data analyst

business intelligence analyst Jobs in New York

business intelligence analyst

senior data scientist

data engineer

data scientist

data product manager

FanDuel

<div><p><b>THE POSITION</b><br>
Our roster has an opening with your name on it</p>
<p>
We are looking for a Product Manager to join our Data Products team within our Technology. This is a key role in a fast-paced environment working with teams and stakeholders across the business to drive the development and enhancement of our Data Science and Machine Learning products. In this role, you'll drive the evolution and adoption of our ML Platform, including experiment tracking, model lifecycle management, observability, and feature engineering capabilities that enable data scientists to build, deploy, and monitor models at scale. If you&rsquo;re excited by this challenge and want to work within a dynamic company, then we&rsquo;d love to hear from you.</p>
<p>
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.</p><br>
<p><b>
THE GAME PLAN</b><br>
Everyone on our team has a part to play</p>
<ul>
<li>You will take ownership of data products that deliver key insights into our business and drive future business decisions</li>
<li>Lead elicitation of requirements, in the form of user stories &amp; acceptance criteria, prioritizing the product backlog to streamline the execution of program priorities</li>
<li>Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure our platform aligns with business objectives and delivers advanced machine learning solutions</li>
<li>Partner closely with our Data Science and Machine Learning Data Engineering teams to deliver value through data</li>
<li>Bring fresh ideas to the table when working to solve business problems, using your commercial understanding to generate innovative solutions</li>
<li>Partner with Engineering teams to define solution and approach</li>
<li>Create and maintain user guides, technical documentation, and best practices for the Machine Learning platform, including tooling for experiment tracking, model deployment, feature engineering, and observability</li>
<li>Monitor platform performance, model accuracy, and data quality. Identify and address issues to continuously improve platform efficiency</li>
<li>Be an enabling force driving through effective and sustainable change guiding the business through the journey</li>
<li>Play a key role within the PM community here at FanDuel, sharing your industry best practice and fostering a culture of knowledge sharing and cross-skilling</li></ul><br>
<p></p>
<p><b>
THE STATS</b><br>
What we're looking for in our next teammate</p>
<ul>
<li>3-6 years of experience as a Product Manager, Product Owner, or Data Scientist delivering impactful data products, with a proven track record of successful project delivery and stakeholder satisfaction.</li>
<li>Experience working with data warehouse and data science technologies, including platforms such as Python, PySpark, Databricks, AWS, and MLflow ensuring efficient data processing and management.</li>
<li>Proficiency with popular machine learning frameworks and tools, such as TensorFlow, PyTorch, or scikit-learn, encompassing model development, training, and deployment to support advanced analytics and predictive modeling initiatives.</li>
<li>Expertise in using Databricks for scalable data engineering and machine learning workflows, leveraging its collaborative environment and optimized Spark clusters for accelerated development and deployment cycles.</li>
<li>Strong proficiency in SQL for querying and manipulating large datasets, combined with advanced programming skills in Python for data preprocessing, feature engineering, and model development tasks.</li>
<li>Hands-on experience with MLflow for experiment tracking, model registry, and model lifecycle management, including integration with Unity Catalog for centralized governance and versioning</li>
<li>Familiarity with ML observability and monitoring tools (e.g., Fiddler, Evidently AI, or similar platforms) for tracking model performance, detecting data drift, and ensuring model health in production environments</li>
<li>Understanding of Infrastructure as Code (IaC) principles and experience with tools such as Terraform for managing ML infrastructure, governance policies, and reproducible deployments</li>
<li>Extensive experience with feature stores, facilitating efficient feature management and reuse across machine learning models, enhancing model accuracy and reducing time-to-market for data-driven solutions.</li>
<li>Demonstrated proficiency in a variety of reporting and data visualization tools, such as Tableau, Power BI, or matplotlib, for creating insightful visualizations and dashboards to communicate key insights and drive data-driven decision-making.</li>
<li>Exceptional analysis skills, with the ability to interpret complex datasets, identify meaningful patterns and trends, and derive actionable insights to inform product strategy and decision-making.</li>
<li>Proven experience conducting stakeholder interviews and facilitating stakeholder workshops, fostering open communication and collaboration to gather requirements, prioritize features, and align product roadmap with business objectives.</li>
<li>Proficient in translating product roadmap features into well-defined product requirements, including features, user stories, and acceptance test criteria, ensuring clear understanding and alignment across cross-functional teams.</li>
<li>Thrives in a fast-paced environment, adapting quickly to changing priorities while driving high standards and delivering value that meets or exceeds challenging goals.</li>
<li>Drives high standards for individual accomplishment and works to meet or exceed challenging goals, fostering a culture of excellence and continuous improvement within the product development team.</li>
<li>Is accustomed to working in a fast-paced environment, adapting quickly to changing priorities and requirements, while maintaining a focus on delivering value and driving outcomes for the organization.</li>
<li>Bachelor's degree in a relevant field preferred (Computer Science, Engineering, Business, or a related discipline). A Master's degree is a plus, providing additional depth and specialization in machine learning, data science, or related fields.</li><br>
</ul>
<p><b>ABOUT FANDUEL</b></p>
<p>
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.</p>
<p>
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.</p>
<p>
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company&rsquo;s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.</p>
<p>
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).</p><br>
<p><b>
PLAYER BENEFITS</b><br>
We treat our team right</p>
<p>
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: <b>FanDuel Total Rewards</b>. *Benefits differ across location, role, and level.</p>
<p>
FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.</p><br>
<p><b><i>
The applicable salary range for this position is $106,000 - $139,700 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.</i></b></p>
<p><b><i>
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. 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 email</i></b><b><i> </i></b><b><i>Benefits@fanduel.com</i></b><b><i>.</i></b></p>
<p><b><i>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</i></b></p><br>
<p></p>
<p>
#LI-Hybrid</p></div>

