsquo;s marketing and AI strategy.</div><p><b><br>
Responsibilities</b></p><div><b>
Product Vision &amp; Strategy</b></div><ul><li><div>
Define and communicate a clear, compelling vision for the customer, subscriber, and targeting capabilities within the Marketing Data Platform.</div></li><li><div>
Translate company and portfolio strategy into actionable roadmaps that support omnichannel marketing, personalization, and <b>AI-powered / agentic</b> experiences.</div></li><li><div>
Balance near-term product needs with longer-term platform investments that increase reusability, performance, and scalability for both human users and AI systems.</div></li></ul><p></p><div><b><br>
Customer, Data, &amp; AI Insight</b></div><ul><li><div>
Develop deep empathy for small and mid-sized businesses and the marketers who use Mailchimp to grow.</div></li><li><div>
Partner with Research, Analytics, and Customer Success to understand how customers organize their data, build segments, and activate audiences today&mdash;and where AI can simplify, guide, and automate their work.</div></li><li><div>
Use customer insight, data usage patterns, and market trends in MarTech/CDP and AI to identify opportunities for smarter defaults, recommendations, and &ldquo;done-for-you&rdquo; experiences.</div></li></ul><p></p><div><b><br>
Platform, Data, &amp; AI Enablement</b></div><ul><li><div>
Lead the evolution of targeting and contact management at Mailchimp into robust platform capabilities used by multiple product teams, channels, and AI services.</div></li><li><div>
Partner with engineering, data, and architecture leaders to define clear data models, APIs, and services that enable reliable reuse across the product and safe consumption by AI agents and assistants.</div></li><li><div>
Ensure audience and segmentation capabilities are designed with governance, consent, and privacy as first-class requirements, including for AI-driven features.</div></li></ul><p></p><div><b><br>
Cross-Functional Leadership</b></div><ul><li><div>
Lead a team of product managers and collaborate closely with engineering, design, data science, CX, and go-to-market partners.</div></li><li><div>
Work with AI/ML and analytics teams to ensure your platform exposes the right signals, contracts, and performance characteristics for predictive and agentic use cases.</div></li><li><div>
Align stakeholders around priorities, trade-offs, and rollout plans for major initiatives, from new segmentation capabilities to cross-channel audience features and AI-powered workflows.</div></li><li><div>
Represent the team and product portfolio in planning forums and leadership discussions, providing clarity on strategy, progress, and risks.</div></li></ul><p></p><div><b><br>
Execution &amp; Operational Excellence</b></div><ul><li><div>
Drive high-quality execution across multiple teams, ensuring clear goals, scoped milestones, and strong communication.</div></li><li><div>
Establish and manage portfolio-level OKRs/KPIs, focusing on customer impact, platform adoption, reliability, internal developer efficiency, and AI feature enablement.</div></li><li><div>
Guide teams through complex, multi-release programs (e.g., new data capabilities, model integrations, or cross-product experiences) with clarity and rigor.</div></li></ul><p></p><div><b><br>
Team Development &amp; Product Craft</b></div><ul><li><div>
Hire, mentor, and develop PMs at varying levels, helping them grow in impact, autonomy, and product excellence.</div></li><li><div>
Set a high bar for product craft across discovery, prioritization, experimentation, and stakeholder management, including how teams think about AI opportunities and responsible AI use.</div></li><li><div>
Foster a culture of collaboration, learning, and customer-centric decision making within the teams.</div></li></ul><p><b><br>
Qualifications</b></p><p></p><ul><li><div><b><br>
8&ndash;10+ years of product management experience</b>, including significant time working on <b>platform, data, or infrastructure products</b> in SaaS or MarTech environments.</div></li><li><div>
Proven experience leading <b>data- or platform-centric product areas</b> that support multiple product teams and/or external developers.</div></li><li><div>
Exposure to or experience with <b>AI/ML-powered products</b> (e.g., recommendations, predictive models, assistants, or agentic workflows), and a track record of partnering with AI/ML teams to bring these to market.</div></li><li><div>
Demonstrated success managing and developing <b>product management talent</b>, including senior ICs, and leading teams through complex, multi-quarter initiatives.</div></li><li><div>
Strong <b>technical fluency</b>: comfortable discussing data models, APIs, system architecture, and model integration patterns with engineering and data leaders, and translating technical concepts into clear product decisions.</div></li><li><div>
Background in <b>customer data platforms, segmentation, marketing automation, or related domains</b> is strongly preferred.</div></li><li><div>
