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ai enablement specialist

Jefferies

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION
  <br/>
  <br/>
 </strong>
 We are looking for a strong communicator who is passionate about change management and driving business outcomes with technology to help advance our AI initiative. The Equity Research AI Specialist will support the adoption of AI tools and practices across the Equity Research department. This role focuses on providing department members with direct, targeted, and tailored AI training, centralizing best practices, and helping shape the department&rsquo;s AI strategy through feedback and collaboration. The specialist will also assist Research Management in evaluating new AI tools and monitoring the vendor landscape, designing pilot programs, and aligning with firmwide AI initiatives.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design AI training materials and create digestible guides for research workflows.
  </li>
  <li>
   Work directly with lead analysts and their teams to help drive adoption through targeted education and problem solving.
  </li>
  <li>
   Collect department feedback to identify useful AI applications and unmet needs.
  </li>
  <li>
   Use no-code and low-code tools to implement bespoke AI workflows and frameworks.
  </li>
  <li>
   Assist in evaluating new AI tools, monitoring the vendor landscape, and driving pilots.
  </li>
  <li>
   Track usage metrics and translate observations into training and strategy updates.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Must-Have:
 <br/>
 <br/>
 <ul>
  <li>
   Strong understanding of GenAI applications and their composition; working knowledge of AI models and how they differ. For example, the following concepts should all resonate: Context Window, RAG, Chain of Thought, Structured vs Unstructured Data, MCP.
  </li>
  <li>
   Strong interest in AI enablement, change management, and strategy.
  </li>
  <li>
   Good communication (both written and verbal) and collaboration skills; ability to translate between and adapt to technical and non-technical stakeholders.
  </li>
  <li>
   Demonstrated prompt and context engineering skills.
  </li>
  <li>
   Interest in investment research and capital markets.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-2 years of experience in capital markets-focused role, preferably equity research.
  </li>
  <li>
   Experience using M365 Copilot, Claude Enterprise, OpenAI Enterprise, or similar enterprise AI tools; finance-focused AI tools such as AlphaSense, Rogo, Hebbia.
  </li>
  <li>
   Track record of evaluating AI tools and platforms.
  </li>
  <li>
   Familiarity with equity research workflows and data sources.
   <br/>
   <br/>
  </li>
 </ul>
 Primary Location Full Time Salary Range of $100,00 - $120,000.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.
 <br/>
 <br/>
 At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.
 <br/>
 <br/>
 Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law.
 <br/>
 <br/>
 The salary offered will take into consideration an individual&rsquo;s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.
</div>


AI Enablement Specialist

Datasite

<div><div>Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing</div><div>
and more. Here you&rsquo;ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.</div><div></div><div><br>
Apply for one position or as many as you like. Talent doesn&rsquo;t always just go in one direction or fit in a single box. We&rsquo;re happy to see whatever your superpower is and find the best place for it to flourish.</div><div></div><div><br>
Get started now, we look forward to meeting you..</div><div></div><div>
Job Description:</div><div></div><div>
Position Summary</div><div>
The Sales Enablement Specialist will play a key role in driving sales productivity and performance in the Americas. This role is responsible for onboarding new sellers and delivering ongoing training, tools, and process reinforcement across a rapidly growing global SaaS organization. The Specialist will collaborate closely with Sales Leadership, Product, Service, and other cross-functional partners to ensure sellers are fully equipped to meet and exceed their targets.</div><div></div><div>
Essential Duties and Responsibilities</div><ul><li><div>
Lead new seller onboarding to accelerate ramp time and ensure proficiency in product knowledge, messaging, value proposition, competitive positioning, and the full sales process.</div></li><li><div>
Deliver blended training programs (live, virtual, and eLearning) and develop curricula aligned with new product releases and go-to-market strategies.</div></li><li><div>
Coach sellers individually and in groups to build skills, reinforce best practices, and support ongoing performance improvement.</div></li><li><div>
Partner with sales leadership and cross-functional teams to identify training needs, develop assessments, and align enablement programs to business priorities.</div></li><li><div>
Evaluate and recommend emerging tools and methodologies that elevate sales effectiveness and productivity.</div></li><li><div>
Identify and drive process improvements to increase seller efficiency and time in the field.</div></li><li><div>
Support regional and global enablement initiatives while serving as a trusted subject matter expert on Datasite&rsquo;s products and services.</div></li></ul><div></div><div>
Minimum Education, Experience &amp; Competencies</div><ul><li><div>
Bachelor&rsquo;s Degree in Business or related field</div></li><li><div>
2+ years of experience in a quota-carrying, Sales Enablement, or other commercial training role</div></li><li><div>
Understanding of the full sales lifecycle</div></li><li><div>
Ability to work cross-functionally with varied stakeholders</div></li><li><div>
Exceptional written and verbal communications skills</div></li><li><div>
Strong initiative, curiosity, and work ethic, with a proactive, self-directed approach to problem-solving</div></li><li><div>
Ability to travel up to 20%</div></li></ul><div></div><div>
The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate&rsquo;s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.</div><div></div>
$82,900.00 - $142,000.00<div></div><div>
Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.</div></div>