Data Product Manager

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><div><div><p>
Position Summary</p></div><div><p>
CVS Health&rsquo;s Analytics &amp; Behavior Change (A&amp;BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights driving growth, health outcome improvements, and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.</p></div><div><p>
The A&amp;BC organization is looking to grow its Product team supporting Clinical Data Science &amp; AI. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S.</p></div><div><p>
As a Senior Product Manager within A&amp;BC, you will be responsible for contributing to the creation, launch, and maintenance of AI-powered, clinical data insights across the enterprise. This role requires a strong understanding of product management, clinical data, AI-powered insights acceleration, and cross-team collaboration. The ideal candidate has familiarity with the following areas: development processes of small language models, natural language processing, training models, data annotation, and model validation. This person can work effectively with cross-functional teams, most importantly data scientists and machine learning engineers, to bring clinical data and AI products from inception to production.</p></div><p></p><div><p>
Responsibilities:</p></div><div><ul><li>
Develop feature KPIs that are aligned with the overall program KPIs and ensure metrics tracking; use data to drive feature prioritization and alignment with stakeholders on value and prioritization.</li></ul></div><div><ul><li>
Work closely with clinicians and operations to confirm business value, inform problem statements, and quantify the value of your team&rsquo;s potential solution.</li></ul></div><div><ul><li>
Develop go-live timelines with your core data science team and engineering partners; align on timelines and scope with multiple developer teams and stakeholders.</li></ul></div><div><ul><li>
Facilitate cross-team hand-offs including documentation, end-to-end QA planning, and validation.</li></ul></div><div><ul><li>
Create product requirements documents, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Leadership teams.</li></ul></div><div><ul><li>
Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand the end users and the business problem being solved. Ensure end-to-end insight and collaboration.</li></ul></div><div><ul><li>
Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, accuracy, and quality. Be prepared to discuss myriad AI solutions during discovery and make trade-off decisions.</li></ul></div><div><ul><li>
Liaise with clinicians to validate clinical AI model results and to facilitate review and refinement.</li></ul></div><div><ul><li>
Analyze product performance metrics, identifying opportunities for improvement and optimization.</li></ul></div><div><ul><li>
Work with internal customers, end users, and other stakeholders to maintain product roadmaps.</li></ul></div><div><ul><li>
Clarify and coordinate dependencies with other product teams and stakeholders and mitigate the risks and dependencies proactively.</li></ul></div><div><ul><li>
Follow agile best practices including but not limited to working with and leading a scrum team.</li></ul></div><p></p><div><p>
Required Qualifications</p></div><div><ul><li><p>
8+ years of overall work experience.</p></li></ul></div><div><ul><li><p>
3+ years&rsquo; experience working cross-functionally with Machine Learning Engineering and Data Science.</p></li></ul></div><div><ul><li><p>
2+ years&rsquo; Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers).</p></li></ul></div><div><ul><li><p>
2+ years' experience with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value.</p></li></ul></div></div><div><div><ul><li><p>
Proven track record of supporting the management of all aspects of a successful product throughout its lifecycle; including a strong understanding of QA best practices.</p></li></ul></div><div><ul><li><p>
Ability to drive outcomes in a complex environment and navigate ambiguity.</p></li></ul></div><p></p><div><p>
Preferred Qualifications</p></div><div><ul><li><p>
Familiarity with AI including small language models, large language models, prompt engineering, and machine learning.</p></li></ul></div><div><ul><li><p>
Deep knowledge of various types of healthcare data, including experience utilizing clinical and claims data to create a longitudinal patient view or using AI to drive clinical data insights.</p></li></ul></div><div><ul><li><p>
Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry.</p></li></ul></div><div><ul><li><p>
Technical product management experience and/or experience with general AI/machine learning teams.</p></li><li><p>
Demonstrated ability to operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes.</p></li><li><p>
Demonstrated ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders, including clinicians, as well as business concepts and requirements to Data Science, Engineering, and other technical teams.</p></li></ul></div><div><p><br>
Education</p></div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field</p></li></ul></div></div><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$130,295.00 - $260,590.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/31/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Product Manager - Foundational and Clinical AI

