Data Program Lead

eBay•San Jose, CA

About The Position

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. Lead – Data Program, Global Analytics About the team and the role The Enterprise Data team partners across the company to ensure data is used intentionally, responsibly, and at scale to drive business impact. We work at the intersection of strategy, analytics, technology, and governance to enable high-quality decision-making and protect the long-term value of eBay’s data assets. In this role, you will serve as a Data Program Lead , driving execution of cross-functional data initiatives and translating leadership direction into structured plans and outcomes. You’ll operate in a highly collaborative environment, coordinating across business and technical teams to deliver progress on complex, enterprise-wide priorities. High-impact, high-agency role: perfect for a hands-on leader who thrives in fast-paced, collaborative environments.

Requirements

Background : Master’s degree or above in a quantitative field, e.g., statistics, mathematics, physics, computer science, economics, engineering.
Experience: 6+ years leading data governance, data management, or enterprise data programs within a complex, data-driven organization.
Data Governance & Policy Expertise: Strong background in data governance, data access management, data sharing, data monetization, and policy enablement — with experience translating governance principles into practical, scalable operating models.
Enterprise Program Leadership: Confirmed ability to lead cross-functional data initiatives spanning analytics, engineering, security, legal, and business teams, driving alignment and execution across multiple stakeholders.
Strategy-to-Execution Mindset: Demonstrated ability to turn high-level direction into structured plans, clear decision frameworks, and measurable outcomes in ambiguous environments.
Technical Fluency: Comfort working with data platforms, APIs, data pipelines, and access controls — able to partner effectively with technical teams without needing to be hands-on.
Stakeholder Influence & Communication: Strong communication skills with experience preparing executive-ready materials and influencing senior leaders on data-related tradeoffs and decisions.
AI Orientation: Curious, adaptable, and motivated to evolve data governance practices in response to new technologies, including AI and advanced analytics.

Responsibilities

Leadership of large-scale programs: Lead execution of complex, cross-functional data initiatives, translating strategic direction into clear plans, achievements, and outcomes.
Cross-Functional Alignment: Drive coordination across Analytics, Business, Data Engineering, and Data Governance to ensure shared ownership, timely decisions, and consistent delivery.
Operating Model & Governance Enablement: Establish and run effective operating mechanisms, decision forums, and governance processes that enable faster, higher-quality data decisions.
Strategy-to-Execution Translation: Partner with technical teams to ensure data access, usage, and sharing decisions are translated into scalable, executable solutions.
Executive Visibility & Communication: Prepare concise, executive-ready updates that clearly communicate progress, risks, tradeoffs, and recommendations to senior leadership.
Value & Risk Tracking: Define and maintain clear tracking of outcomes, risks, and business impact to ensure transparency and accountability across initiatives.