Sales Enablement Specialist

Pencil

<div>
 <p>
  <strong>
   This role requires one day per week on site in New York City.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At The Brandtech Group, our mission is to help the world&rsquo;s leading brands grow by connecting content, data and media through technology. We believe transformation only succeeds when people have the skills, confidence and curiosity to make AI part of how they work.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Pencil, our enterprise open technology platform, enables global organisations to embed AI across their creative and operational processes - transforming how marketing gets done. But true adoption depends on understanding, not just access.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for an AI Training Lead to build the knowledge infrastructure that powers this transformation. You&rsquo;ll design and deliver learning programmes that help teams at every level understand, use and benefit from AI within their daily workflows. Working closely with Change, Implementation and Product teams, you&rsquo;ll ensure that capability grows hand-in-hand with technology.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands-on, high-impact role for a learning practitioner who understands that building capability is central to lasting change.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and deliver learning programmes that build practical AI capability across creative, marketing and operational teams.
  </li>
  <li>
   Partner closely with Pencil Product teams as a super user - translating platform updates, new features and best practices into accessible training.
  </li>
  <li>
   Identify capability gaps by engaging directly with executional, creative and delivery teams, ensuring training evolves with real needs.
  </li>
  <li>
   Collaborate with the Evangelism Lead to build advocacy and maintain excitement for AI adoption through hands-on learning experiences
  </li>
  <li>
   Provide ongoing enablement through live sessions, drop-ins and &ldquo;AI surgeries&rdquo; that help teams solve real-world challenges.
  </li>
  <li>
   Continuously measure training effectiveness, adoption and learner confidence, refining content and formats for maximum impact.
  </li>
  <li>
   Create and curate demos, showcases and case studies that illustrate real-world success and impact.
  </li>
  <li>
   Partner with Comms, Marketing and Brandtech PR to ensure alignment and amplification across channels.
  </li>
  <li>
   Lead AI roadshows, thought-leadership sessions and live experiences that engage and inspire.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your background:
  </strong>
 </p>
 <ul>
  <li>
   Proven experience designing and delivering training programmes for digital transformation or technology enablement.
  </li>
  <li>
   Proven experience working in a creative agency environment - background in design or animation
  </li>
  <li>
   Background in Capability Building, Tech enablement or Creative design.
  </li>
  <li>
   Experience collaborating with Product, Change and HR teams to align capability building with transformation strategy.
  </li>
  <li>
   Skilled communicator with the ability to translate technical AI concepts into accessible, engaging learning.
  </li>
  <li>
   Passionate about helping people develop confidence and curiosity with new technology.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You&rsquo;ll Thrive Here If You&hellip;
  </strong>
 </p>
 <ul>
  <li>
   Believe capability is the foundation of transformation
  </li>
  <li>
   Enjoy helping others gain confidence through learning and experimentation
  </li>
  <li>
   Value clarity, simplicity and creativity in how you teach complex ideas
  </li>
  <li>
   Collaborate naturally with change and product teams to align learning to outcomes
  </li>
  <li>
   Get energy from scaling knowledge across diverse markets and teams
  </li>
  <li>
   Care as much about behaviour change as knowledge retention
  </li>
  <li>
   See learning as a continual process, not a one-time event
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <ul>
  <li>
   Salary is typically in the range of $100-150k and is determined by experience and impact. We may be flexible for the right candidate.
  </li>
  <li>
   25 days PTO plus public holidays, although we operate a Flexible Time Off scheme
  </li>
  <li>
   Health insurance / private medical cover
  </li>
  <li>
   Monthly stipend towards wellness, fitness, and learning and development
  </li>
  <li>
   Remote - work from anywhere in your home country
  </li>
  <li>
   Enhanced parental leave policies, whether you become a parent through birth, adoption or surrogacy
  </li>
  <li>
   Flexible working hours
  </li>
 </ul>
</div>


