Senior Manager Data Science & Analytics

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

We are seeking a Senior Manager, Data Science (Analytics) to lead analytics for eBay Live Seller Experience — a real-time livestream commerce platform and a key pillar of eBay’s next-generation selling experiences.

eBay Live enables sellers to host interactive, auction-driven livestreams across Collectibles, Luxury, Sneakers, and Apparel, combining content creation, community engagement, and commerce in real time. As a relatively new product, eBay Live Seller Experience presents a unique opportunity to define foundational analytics, shape seller-facing product strategy, and scale insights as the platform grows.

This is a hands-on, player-coach leadership role. You will personally lead complex, high-impact analyses while building and developing a strong analytics team. You will partner closely with product, engineering, design, and business leaders to ensure data, experimentation, and rigorous measurement guide seller onboarding, growth, monetization, and long-term success.

This role is ideal for an analytics leader who thrives in fast-moving, ambiguous environments and can balance deep technical leadership, execution excellence, and people leadership.

Key Responsibilities

Seller Product & Seller Success Analytics Ownership (Hands-on)

Own end-to-end analytics for eBay Live Seller Experience, including:

• Seller onboarding, activation, and time-to-first-live
• Listing quality, catalog readiness, and auction setup effectiveness
• Seller engagement, livestream frequency, and consistency
• Conversion, sell-through, revenue, and monetization performance
• Seller retention, repeat hosting behavior, and lifetime value

Design and govern seller growth experiments, including hypothesis definition, success metrics, guardrails, and post-launch evaluation
Analyze seller lifecycle performance to identify friction points and growth opportunities
Propose data-driven interventions and define clear measurement plans to assess impact
Ensure analytics outputs directly inform seller product prioritization and iteration

Technical Leadership & Analytical Depth

• Lead analyses end-to-end, from problem scoping and methodology selection to stakeholder-ready presentation
• Select and apply robust analytical methods, including advanced experimentation, econometrics, and statistical modeling, for complex measurement problems
• Set a high technical bar for analytical rigor, correctness, and interpretability
• Personally contribute to the most complex and high-impact analytical work

Review Standards, Quality Bar & Reproducibility

• Establish and enforce coding, analysis, and verification best practices across the team
• Conduct regular code and analysis reviews to ensure correctness, reproducibility, and clarity
• Define standards for documentation, experiment readouts, and decision memos
• Ensure all outputs are stakeholder-ready, trusted, and decision-oriented

Architecting Scalable Data & Analytics Solutions

• Identify and drive data solution needs in partnership with engineering, including:
  • New data pipelines
  • Event tracking and instrumentation schemas
  • Derived tables, metrics layers, and seller analytics datasets
• Design analytics solutions with scale, maintainability, and long-term usability in mind
• Influence upstream data quality and platform decisions through analytics requirements

Applied AI / ML & Automation

• Identify high-impact opportunities to apply ML, AI, and automation to seller diagnostics, insights generation, and monitoring
• Prototype analytical and ML-driven solutions where appropriate
• Partner with ML engineers and platform teams to productionize solutions at scale
• Ensure AI-driven insights are explainable, actionable, and aligned with product needs

Strategic Insights & Influential Communication

• Distill complex analyses into clear, crisp narratives tailored to senior stakeholders
• Present insights, tradeoffs, and recommendations to Directors and VPs to drive product and investment decisions
• Act as a trusted analytics advisor to eBay Live leadership, grounding strategy in data and experimentation

Ownership, Prioritization & Stakeholder Management

• Operate autonomously as the primary analytics owner for Seller Experience
• Translate evolving seller strategy into a clear, prioritized analytics roadmap
• Focus the team on high-impact problems, balancing short-term needs with foundational investments
• Manage cross-functional projects end-to-end, driving alignment and measurable outcomes

People Leadership & Player-Coach Culture

• Build, manage, and develop a high-performing analytics team
• Balance hands-on contributions with mentoring, coaching, and guidance
• Set high standards for hiring, onboarding, and performance
• Foster a culture of continuous learning, collaboration, and positivity

Required Qualifications

• 11–15 years of experience delivering analytics and data science solutions, including product or growth analytics
• 3–6+ years of experience managing and developing analytics or data science teams
• Strong hands-on expertise in Python and SQL, with the ability to personally own complex analyses
• Deep experience with product analytics, experimentation, and behavioral data
• Proven ability to design and govern growth experiments and measurement frameworks
• Experience analyzing seller onboarding, listing quality, conversion, retention, and monetization
• Experience working with large-scale, event-level or real-time datasets
• Strong problem-framing skills in ambiguous environments
• Excellent written and verbal communication skills, with executive presence

Preferred Qualifications

• Experience with livestream, creator, marketplace, or real-time commerce platforms
• Familiarity with seller growth, monetization, pricing, or marketplace health analytics
• Experience with modern data stack tools (e.g., Snowflake, Airflow, dbt)
• Experience applying AI/ML or LLM-based analytics in product or operational contexts
• Exposure to experimentation platforms, metric governance, or analytics standards programs
• Experience working in early-stage or 0→1 product environments

What You’ll Get

• A foundational leadership role in one of eBay’s most innovative seller experiences
• Opportunity to define and scale analytics for a real-time seller commerce platform
• A highly visible, hands-on role with direct influence on seller success and monetization
• Ownership of analytics strategy, execution, and team growth
• A chance to shape how data, experimentation, and AI guide eBay Live’s seller journey

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.