Con Edison

<div><p><b>Overview</b>
</p><p>Con Edison, a multibillion-dollar energy utility, is leading the clean energy transition in New York City and Westchester County. We are investing hundreds of millions of dollars annually to integrate distributed resources into our electric and gas systems, support electric vehicle charging infrastructure, and scale adoption of energy efficiency and clean heating technologies across our customers.</p><p></p><p>
This role serves as a senior data product and quality lead who sits between business stakeholders, data engineering, and technical development teams to ensure customer-facing data is accurate, reliable, and actionable. The Senior Specialist is responsible for monitoring and managing data quality, leading investigations into data issues, and recommending systemic changes that address root causes rather than one-off fixes. Using a deep understanding of customer needs, business processes, and regulatory requirements, this role translates requirements into data features, tools, and process improvements that support current and future compliance obligations and enable customers to confidently access the information they need to register and evaluate their energy choices.</p><p><b>
Responsibilities</b>
</p><b>Core Responsibilities</b><ul><li>
Act as the primary subject matter expert and data steward for source-system data structures, relationships and business rules.</li><li>
Interact with internal and external stakeholders and customers to analyze and document data system requirements in an Agile development environment.</li><li>
Create, review and approve technical requirements to ensure they align with system capabilities, create test scripts, and perform UAT.</li><li>
Manage department-wide projects to design, update, and/or implement new data product enhancements</li><li>
Use advanced critical thinking skills to diagnose complex problems</li><li>
Support the adherence to privacy and security standards and controls as well as to data governance processes and best practices.</li><li>
Investigate and troubleshoot data discrepancies, collaborating with technical teams to implement long-term resolutions.</li><li>
Document and maintain comprehensive data dictionaries, process documents and maps, data workflows.</li><li>
Establish and enforce data quality standards for BEUP and perform regular assessments to identify anomalies, gaps/missing data and inconsistencies.</li><li>
Contribute to data strategy planning and roadmap development.</li><li>
Manage data system alerts and communication to maintain uptime and efficiency.</li><li>
Perform other related tasks and assignments as required.</li></ul><p><b>
Qualifications</b>
</p><b>Required Education/Experience</b><ul><li>
Master's Degree and a minimum of two years relevant experience. or</li><li>
Bachelor's Degree and a minimum of three years relevant experience. or</li><li>
Associate's Degree and a minimum of four years relevant experience. or</li><li>
High School Diploma/GED and a minimum of five years relevant experience.</li></ul><b>
Preferred Education/Experience</b><ul><li>
Master's Degree in Computer Science, Information Technology, Engineering, Data Analytics, Business, or applicable degree and three years related work experience in a business data analysis area.</li></ul><b>
Relevant Work Experience</b><ul><li>
Experience with requirements gathering and documentation (both business and IT requirements) is Required.</li><li>
Excellent oral and written communication skills is Required.</li><li>
Excellent quantitative and analytical skills are Required.</li><li>
Self-sufficient person who can work collaboratively in multi-disciplinary teams, is Required.</li><li>
Flexibility to work on multiple assignments with changing priorities and stay on schedule/on budget, is Required.</li><li>
Proficiency with presenting complex analysis to audiences of varying technical backgrounds, is Required.</li><li>
Ability to learn new technology as required for the job using documentation and other available resources, is Required.</li><li>
Strong skills and experience with the MS Office suite: Word, Excel, PowerPoint, Visio, and Project, is Required.</li><li>
Experience with data visualization tools (Power BI, Tableau, Excel) for reporting and analysis, is Required.</li><li>
Strong SQL proficiency for querying, analyzing and validating data across source systems, is Required.</li><li>
Experience with database design and data modeling concepts, is Required.</li><li>
Ability to create process maps and workflow documents, is Required.</li><li>
Formal project management, business analysis and data analysis skills, is Preferred.</li><li>
Experience with Agile/Scrum methodologies - creating user stories, use cases and acceptance criteria, is Preferred.</li><li>
Experience with data governance frameworks and metadata management tools, is Preferred.</li><li>
Familiarity with the energy industry, including an understanding of energy and meter data, industry-specific terminologies and business processes, is Preferred.</li></ul><b>
Skills and Abilities</b><ul><li>
Develops and delivers effective presentations</li><li>
Must be proficient in Microsoft Office including Word, Excel, Outlook and PowerPoint, etc.</li><li>
Demonstrated problem solving skills</li><li>
Possesses flexibility to work in a fast paced, dynamic environment</li><li>
Ability to simultaneously handle multiple priorities</li><li>
Promotes information sharing</li><li>
Excellent collaboration and team building skills</li><li>
Proactively approaches responsibilities</li></ul><b>
Licenses and Certifications</b><ul><li>
Driver's License Required</li><li>
Project Management Professional (PMP) Preferred</li><li>
Other: Data Management, Governance, Professional (CDMP) Preferred</li><li>
Other: Agile, SAFe Agile Preferred</li></ul><b>
Additional Physical Demands</b><ul><li>
The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.</li><li>
The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.</li></ul></div>