AI Training Lead

Humana

<div><h1 class="jobSectionHeader"><b>Become a part of our caring community and help us put health first</b><br>
</h1>
We are seeking a strategic and forward‑thinking AI Strategy and Enablement Principal to lead our enterprise approach to AI delivery, governance, and risk. With AI at the forefront of our transformation, this role ensures that innovation accelerates responsibly by integrating AI and IT risk practices into every phase of the SDLC. You will oversee demand planning, maintain the enterprise inventory of AI initiatives, and provide a single‑pane‑of‑glass view into delivery progress, initiative health, and risk posture. As a senior advisor to executive leadership, you will shape our AI risk strategy, enable decision‑making, and ensure that rapid AI delivery aligns with our Responsible AI standards and enterprise risk tolerance.<p></p><p>
We are seeking an experienced AI Strategy and Enablement Principal to lead our enterprise approach to AI delivery, governance, and risk oversight. This strategic role places AI at the forefront of our technology agenda&mdash;ensuring our rapidly expanding AI portfolio is delivered with speed, transparency, and Responsible AI discipline.</p><p>
You will own the enterprise inventory of AI initiatives, manage demand planning, and provide a unified, single‑pane‑of‑glass view into AI project status, risks, performance, and health. You'll ensure decision‑makers have real-time insights while embedding robust IT and AI risk management practices into every stage of the SDLC.</p><p>
As a trusted advisor to senior executives, you will shape risk strategy, guide major AI initiatives, and help the organization accelerate innovation responsibly.</p><p><b>
Key Responsibilities</b></p><ul><li>
Lead enterprise-wide IT and AI risk assessment, mitigation, and governance, integrating controls throughout the SDLC.</li><li>
Maintain a centralized inventory of all AI initiatives, including demand intake, prioritization, and lifecycle tracking.</li><li>
Deliver a single‑pane‑of‑glass dashboard showing AI delivery progress, risk posture, model health, and resource capacity.</li><li>
Oversee AI demand planning and partner with technology and business leaders to sequence and align work.</li><li>
Define and manage KPIs for AI initiative health, including:</li><li>
Delivery velocity and cycle-time trends</li><li>
Model performance and drift indicators</li><li>
Responsible AI control adherence</li><li>
Capacity and resource alignment</li><li>
Business value realization</li><li>
Operational stability and incident trends</li><li>
Provide strategic recommendations to senior executives on AI risks, opportunities, and organizational readiness.</li><li>
Ensure accelerated AI delivery remains aligned with enterprise risk tolerance, regulatory expectations, and Responsible AI standards.</li><li>
Serve as an advanced subject matter expert, supporting multiple programs, lines of business, and technology domain</li></ul><h1 class="jobSectionHeader"><br>
<b>
Use your skills to make an impact</b><br>
<b>
</b></h1><p><b>Required Qualifications</b></p><ul><li>
Bachelor's degree in a technical related field</li><li>
10+ years of technical experience</li><li>
2-5 years of project/people leadership</li><li>
5+ years of experience in IT Risk Management</li><li>
2+ years of experience at leading and influencing leaders related to transformational IT strategy</li><li>
1+ years of experience implementing or advising on AI related strategy</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
PMP, PgMP<b>,</b> or PMI‑ACP for advanced delivery leadership</li><li>
Demonstrated ability to manage a portfolio of AI initiatives and enforce prioritization, demand planning, and resource allocation processes</li><li>
Proven ability to influence senior executives on matters of technology, AI risk, and organizational strategy.</li><li>
Experience working with<b> </b>AI regulatory expectations (e.g., NIST AI RMF, EU AI Act principles, industry RAI standards).</li></ul><p><b>
Additional Information</b></p><p>
Remote/WAH requirements:</p><ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul><p></p>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.<p></p><p><b>
Scheduled Weekly Hours</b></p><p></p>
40<p></p><p><b>
Pay Range</b></p>
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.<br>
<p></p>
$156,500 - $215,300 per year<br>
<p></p>
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.<p></p><p><b>
Description of Benefits</b></p>
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<p></p><h1 class="jobSectionHeader"><b><br>
About Us</b><br>
</h1>
Humana Inc. (NYSE: HUM) is committed to putting health first &ndash; for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.<p></p><p><br>
<br>
<b>Equal Opportunity Employer</b></p><p></p><p>
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</p></div>