Ability to <b>shape multi-year strategy</b> while driving disciplined execution and measurable results in the near term.</div></li><li><div>
Data-driven mindset: experience defining and using product and business metrics (e.g., adoption, engagement, performance, retention, AI feature usage) to guide prioritization and measure impact.</div></li><li><div>
Excellent communication and stakeholder management skills, with a track record of influencing senior leaders and aligning diverse teams around shared goals.</div></li><li><div>
Bachelor&rsquo;s degree in a technical, business, or related field (or equivalent practical experience); advanced degree a plus.</div></li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p>
Bay Area, California: $237,500 - 321,500</p><p>
New York City: New York: $215,000 - 291,500</p></div><p></p>

Group Product Manager, Marketing Data Platform (Mailchimp)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you passionate about architecting scalable AI and data solutions alongside AWS's strategic partners? Do you have deep technical expertise in AI/ML technologies combined with the ability to guide partners in building innovative solutions for customers?<br>
<br>
Amazon Web Services (AWS) is seeking a Senior Partner Solutions Architect with proven experience in AI and data architecture to join our Partner Solutions Architecture team in North America. In this role, you will serve as a trusted technical advisor to our strategic partners, helping them architect secure and scalable AWS-integrated solutions that leverage AI/ML services and modern data platforms. You will work backwards from customer needs to design partner solutions that drive sustainable value and accelerate AWS adoption across thousands of advertisers and enterprises globally.<br>
<br>
Key job responsibilities<br>
Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services)<br>
Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment<br>
Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions<br>
Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines, and AI solution patterns<br>
Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns<br>
Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases<br>
Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture<br>
Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data service roadmaps<br>
Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks<br>
Support partner competency development and certification in AI/ML and data analytics domains<br>
<br>
A day in the life<br>
Review and respond to partner technical questions via email and Slack. Join architecture review calls to validate partner solution designs. Write code samples and integration guides for partner engineering teams. Conduct hands-on workshops demonstrating AWS service integration patterns. Collaborate with AWS account teams on joint customer opportunities. Update technical documentation and reference architectures. Troubleshoot partner deployment issues and optimize performance. Meet with partner product managers/CPO/CTO to discuss roadmap alignment. Create demo environments showcasing joint solutions. Present solution to Partner's customers. Provide feedback to AWS service teams based on partner requirements.<br>
<br>
About the team<br>
The Partner Solutions Architecture team is a specialized group of technical experts who architect scalable solutions alongside Amazon's strategic partners. We serve as the bridge between AWS's capabilities and partner-built solutions that drive innovation globally. Our team operates through a structured engagement model supporting partners at multiple service levels - from dedicated annual planning with managed accounts to scaled community enablement through workshops and technical content. We measure success through design wins, partner revenue growth, API adoption, and the quality of solutions we help bring to market. Our culture values technical excellence, innovation leadership, and continuous learning as we shape how enterprises adopt transformative AI and data technologies.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>5+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics).</li><li>2+ years of technology/software sales experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage</li><li>Experience with data architecture, AI/ML solution design, or related technical roles</li><li>Experience architecting and implementing AI/ML solutions at scale, including experience with machine learning frameworks (TensorFlow, PyTorch, MXNet, scikit-learn) and ML platforms</li><li>AWS Certifications (Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty)</li><li>Experience in a customer-facing role such as solutions architect, technical consultant, or professional services</li><li>Experience with Deep Learning architectures and Transformer models (BERT, GPT, T5, etc.) including training, fine-tuning, and deployment at scale</li><li>Experience with Agentic AI Solution Framework including:</li><li>Multi-agent system architecture