Clean Energy Senior Specialist Products

SBH Fashion

<div>
 Job Title: Email Marketing Manager (Email, SMS &amp; Loyalty)
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 The Email Marketing Manager will own the execution and optimization of our email, SMS, and loyalty programs with a sharp focus on fashion merchandising, customer lifecycle strategy, and revenue growth. This role sits at the intersection of brand storytelling, data, and performance&mdash;translating product drops, seasonal moments, and customer insights into highly effective retention campaigns.
 <br/>
 <br/>
 Reporting to the Director of Growth Marketing, this role will be responsible for day-to-day campaign execution, automated lifecycle flows, loyalty initiatives, and performance reporting, while partnering closely with Merchandising, Creative, eCommerce, and Customer Service.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Email &amp; SMS Execution
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own the end-to-end execution of email and SMS campaigns, including calendars, segmentation, QA, and deployment
  </li>
  <li>
   Build, manage, and optimize lifecycle automations (welcome, abandoned browse/cart, post-purchase, win-back, VIP)
  </li>
  <li>
   Ensure messaging aligns with brand voice, seasonal priorities, and fashion merchandising strategies
  </li>
  <li>
   Optimize send cadence, frequency, and content mix to balance revenue performance with brand experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Loyalty Program Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Execute and optimize the loyalty program across tiers, rewards, perks, and experiential benefits
  </li>
  <li>
   Partner with Growth and eCommerce to align loyalty mechanics with customer lifetime value goals
  </li>
  <li>
   Support VIP and high-value customer engagement strategies across email, SMS, and loyalty touchpoints
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Fashion Merchandising &amp; Cross-Functional Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Translate product drops, collections, and key fashion moments into compelling retention storytelling
  </li>
  <li>
   Partner with Merchandising and Creative to merchandise emails and SMS for conversion (product order, imagery, copy hierarchy)
  </li>
  <li>
   Align retention efforts with paid media, on-site promotions, and broader marketing campaigns
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Analytics &amp; Optimization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Report on core retention KPIs including revenue contribution, repeat purchase rate, CLTV, Email/SMS ROI, AOV, and engagement metrics
  </li>
  <li>
   Continuously A/B test subject lines, content, product placement, timing, and offers
  </li>
  <li>
   Use performance insights and customer behavior to inform ongoing optimization and strategy
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Operational Excellence
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Maintain clean audience segmentation based on behavior, lifecycle stage, spend, and engagement
  </li>
  <li>
   Ensure deliverability best practices and platform health
  </li>
  <li>
   Support process improvements and documentation to scale retention efforts efficiently
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4&ndash;6+ years of experience in retention or lifecycle marketing, preferably within fashion or luxury retail
  </li>
  <li>
   Deep hands-on experience with email and SMS platforms (e.g., Klaviyo, Attentive, Postmark, Braze)
  </li>
  <li>
   Strong fashion merchandising sensibility with the ability to curate product stories that convert
  </li>
  <li>
   Data-driven mindset with comfort analyzing performance and presenting insights clearly
  </li>
  <li>
   Highly organized, detail-oriented, and able to manage multiple campaigns in a fast-paced environment
  </li>
  <li>
   Strong cross-functional communication skills and collaborative approach
   <br/>
   <br/>
  </li>
 </ul>
 Salary $100,000
 <br/>
 <br/>
</div>