AI Strategy and Enablement Principal

OpenAI

About the Team
<br><br>
OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem designed to accelerate customer success, secure AI adoption, and drive growth in support of OpenAI’s mission toward AGI. We collaborate closely across internal teams to ensure unified strategy and seamless execution.
<br><br>
About the Role
<br><br>
We are hiring a Global Head of Capgemini Alliance to lead and scale OpenAI’s flagship enterprise partnership.
<br><br>
OpenAI and Capgemini have established a global alliance designed to deliver multi-year AI enterprise transformations powered by OpenAI’s enterprise products. This role serves as the single accountable executive owner of the alliance. It anchors strategic direction, governs execution, and converts alignment into scaled commercial and operational outcomes across the global enterprise market.
<br><br>
The position carries full responsibility for alliance performance, operating model integrity, and sustained expansion.
<br><br>
<b>In this role you will:</b><br>
Own the global Capgemini alliance P&L, including revenue growth, deployment velocity, and long-term expansion.
<br><br>
Run OpenAI’s side of the
<br><br>
AI Transformation Alliance,
<br><br>
the operating system for hundreds of joint clients / enterprise AI transformation opportunities
<br><br>
Serve as OpenAI’s senior executive counterpart to Capgemini’s global leadership.
<br><br>
Set joint priorities, resolve escalations, and drive coordinated execution at scale.
<br><br>
Direct allocation of OpenAI’s research, product, and GTM resources across Capgemini-led engagements.
<br><br>
Govern Capgemini’s access to tiered OpenAI benefits, including engineering engagement, roadmap collaboration, co-build initiatives, and GTM priority, tied to performance.
<br><br>
Lead co-selling and execution of large, complex enterprise AI Cloud transformation opportunities.
<br><br>
Engage directly with enterprise executives across procurement, security, legal, risk, and technology functions.
<br><br>
Ensure Capgemini delivers OpenAI enterprise products as part of consulting cycles from strategy through long-term operations.
<br><br>
Enforce delivery quality, certification standards, and conflict-of-interest guardrails across Capgemini’s global workforce.
<br><br>
Define vertical strategy and lighthouse account selection across priority industries.
<br><br>
Stand up OpenAI’s dedicated Capgemini alliance team across partner management, technical success, enablement, and operations.
<br><br>
Build leadership bench strength and establish a durable cadence for alliance execution.
<br><br>
<b>You might thrive in this role if you have:</b><br>
Bachelor’s degree in Business, Technology, or a related field; equivalent practical experience welcomed. Master degree or MBA preferred.
<br><br>
8–12+ years of experience in partnerships, channel, business development, or growth roles within SaaS or product-led organizations.
<br><br>
Deep Capgemini experience with trusted senior-level relationships and strong command of internal decision dynamics.
<br><br>
Ownership of large-scale, multi-year partnerships with full commercial and operational accountability.
<br><br>
Global systems-integrator leadership experience across sales, delivery, and enablement.
<br><br>
Direct leadership in complex enterprise transformation deals involving executive sponsors and enterprise governance.
<br><br>
Proven ability to design and scale joint operating models between large organizations.
<br><br>
High-stakes execution leadership with comfort operating under accountability.
<br><br>
Ability to influence cross-functional leaders across product, sales, legal, communications, and partner organizations.
<br><br>
Platform and services go-to-market fluency.
<br><br>
Enterprise AI, cloud, and data transformation literacy with credibility among CIOs, CTOs, and enterprise architects.
<br><br>
About OpenAI
<br><br>
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
<br><br>
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
<br><br>
Compensation
<br><br>
$378K – $420K + Offers Equity