and orchestration patterns (supervisor agents, agent-to-agent collaboration)</li><li>Amazon Bedrock AgentCore implementation and AWS Strands Agents SDK</li><li>Integration with agentic frameworks (LangGraph, CrewAI, LangChain, AutoGen)</li><li>Agentic protocols including Model Context Protocol (MCP) and Agent-to-Agent (A2A)</li><li>Memory management strategies (short-term/long-term memory, session state, context management)</li><li>Tool integration and API orchestration for autonomous agent systems</li><li>Agent workflow patterns (ReAct, Chain-of-Thought, Reflexion, dynamic replanning)</li><li>Security, governance, and observability frameworks for production agent systems</li><li>Container-based agent deployment on Amazon EKS/ECS</li><li>Autonomous decision-making, contextual reasoning, and goal-oriented agent design</li><li>Hands-on experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Rekognition, Comprehend, Forecast) and AWS data services (Redshift, EMR, Glue, Kinesis, Lake Formation)</li><li>Experience with generative AI, large language models, RAG architectures, and agentic AI systems</li><li>Experience architecting production-grade MLOps pipelines and data governance frameworks</li><li>Background in partner enablement, technical training, or thought leadership</li><li>Experience working with consulting partners, systems integrators, or technology partners</li><li>Publications, presentations, or speaking engagements at industry conferences on AI/ML or data architecture topics</li><li>Strong business acumen with ability to connect technical solutions to business outcomes</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually<br>
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually<br>
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually</div><p></p>

Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect

BlackRock

<div><div><div><div><div>Locations: <b>New York, New York</b></div></div></div></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p><p>
Aladdin is BlackRock&rsquo;s unified technology and data platform used by BlackRock and many of the world&rsquo;s largest Asset Managers and Investors. The Aladdin Platform Engineering organization is the Engineering Pillar within Aladdin responsible for building and operating the technology platform that powers Aladdin and includes the Developer Platform, the Core Platform and the Control Platform. Within Aladdin Platform Engineering, we are looking to bring on a senior technology leader to be the Head of AI Developer Platform.</p><p><b>
Responsibilities
</b></p><p><b>1. Own AI Native SDLC &amp; Engineering Productivity</b></p><ul><li><b>
Define and operationalize an AIfirst, agent driven SDLC embedded into the Developer Platform, spanning design, build, test, release, and operate phases, including:</b><ul><li>
Agent assisted design, code generation, refactoring, and documentation</li><li>
Agent driven test generation, coverage analysis, defect intelligence, and built-in quality and resilience signals</li><li>
Intelligent release validation, change risk assessment, and deployment readiness</li><li>
Continuous functional, integration, regression, performance, and resilience testing orchestrated as first-class SDLC stages rather than post hoc controls</li><li>
Continuous learning loops that improve software, delivery workflows, and AI agents over time</li></ul></li><li><b>
AI Vendor, Tooling &amp; Platform Integration</b><ul><li><b>
Drive evaluation, selection, and governance of AI developer tools and vendors</b> integrated into the AI Developer Platform, ensuring capabilities are secure, production grade, and aligned to Aladdin&rsquo;s architecture, risk posture, and engineering standards.</li><li><b>
Ensure AI tools are platform integrated rather than point solutions</b>, delivered through standardized onboarding, quality gates, observability, lifecycle management, and Responsible AI controls in partnership with Risk, Security, Legal, and Architecture.</li></ul></li><li><b>
Lead adoption of PDLC agents delivered through the Developer Platform, aligned to core engineering personas and architecture/design principles</b>:<ul><li><b>
Developers:</b></li><li><b>
Testers / QE</b>:</li><li><b>
Operators / SREs</b>:</li><li><b>
Ensure quality, resilience, and risk prevention are embedded as default behaviors within PDLC agents, rather than treated as separate processes or late-stage controls.</b></li></ul></li></ul><p><b>
2. Own the evolution of continuous validation capabilities across the SDLC, including:</b></p><ul><li>
Performance, load, spike, and concurrency testing integrated into CI/CD pipelines</li><li>
Chaos engineering and fault injection experiments executed in preproduction environments</li><li>
Game Day testing and operational readiness simulations to validate incident response, observability, and recovery paths</li><li>
Establish clear <b>skill expectations and enablement paths</b> for developers, testers, and operators working in an AI augmented delivery model,</li></ul><p><b>