Email Marketing Manager (Email, SMS & Loyalty)

Alloy

<div><h2 class="jobSectionHeader"><b>Alloy is where you belong!</b></h2>
<p>
Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 800 of the world's largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers.</p>
<p>
Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we've been continuously recognized and named one of Inc. Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by American Banker, year after year.</p>
<p>
Check out our investors and read more about us here.</p>
<h2 class="jobSectionHeader"><b>
About the team</b></h2>
<p>
We are seeking an experienced Engineering Manager to lead our Data Partner Integrations team within the Connections organization. Alloy partners with hundreds of data vendors that perform work across identity verification, fraud mitigation and many others. To scale this out, Alloy is building the next generation integration platform, which will make it easy to build, operate and maintain data integrations.</p>
<p>
Reporting to the Head of Engineering, you will lead the development of enterprise-scale third party data and product integrations supporting our client use cases and leading the third-party marketplace efforts. You will own the technical and strategic vision for our data and product partner infrastructure, ensuring it meets current and future needs for scale and interoperability. Your work will involve continuously improving our integration architecture and monitoring at scale.</p>
<p>
Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a week, and remote employees onsite once a quarter.</p>
<h2 class="jobSectionHeader"><b>
What you'll be doing</b></h2>
<p>
The Engineering Manager's responsibility is primarily their team. They will balance three key responsibilities: recruiting and hiring great people, developing and mentoring each person that reports to them, and assisting the team in building and shipping the best product..</p>
<h3 class="jobSectionHeader"><b>
As the Engineering Manager, you will:</b></h3>
<ul><li>Recruit, hire, develop, and mentor team members, holding weekly 1:1s and supporting their professional development.</li>
<li>Create, track, and manage engineering team metrics and KPIs, following the principles of Accelerate's &quot;Four Key Metrics.&quot;</li>
<li>Work closely with partnerships, internal and external stakeholders, and other key teams across the company.</li>
<li>Communicate technical and product decisions to the right people, resolve blocking issues, and keep our development machine humming</li>
<li>Establish and manage governance around release, deployment, monitoring, and testing to maintain high-quality integration standards.</li>
<li>Drive the technical and strategic vision for our data integration infrastructure to meet future scalability and interoperability needs of hundreds of data partners.</li>
<li>Support team happiness and productivity, embodying our values: collaborate, be bold, get scrappy, and celebrate our differences.</li>
</ul><h2 class="jobSectionHeader"><b>Who we're looking for</b></h2>
<p>
We are looking for an Engineering Manager to lead our Data Partner Integrations team. In this role, you'll have the agency to improve our integrations platform and lead data marketplace initiatives. An ideal candidate possesses:</p>
<ul>
<li>8+ years in engineering with at least 3 years in an engineering leadership position.</li>
<li>A track record of successful projects demonstrating a commitment to product excellence and client impact.</li>
<li>Experience working with data product vendors for API, SDK integrations and digital marketplaces.</li>
<li>Experience scaling process and infrastructure, with feedback and insights from internal and external stakeholders.</li>
<li>Technical leadership:</li>
<li><ul><li>Deep technical background in software development with intermediate-to-expert skills in JavaScript, TypeScript, React, Node, and exposure to Python.</li>
<li>Ability to lead thorough code reviews and help engineers solve bugs.</li>
<li>Familiarity with AWS infrastructure and experience with highly scalable and highly available application architectures.</li>
</ul></li><li>Experience leading sprint planning, goal based project tracking and execution.</li>
<li>Ability to manage multiple projects, priorities and deadlines.</li>
<li>Excellent written and verbal communication skills.</li>
<li>Experience recruiting, hiring, and onboarding new employees.</li>
<li>Humble - agrees with the philosophy of servant leadership; you lead by pointing people in the right direction and being there to help support them along the way, not by micromanaging or demanding.</li>
<li>Must be local to New York City and attend the office 3-4 days per week.</li>
</ul>
<p><b>Nice to have:</b></p>
<ul>
<li>Experience in high-growth product companies or startups.</li>
<li>Experience building or scaling data marketplaces.</li>
</ul>
<p>We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us?</p>
<p>
Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically!</p>
<p><i>
This position has a salary range of $213,000 to $269,000.</i></p>
<h2 class="jobSectionHeader"><b>
Benefits and Perks</b></h2>
<ul><li>Unlimited PTO and flexible work policy</li>
<li>Employee stock options</li>
<li>Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options</li>
<li>401k with 100% match up to 4% of annual employee compensation</li>
<li>Eligible new parents receive 16 weeks of paid parental leave</li>
<li>Home office stipend for new employees</li>
<li>Annual Learning &amp; Development annual stipend</li>
<li>Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health</li>
<li>Hybrid work environment: managers are expected to work 3-4 days from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Wednesday/Friday most employees Zoom into work from home while some take advantage of the quieter office.</li>
</ul><h2 class="jobSectionHeader"><b>How to apply</b></h2>
<p>
Apply right here! You've found the application!</p>
<p>
Alloy is proud to be an equal-opportunity workplace and employer. We're committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter.</p>
<p>
All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you're ever unsure, please contact us directly via our website before sharing personal information.</p></div>