Partner Director, Global Capgemini Alliance

Zeta Global

<div>
 <p>
  <strong>
   WHO WE ARE&nbsp;
  </strong>
 </p>
 <p>
  Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform &ndash; powered by one of the industry&rsquo;s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  Join our dynamic team of AI Adoption Specialists at Zeta Global! We are at the forefront of AI technology, revolutionizing marketing strategies with our cutting-edge AI capabilities. We are looking for enthusiastic, tech-savvy individuals who are passionate about AI and eager to help clients harness the power of our innovative solutions.
 </p>
 <p>
  <em>
   This is a hybrid role based out of our NYC office.
  </em>
 </p>
 <p>
  <strong>
   What You'll Do:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Empower Clients:
   </strong>
   Provide hands-on training and enablement sessions to help clients maximize the benefits of Zeta's AI-driven Marketing Platform.
  </li>
  <li>
   <strong>
    Live Demos:
   </strong>
   Showcase our AI capabilities at live events and conferences, offering attendees a firsthand look at our transformative technology.
  </li>
  <li>
   <strong>
    Build Relationships:
   </strong>
   Develop and nurture strong relationships with clients, working closely with them to drive AI adoption and identify new use cases for their marketing programs.
  </li>
  <li>
   <strong>
    Share Knowledge:
   </strong>
   Document and share best practices, tips, and real-world use cases with both internal teams and Clients.
  </li>
  <li>
   <strong>
    Feedback Loop:
   </strong>
   Collaborate with our Product team to relay client feedback and insights, helping to shape the future of our AI offerings.
  </li>
 </ul>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    AI Enthusiast:
   </strong>
   In-depth understanding of Generative AI technologies (e.g., ChatGPT, Claude, Gemini, Perplexity).
  </li>
  <li>
   <strong>
    Curious Mind:
   </strong>
   Passionate about learning and understanding the full AI capabilities of Zeta's Marketing Platform.
  </li>
  <li>
   <strong>
    Great Communicator:
   </strong>
   Strong communication skills, able to present complex AI concepts in an accessible way to non-technical clients.
  </li>
  <li>
   <strong>
    Creative Thinker:
   </strong>
   Ability to brainstorm and collaborate with clients on innovative uses for AI in their marketing strategies.
  </li>
  <li>
   <strong>
    Team Player:
   </strong>
   Works well with internal teams across Customer Solutions, Solutions Consulting, Enterprise Ops, and Product Management.
  </li>
  <li>
   <strong>
    Willing to Travel:
   </strong>
   Open to traveling up to 25% of the time, especially during peak periods.
  </li>
 </ul>
 <p>
  <strong>
   Why Join Us:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Innovative Environment:
   </strong>
   Be part of a forward-thinking company that&rsquo;s shaping the future of marketing with AI.
  </li>
  <li>
   <strong>
    Career Growth:
   </strong>
   Opportunities for professional development and career advancement.
  </li>
  <li>
   <strong>
    Collaborative Culture:
   </strong>
   Work with a supportive and passionate team dedicated to pushing the boundaries of AI technology.
  </li>
  <li>
   <strong>
    Impactful Work:
   </strong>
   Play a crucial role in helping clients transform their marketing efforts through the power of AI.
  </li>
 </ul>
 <p>
  <strong>
   BENEFITS &amp; PERKS
  </strong>
 </p>
 <ul>
  <li>
   Unlimited PTO
  </li>
  <li>
   Excellent medical, dental, and vision coverage
  </li>
  <li>
   Employee Equity
  </li>
  <li>
   Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
  </li>
 </ul>
 <p>
  <strong>
   SALARY RANGE
  </strong>
 </p>
 <p>
  The salary range for this role is $80,000 - $90,000, depending on location and experience.&nbsp;&nbsp;
 </p>
 <p>
  <strong>
   PEOPLE &amp; CULTURE AT ZETA
  </strong>
 </p>
 <p>
  Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual&rsquo;s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.&nbsp;&nbsp;
 </p>
 <p>
  We&rsquo;re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:&nbsp; https://zetaglobal.com/blog/a-look-into-zetas-ergs/&nbsp;
 </p>
 <p>
  <strong>
   ZETA IN THE NEWS!
  </strong>
 </p>
 <p>
  https://zetaglobal.com/press/?cat=press-releases&nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <p>
 </p>
</div>