3. AI Developer Platform Context Engineering &amp; Enablement</b></p><ul><li><b>
Own the workforce enablement and distribution layer for the Developer Platform</b> (through IDEs), ensuring AI capabilities and PDLC agents are delivered as secure, reusable, composable platform services within Engineering Services rather than fragmented tools.</li><li><b>
Lead context engineering and context graph strategy for the Developer Platform</b>, including:<ul><li><b>
Defining and evolving enterprise context graphs
</b></li><li><b>Ensuring AI agents and PDLC agents have governed access to the right</b> context at the right time, with controlled blast radius</li></ul></li><li><b>
Driving reuse of context primitives across SDLC, agent-based validation,</b> and operational workflows</li></ul><p><b>
4. Own platform level capabilities for test data and environment management, including:</b></p><ul><li><b>
Production aligned preproduction environments</b> that enable reliable end-to-end validation</li><li><b>
Repeatable, governed test data strategies</b> (refresh, reset/replay, synthetic data) that support functional, performance, and resilience testing</li><li><b>
Pre-Prod Environment stability</b>, drift detection, and telemetry-based health signals as inputs to release decisions</li></ul><ul><li><b>
Be a Champion and Lead governance for context ownership, freshness, versioning, and reuse to prevent drift and repeated failures at scale.</b></li></ul><p><b>
5. Engineering Excellence, Culture &amp; Leadership</b></p><ul><li>
Build and lead a high-performance, globally distributed AI Developer Platform organization within Engineering Services.</li><li>
Evangelize AI native, agent driven delivery practices across Aladdin while balancing innovation, operational stability, and risk discipline.</li></ul><p><b>
7. Governance, Risk &amp; Responsible AI</b></p><ul><li>
Own policy, governance, and control frameworks for AI usage <b>and PDLC agents within the Developer Platform</b>, ensuring alignment with firmwide risk, compliance, and Responsible AI standards.</li><li>
Own and mitigate technology and AI related risks for the Developer Platform, representing Engineering Services in risk and control governance forums.</li></ul><p><b>
8. Collaboration &amp; Enterprise Impact</b></p><ul><li>
Work closely with business leaders, product managers, domain architects, and delivery teams to translate business requirements into scalable, secure AI Developer Platform and PDLC agent capabilities.</li><li>
Collaborate with Platform Engineering, Product Engineering, Product leadership to ensure the Developer Platform meets the growth demands of Aladdin&rsquo;s clients and partners.</li></ul>
For New York, NY Only the salary range for this position is USD$275,000.00 - USD$350,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
<p><b>
Our benefits</b><br>
<br>
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p><p><b>
Our hybrid work model</b></p><p>
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><p><b>
About BlackRock</b></p><p>
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><p>
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><div>
For additional information on BlackRock, please visit @blackrock<div>
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 | Twitter: @blackrock<div>
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 | LinkedIn: www.linkedin.com/company/blackrock<div>
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BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. <b>View the </b><b>EEOC&rsquo;s Know Your Rights poster and its supplement</b><div><b>
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 and the </b><b>pay transparency statement</b><div><b>
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.</b></div><div>
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com<div>
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. All requests are treated in line with our <b>privacy policy</b><div>
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.<div>
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BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.</div>
<div><div><b>Job Requisition #</b>
<br>
R261411</div></div></div><p></p>

Head of AI Developer Platform

Metropolitan Commercial Bank

<div><p><b>Come Work With Us:</b></p>
<p>
Metropolitan Commercial Bank (&quot;MCB&quot; or the &quot;Bank&quot;) is a New York City&ndash;based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.</p>
<p>
Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.</p>
<p>
The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek's Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor's Choice recognition at the Banking Tech Awards USA for Digital Onboarding &amp; Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.</p>
<p>
We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human&ndash;AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank's website at MCBankNY.com.</p><br>
<p></p>
<p><b>
Position Summary:</b></p>
<p>