Engineering Manager, Data Partner Integrations

S&P Global

<b>About the Role:</b><br>
<b>Grade Level (for internal use):</b> 11
<br><br>
The Team
<br>The Credit Solutions (CS) team is a distinct business line within the Risk & Valuation Services business unit, dedicated to the commercial distribution of credit ratings, research and related content, from S&P Global Ratings.
<br><br>
The Credit Solutions Product Development Team is responsible for delivering S&P Global’s credit-related data to clients through high-performance delivery channels, including desktop applications, data feeds, APIs, and cloud-based solutions. We work at the intersection of finance, technology, and product strategy, transforming complex credit ratings, research, and market intelligence into structured, reliable, and accessible data.
<br><br>
Our team partners closely with engineers, data scientists, and business stakeholders to design, enhance, and scale our delivery platforms, ensuring clients can seamlessly integrate our data into their workflows. We emphasize innovation, data quality, and performance to meet the evolving needs of global financial institutions, investment managers, and corporate clients.
<br><br>
Joining the Credit Solutions Product Development Team means contributing to mission-critical products that empower clients to make informed credit risk and investment decisions in real time.
<br><br>
<b>Responsibilities & Impact:</b><br>
Through collaboration with S&P Global Ratings, your work will directly contribute to delivering reliable, timely, and accurate credit risk data to our global customers. You will act as a liaison between product stakeholders, technical teams, and clients, translating business needs into actionable product requirements and developing & maintaining products through its life cycle.
<br><br>
As a Senior Product Manager for Credit Solutions, you own and develop core components of strategic initiatives and high‑impact deliverables that drive revenue, expand market reach, and enhance client value. You translate complex needs into actionable product strategies and lead execution across the full product lifecycle. Your work enables us to meet the needs of existing clients, displace competitors, penetrate new markets, and deliver differentiated solutions across our delivery channels.
<br><br>
Product Ownership
<br><ul>
<li>Lead as product and project owner for multiple high‑impact initiatives, collaborating closely with Technology, Ratings, and cross‑functional teams to deliver timely, high‑value releases across channels including desktop applications, Xpressfeed, APIs, and cloud-based platforms.</li>
<li>Develop and maintain release plans in alignment with strategic objectives, partnering with the Scrum Master, Dev Manager, and Scrum Team during release planning to ensure clear priorities and predictable execution.</li>
<li>Create high‑quality user stories that meet the Definition of Ready; maintain and prioritize a Definition of Ready backlog for upcoming PI iterations.</li>
<li>Ensure execution of user stories aligns with release objectives at both the project and team level, driving transparency and alignment with Product Leads, Content Leads, and Project Owners.</li>
<li>Collaborate with QA and UAT teams to validate and complete stories on schedule, ensuring product quality and readiness for client delivery.</li>
<li>Define user stories to ensure releases meet functional and non‑functional requirements for anticipated client use cases; maintain and prioritize the product backlog accordingly.</li>
<li>Partner with Technology to identify blockers, dependencies, and constraints, ensuring product relevance and prioritization are informed by technical considerations and client needs.</li>
<li>Maintain clear visibility into the team’s progress and health, ensuring alignment with Product Leads, Project Owners, Technology, and other stakeholders.</li>
<li>Provide timely and accurate product health updates that adhere to organizational health‑reporting standards.</li>
</ul>
Go‑To‑Market Support
<br><ul>
<li>Monitor industry trends and competitive intelligence in credit risk data products, translating insights into informed prioritization and roadmap evolution.</li>
<li>Champion the Credit Solutions product suite internally and externally, serving as a subject‑matter expert and strategic advocate.</li>
<li>Represent Credit Solutions in client engagements, gathering feedback, uncovering user needs, and integrating client insights into product development and strategic planning.</li>
<li>Develop compelling collateral for new product releases, including external case studies, workflow examples, user guides, presentations, brochures, demos, and training materials.</li>