AI Adoption Specialist

Major League Soccer

<div>Overview:
<div>
Major League Soccer has built Fan Genome, a 360&deg; fan intelligence platform unifying demographic, behavioral, transactional, and engagement data across the league. MLS operates a modern cloud-native Lakehouse architecture built on medallion design, decoupled storage and compute, and distributed processing at scale.</div><div><br>
We are seeking a Director of Analytics Engineering &amp; BI Platform to lead the analytics engineering function and fully enable the BI organization on top of this existing foundation. This role focuses on curating scalable data products, standardizing enterprise metrics, strengthening semantic governance, and ensuring BI and AI use cases are supported by trusted, high-performance datasets.</div>
Responsibilities:
<div><b>
Lakehouse Enablement and Analytics Integration</b></div><ul><li>
Leverage MLS&rsquo;s existing Lakehouse architecture across bronze, silver, and gold layers to deliver scalable analytics and BI-ready data products.</li><li>
Define modeling, transformation, and serving standards that align analytics engineering workflows with the underlying platform.</li><li>
Partner with data engineering to ensure ingestion pipelines and core datasets support downstream BI and semantic requirements.</li><li>
Establish best practices for incremental processing, schema evolution, and open table usage within analytics use cases.</li><li>
Structure analytics workloads to take full advantage of decoupled storage and distributed compute capabilities.</li></ul><div><b>
Analytics Engineering &amp; Domain Data Products</b></div><ul><li>
Lead development and refinement of curated gold-layer datasets aligned to fan, commerce, content, and engagement domains.</li><li>
Implement scalable transformation frameworks leveraging distributed compute engines such as Spark or equivalent.</li><li>
Design domain-oriented data products built on large, incrementally processed tables rather than fragmented reporting schemas.</li><li>
Standardize transformation logic, automated testing, version control, CI/CD, and lineage tracking.</li><li>
Ensure data products are reusable, well-documented, and trusted across the organization.</li></ul><div><b>
BI Curation &amp; Enterprise Enablement</b></div><ul><li>
Curate and optimize analytics datasets specifically for Power BI and other enterprise BI tools.</li><li>
Design scalable BI-ready datasets that balance usability, governance, and performance.</li><li>
Optimize semantic models for query performance, refresh efficiency, and executive reporting requirements.</li><li>
Establish standards for dataset certification, lifecycle management, and metric consistency.</li><li>
Define best practices for incremental refresh, aggregation strategies, and performance tuning within Power BI.</li><li>
Provide structured partnership and ongoing support to ensure the BI team is fully enabled with stable, performant, and governed datasets.</li></ul><div><b>
Semantic Governance &amp; Knowledge Graph</b></div><ul><li>
Operate and evolve a centralized semantic layer that standardizes KPI definitions, hierarchies, and metric logic.</li><li>
Encode business rules programmatically to eliminate duplication across dashboards and downstream systems.</li><li>
Maintain a pragmatic semantic knowledge graph capability to model key entities and relationships across fan, commerce, and engagement domains.</li><li>
Ensure semantic assets are machine-readable and consistent across BI, APIs, and AI use cases.</li><li>
Implement metric certification, versioning, and change management processes.</li></ul><div><b>
Data Quality, Observability &amp; Contracts</b></div><ul><li>
Implement and mature a comprehensive data quality framework across medallion layers.</li><li>
Define SLAs for critical datasets and enterprise KPIs.</li><li>
Establish automated validation, reconciliation testing, anomaly detection, and freshness monitoring.</li><li>
Embed quality controls and semantic validation into analytics workflows.</li><li>
Formalize data and semantic contracts between upstream producers and BI consumers.</li></ul><div><b>
AI-Ready Data &amp; Metadata Foundations</b></div><ul><li>
Translate business logic and KPI definitions into structured, machine-readable representations.</li><li>
Maintain metadata-driven documentation capturing metric logic, lineage, and transformation dependencies.</li><li>
Ensure BI datasets and semantic assets are prepared for AI and advanced analytics use cases.</li><li>
Support integration with feature stores and emerging AI workflows where appropriate.</li></ul><div><b>
BI &amp; Asset Migration</b></div><ul><li>
Lead structured migration of legacy reporting assets and fragmented BI datasets into the unified Lakehouse and semantic architecture.</li><li>
Define migration playbooks including inventory, reconciliation, validation, parallel runs, and deprecation planning.</li><li>