Metropolitan Commercial Bank (the &quot;Bank&quot;) is seeking an Applied AI Analyst to support the design, configuration, testing, and monitoring of applied AI, Generative AI, machine learning, and agentic workflow solutions in a highly regulated banking environment. Working under the guidance of AI Scientists and in partnership with engineering, risk, and business teams, this role focuses on internal human-in-the-loop use cases such as AI-assisted loan documentation generation, fraudulent transaction detection models, policy and knowledge copilots, workflow automation, and other productivity solutions. A meaningful portion of the role is dedicated to AI solution intake and delivery support&mdash; learning new business domains, engaging business owners, preparing required documentation, and supporting vendor and risk reviews, so that solutions can be built and deployed under strict control gates and documentation standards aligned to internal and external regulations. The role emphasizes strong documentation, human oversight, privacy-by-design, cybersecurity, and disciplined lifecycle controls aligned to internal and external regulations. The role also emphasizes familiarity with Microsoft Foundry / Foundry Agent Service, approved Microsoft Copilot ecosystems, RAG architectures, and enterprise data platforms such as Snowflake.</p>
<p><i>
Standard 4-day in-office requirement, 1 day remote (of your choosing)</i></p>
<p><b>
Essential Functions &amp; Responsibilities</b></p>
<p><b>
Applied AI solution development &amp; analysis:</b></p>
<ul>
<li>Support AI Scientists in building, configuring, and testing applied AI/GenAI solutions for high-value banking use cases such as credit memo generation, policy/regulatory summarization, knowledge assistants, and internal productivity copilots.</li>
<li>Develop and refine prompts, grounding instructions, structured outputs, evaluation datasets, and Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector search, document chunking, and metadata-driven retrieval.</li>
<li>Prepare and transform structured and unstructured data; assist with API integrations, notebooks, and repeatable workflows that improve quality, traceability, and analyst productivity.</li>
</ul>
<p><b>Agentic workflow design &amp; orchestration:</b></p>
<ul>
<li>Assist in designing and testing agentic workflows using approved enterprise platforms and frameworks, including multi-agent patterns, human-in-the-loop approvals, handoffs, and subagent / agents-as-tools designs.</li>
<li>Work with emerging interoperability patterns such as Model Context Protocol (MCP), tool / skill / plugin integration, and Agent-to-Agent (A2A) connectivity under supervision and within approved guardrails.</li>
<li>Document workflow steps, tool schemas, fallback logic, escalation paths, and safe disablement / rollback procedures for agentic and GenAI solutions.</li>
</ul>
<p><b>Microsoft Foundry, Copilot, and enterprise platform enablement:</b></p>
<ul>
<li>Support prototyping and evaluation in Microsoft Foundry / Foundry Agent Service and related Microsoft ecosystems (for example, Microsoft 365 Copilot) while partnering with Engineering and Data teams operating on Snowflake and other approved enterprise platforms.</li>
<li>Assist with prompt and agent configuration, retrieval integration, logging, model / tool versioning, and operational runbooks.</li>
</ul>
<p><b>Evaluation, testing, and monitoring:</b></p>
<ul>
<li>Create and execute test cases for accuracy, groundedness, hallucination, task completion, retrieval quality, bias/fairness, and basic adversarial or prompt-injection scenarios; escalate issues promptly.</li>
<li>Track KPIs/KRIs, output quality, drift indicators, and user feedback; maintain evidence needed for pilot reviews, production monitoring, and periodic reassessment.</li>
</ul>
<p><b>AI governance, intake documentation, and cybersecurity/privacy controls:</b></p>
<ul>
<li>Support AI use-case intake and governance processes by preparing required documentation (e.g., AI intake forms, model/system inventories, change-control artifacts, and audit-ready evidence packs) aligned to MCB's Trustworthy &amp; Responsible AI Principles and internal approval processes.</li>
<li>Learn domain and process context for new use cases by speaking with business owners and control partners; translate requirements into clear problem statements, data needs, user journeys, control gates, and documentation required to comply with internal and external regulations.</li>
<li>Support third-party / AI vendor due diligence by collecting and organizing evidence, reviewing vendor documentation, and helping risk-tier AI vendors and solutions in partnership with Third-Party Risk and Cyber/IT; act as an AI subject matter expert in providing an understanding of AI-specific risks.</li>
<li>Apply privacy-by-design, data minimization, access-control, and secure prompt/data handling practices; follow approved tooling and build standards.</li>
</ul>
<p><b>Cross-functional partnership and continuous learning:</b></p>
<ul>
