Jobs
Benefits & Perks
•401(k)
•Equity
•Parental Leave
•401k
•Equity
•Parental Leave
Required Skills
Data governance
Program leadership
Cross-functional coordination
Strategic planning
Executive communication
At e Bay, 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 e Bay’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.
What You’ll Work On
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Leadership of large-scale programs: Lead execution of complex, cross-functional data initiatives, translating strategic direction into clear plans, achievements, and outcomes.
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Cross-Functional Alignment: Drive coordination across Analytics, Business, Data Engineering, and Data Governance to ensure shared ownership, timely decisions, and consistent delivery.
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Operating Model & Governance Enablement: Establish and run effective operating mechanisms, decision forums, and governance processes that enable faster, higher-quality data decisions.
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Strategy-to-Execution Translation: Partner with technical teams to ensure data access, usage, and sharing decisions are translated into scalable, executable solutions.
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Executive Visibility & Communication: Prepare concise, executive-ready updates that clearly communicate progress, risks, tradeoffs, and recommendations to senior leadership.
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Value & Risk Tracking: Define and maintain clear tracking of outcomes, risks, and business impact to ensure transparency and accountability across initiatives.
What You Bring
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Background: Master’s degree or above in a quantitative field, e.g., statistics, mathematics, physics, computer science, economics, engineering.
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Experience: 6 years leading data governance, data management, or enterprise data programs within a complex, data-driven organization.
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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.
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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.
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Strategy-to-Execution Mindset: Demonstrated ability to turn high-level direction into structured plans, clear decision frameworks, and measurable outcomes in ambiguous environments.
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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.
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Stakeholder Influence & Communication: Strong communication skills with experience preparing executive-ready materials and influencing senior leaders on data-related tradeoffs and decisions.
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AI Orientation: Curious, adaptable, and motivated to evolve data governance practices in response to new technologies, including AI and advanced analytics.
The base pay range for this position is expected in the range below:
$188,800 - $252,000
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Additional Details
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 talentebay.com. 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. 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.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.
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About eBay

eBay
PublicBuy, sell, and discover.
10,001+
Employees
San Jose
Headquarters
Reviews
3.8
5 reviews
Work Life Balance
4.2
Compensation
2.5
Culture
4.0
Career
2.8
Management
3.5
Pros
Good work-life balance
Great culture and environment
Nice colleagues and supportive people
Cons
Limited opportunities for growth
Old technology and systems
Call quotas and difficult customers
Salary Ranges
2,741 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Science Analyst 2
1 reports
$174,200
total / year
Base
$134,000
Stock
-
Bonus
-
$174,200
$174,200
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment (CodeSignal)
3
Technical Phone Screen
4
Technical Interview Rounds
5
Final Review
Common Questions
Coding/Algorithm
Technical Knowledge
Problem Solving
Data Structures
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