Ensure metric parity and stakeholder confidence during transitions.</li></ul><div><b>
Leadership, Team Management &amp; Stakeholder Partnership</b></div><ul><li>
Lead, manage, and develop a high-performing analytics engineering team, including hiring, coaching, and performance management.</li><li>
Establish clear goals, operating rhythms, and accountability frameworks.</li><li>
Create career paths aligned to modern analytics engineering practices.</li><li>
Serve as a data champion across the organization, promoting enterprise data standards and metric consistency.</li><li>
Establish clear operating models across data engineering, analytics engineering, BI, and AI teams.</li><li>
Partner with executive stakeholders to translate business KPIs into governed semantic models and scalable data products.</li><li>
Foster a culture centered on engineering rigor, data quality, collaboration, and stakeholder alignment.</li></ul>
Qualifications:
<div><b>
E</b><b>ducation and Experience</b></div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required. Advanced degree preferred.</li><li>
10+ years of experience working with modern cloud-native data platforms and enterprise BI ecosystems.</li><li>
8+ years leading engineering or analytics teams in distributed data environments.</li></ul><div><b>
Required skills</b></div><div><br>
</div><div><b>Modern Lakehouse &amp; Distributed Systems</b></div><ul><li>
Proven experience working within large-scale Lakehouse architectures with medallion modeling.</li><li>
Strong understanding of decoupled storage and compute architectures.</li><li>
Experience with open table formats such as Apache Iceberg or Apache Hudi.</li><li>
Expertise in distributed processing engines such as Apache Spark.</li><li>
Experience designing analytics workflows over large tables in object storage environments.</li></ul><div><b>
BI Curation &amp; Power BI Expertise</b></div><ul><li>
Strong experience designing, optimizing, and governing Power BI datasets at scale.</li><li>
Deep understanding of semantic modeling within Power BI, including measures, calculation groups, incremental refresh, and performance tuning.</li><li>
Experience building certified enterprise datasets supporting executive reporting and self-service analytics.</li><li>
Ability to align Lakehouse data products with BI consumption-layer requirements.</li></ul><div><b>
Analytics Engineering &amp; Semantic Modeling</b></div><ul><li>
Experience designing domain-oriented data products in Lakehouse environments using medallion layering and distributed transformations.</li><li>
Demonstrated experience building governed semantic layers and enterprise metrics frameworks.</li><li>
Ability to encode business rules programmatically and maintain machine-readable metric logic.</li><li>
Working knowledge of semantic knowledge graph concepts and entity relationship modeling.</li></ul><div><b>
Data Quality &amp; Observability</b></div><ul><li>
Experience implementing automated data validation frameworks in distributed architectures.</li><li>
Strong understanding of reconciliation testing, SLA enforcement, and lineage tracking at scale.</li></ul><div><b>
AI-Ready Data Systems</b></div><ul><li>
Familiarity with feature stores, embeddings, and vector indexing concepts.</li><li>
Experience maintaining metadata-driven systems that support machine-readable business semantics and AI consumption of analytics assets.</li></ul><div></div><div><b><br>
Total Rewards</b></div><div>
Major League Soccer offers a competitive starting base salary of $200,000 - $230,000.00, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities.</div><div></div><div><br>
We believe in the power of in-person collaboration to fuel creativity, strengthen connections, and cultivate a vibrant workplace. As a result, employees are required to work from an MLS office at least four days a week. We understand the value of balance, so employees also have the flexibility of working remotely on Fridays, along with the option to take up to two additional remote flex days each month.</div><div></div><div><br>
At Major League Soccer, we are proud to be an equal opportunity employer. We value diversity and inclusion and believe that a diverse workforce enhances our ability to compete in the marketplace. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.</div><div></div><div><br>
We are dedicated to ensuring that individuals with disabilities are provided reasonable accommodation throughout the job application or interview process, essential job functions, and other benefits and privileges of employment. If you require accommodation, please contact us to request it.</div><div></div><div><br>
Join our team and be part of the Major League Soccer family, where we elevate the game and inspire greatness!</div></div>

Senior Director, Analytics Engineering and BI Platform

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