<li>Communicate findings, limitations, and recommendations clearly to AI Scientists, managers, control partners (Model Risk, Compliance/Legal, Cyber/IT, Data Privacy), and business stakeholders; incorporate feedback quickly and accurately.</li>
<li>Contribute to playbooks, standard operating procedures, and reusable templates for prompts, evaluations, agent patterns, and workflow controls.</li>
</ul>
<p><b>Innovation and best practices:</b></p>
<ul>
<li>Stay current on practical applied-AI methods&mdash;including RAG, evaluation frameworks, agentic workflow design, MCP, A2A, and Microsoft Foundry capabilities&mdash;and recommend fit-for-purpose uses under established control gates.</li>
<li>Demonstrate sound judgment, curiosity, and willingness to learn from senior AI Scientists while promoting responsible AI, reproducibility, and disciplined execution.</li>
</ul>
<p><b>Qualifications &amp; Skills:</b></p>
<ul>
<li>2+ years of work experience.</li>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, Mathematics, or a related field is preferred. Relevant internships, apprenticeships, or comparable hands-on AI, analytics, or automation project experience will be considered.</li>
<li>Working knowledge of Python, SQL, notebooks, REST APIs, JSON/YAML, and version control (e.g., Git) for data analysis and AI workflow support.</li>
<li>Understanding of traditional machine learning model development and lifecycle concepts, including model training, data leakage prevention, testing/validation, monitoring, and common performance metrics for classification and regression.</li>
<li>Familiarity with LLM application patterns, including prompt engineering, structured outputs, function/tool calling, Retrieval-Augmented Generation (RAG), embeddings, and vector search.</li>
<li>Familiarity with Microsoft Foundry (including Foundry Agent Service), Microsoft 365 Copilot / Copilot Studio concepts, and approved enterprise data/AI platforms such as Snowflake.</li>
<li>Understanding of agentic workflow concepts such as MCP servers/tools, skills/plugins, subagents or agents-as-tools, handoffs, human-in-the-loop controls, and A2A integration patterns.</li>
<li>Ability to test and evaluate AI outputs for accuracy, groundedness, hallucination, retrieval quality, bias/fairness, and basic security misuse scenarios.</li>
<li>Working knowledge of model and data governance concepts, including documentation, monitoring, change control, inventories, audit trails, and three-lines-of-defense oversight in a regulated environment.</li>
<li>Strong written and verbal communication skills; ability to turn technical findings into clear summaries, test evidence, and action items for business and risk stakeholders.</li>
<li>Analytical, organized, and adaptable mindset; ability to learn quickly, manage multiple workstreams, and balance innovation with risk discipline.</li>
</ul>
<p><b>Preferred Qualifications &amp; Skills</b></p>
<ul>
<li>Financial services exposure in fraud, AML/KYC/CDD/EDD, underwriting, commercial banking, treasury, policy governance, or contact center analytics.</li>
<li>Hands-on experience with Microsoft Foundry / Foundry Agent Service, Azure AI Search or equivalent retrieval tooling, M365 Copilot / Copilot Studio, Snowflake, or similar enterprise AI platforms is a plus.</li>
<li>Experience with RAG architectures, vector databases / vector search, document chunking, metadata extraction, OCR/document understanding, and prompt engineering.</li>
<li>Exposure to agentic workflow patterns such as MCP tool integration, skills/plugins, handoffs, subagents, A2A, and evaluation frameworks for task completion and tool-call quality.</li>
<li>Familiarity with LangChain, Semantic Kernel, LangGraph, Microsoft Agent Framework, or similar orchestration libraries/frameworks is a plus.</li>
<li>Awareness of external regulations including SR 11-7, SR 23-4, AI use-case intake / inventory processes, privacy, cybersecurity, and third-party risk expectations in a regulated environment.</li>
<li>Ability to work in a constantly evolving environment.</li>
<li>Must have excellent written and verbal communication skills.</li>
<li>Demonstrate analytical, troubleshooting, and problem-solving skills.</li>
<li>The ability to learn new technologies quickly.</li>
<li>Self-directed individual with strong organizational and communication skills.</li>
<li>Ability to synthesize multiple sources of information with an understanding of the bigger picture needs and operations of the Bank.</li>
<li>Collaborative team player who can find practical solutions in a dynamic work environment.</li>
<li>Ability to handle ambiguity, manage multiple tasks at once, and shift effectively between priorities.</li></ul><br>
<p></p>
<p><b>
Potential Salary: $120,000 - $150,000 annually</b></p>
<p>
This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.</p>
<p>
Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</p>
<p>
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</p></div>

Applied AI Analyst

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