<li>Lead internal product trainings and serve as the primary internal resource on Credit Solutions capabilities, enhancements, and use cases.</li>
</ul>
<b>Compensation/Benefits Information (US Applicants Only):</b><br>
S&P Global states that the anticipated base salary range for this position is $104,710 to $140,000. Base salary ranges may vary by geographic location.
<br><br>
In addition to base compensation, this role is eligible for an incentive plan.
<br><br>
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit https://www.spgbenefitessentials.com/newhires.
<br><br>
<b>What We’re Looking For:</b><b>Basic Qualifications:</b><br>
<ul>
<li>Bachelor’s degree or higher in Computer Science, Information Systems, Data Science, Finance, Engineering, or a related technical/quantitative discipline. Master’s degree preferred.</li>
<li>7+ years of Product Management experience (or equivalent experience in Technical Product Management or Business Analysis) building and scaling data‑centric, API‑driven, or enterprise platform products.</li>
<li>Hands‑on experience with credit, fixed‑income, or financial data products, including credit ratings, risk analytics, market data, or related structured datasets.</li>
<li>Strong working knowledge of SQL for data validation, investigation, quality analysis, and complex data troubleshooting.</li>
<li>Proven experience delivering user interface products.</li>
<li>Proven experience delivering products via data feeds (e.g., FTP, SFTP), APIs (REST/JSON), and cloud environments (AWS, Azure, GCP).</li>
<li>Demonstrated ability to work with enterprise-scale technical architectures, including data pipelines, metadata models, reference data structures, and ingestion/transformation workflows.</li>
<li>Familiarity with Agile/Scrum frameworks, including user story development, backlog refinement, and PI/Release Planning.</li>
<li>Strong stakeholder management skills with experience working closely with engineering, data teams, and financial product stakeholders.</li>
<li>Excellent communication skills, especially the ability to translate complex technical and data concepts into clear requirements and client‑oriented outcomes.</li>
</ul>
This role is limited to persons with indefinite right to work in the United States.
<br><br>
Flexible Working
<br>We pride ourselves on our agility and diversity, and we welcome requests to work flexibly. For most roles, flexible hours and/or an element of remote working are usually possible. Please talk to us at interview about the type of arrangement that is best for you. We will always try to be adaptable wherever we can.
<br><br>
Return to Work
<br>Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative, we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace.
<br><br>
About S&P Global Market Intelligence
<br><br>
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
<br><br>
For more information, visit www.spglobal.com/marketintelligence .
<br><br>
What’s In It For You?
<br><br>
<b>Our Mission:</b><br>
Advancing Essential Intelligence.
<br><br>
<b>Our People:</b><br>
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
<br><br>
<b>Our Values:</b><br>
Integrity, Discovery, Partnership
<br><br>
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
<br><br>
<b>Benefits:</b><br>
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
<br><br>
<b>Our benefits include:</b><br>
<b>Health & Wellness:</b> Health care coverage designed for the mind and body.
<br><br>
<b>Flexible Downtime:</b> Generous time off helps keep you energized for your time on.
<br><br>
<b>Continuous Learning:</b> Access a wealth of resources to grow your career and learn valuable new skills.
<br><br>
<b>Invest in Your Future:</b> Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
<br><br>
<b>Family Friendly Perks:</b> It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
<br><br>
<b>Beyond the Basics:</b> From retail discounts to referral incentive awards—small perks can make a big difference.
<br><b>For more information on benefits by country visit:</b> https://spgbenefits.com/benefit-summaries
<br><br>
<b>Global Hiring and Opportunity at S&P Global:</b><br>
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
<br><br>
<b>Recruitment Fraud Alert:</b><br>
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
<br><br>
-----------------------------------------------------------
<br><br>
Equal Opportunity Employer
<br>S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
<br><br>
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
<br><br>
<b>US Candidates Only:</b> The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
<br><br>
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
<br><br>
<b>Job ID:</b> 325224
<br><b>Posted On:</b> 2026-03-01
<br><b>Location:</b> New York, New York, United States

Sr. Product Manager – Credit Solutions

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in a technical field, or equivalent practical experience.</li>
<li>8 years of experience in program management.</li>
<li>Experience managing programs involving Machine Learning (ML) or Generative AI, including model evaluation (Evals), inference latency, and data labeling pipelines.</li>
<li>Experience in leading projects that require coordination across Research, Engineering, Product, and UX Design.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>3 years of experience in the gaming industry with game engines.</li>
<li>Experience building or managing Agentic AI workflows.</li>
<li>Experience in generative media pipelines, including text-to-image, text-to-video, or procedural content generation.</li>
<li>Experience working in a Zero-to-One environment, with an ability to define structure in ambiguous, changing technical spaces.</li>
<li>Proficiency in data-driven decision-making using tools like SQL, business intelligence platform, Dremel, or Python for technical performance tracking.</li>
<li>Understanding of distributed systems, high-performance serving (TPU/GPU optimization), and component-based software architecture.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
A problem isn&rsquo;t truly solved until it&rsquo;s solved for all. That&rsquo;s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you&rsquo;ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You&rsquo;ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
</p><p>Our mission is to build the world&rsquo;s first AI-native game studio that empowers a new generation of aspiring creators to leapfrog traditional technical hurdles. By replacing steep learning curves with a collaborative, co-pilot-driven workflow, we provide a 100x productivity gain transforming game development from a specialized craft into a universal language for personal storytelling, education, and community-led innovation.<br>
<br>
We are looking for an AI-first Technical Program Manager (TPgM) who can navigate the ambiguity of a zero-to-one product. You will be the glue between AI research and production-grade game engineering, ensuring that our platform is not only technically sound but also provides a seamless, high-velocity experience for a new generation of creators.</p>
The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div></div><div><br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><p></p><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Lead the planning, execution, and delivery of cross-functional technical programs from concept to launch, ensuring alignment with the broader product goal.</li>
<li>Partner with Engineering and Research to oversee the integration of distributed systems, ensuring performance, scalability, and low latency.</li>
<li>Act as the primary technical point of contact between Engineering, Product, UX, and Research teams to translate high-level product principles into actionable technical requirements.</li>
<li>Use metrics and telemetry to inform product pivots, technical optimizations, and prioritization of the feature backlog.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Technical Program Manager, Labs Gaming

Explore 1115+ Data product manager in New York this March. Find roles across top companies and apply now to boost your career.