Finance Data & Reporting Systems Manager

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.

The Finance Innovation & Transformation (FIT) organization is part of eBay’s Finance team and is dedicated to elevating Finance by aligning technology, process, data, and strategy. Our mission is to drive a culture of operational excellence and unlock industry-leading innovation across the Finance organization.

FIT partners closely with FP&A, Accounting, Tax, Treasury, and Technology teams to modernize planning capabilities, improve data clarity, and enable smarter, faster decision-making at scale.

We are seeking a Finance Data & Reporting Systems Manager to lead and scale reporting for eBay Finance, unifying core Finance data, modernizing reporting capabilities, enabling self-service insights, and embedding AI throughout the reporting lifecycle.

This role combines program leadership, technical enablement, and change management, with accountability for delivering consistent, trusted reporting, improving time-to-insight, and reducing manual reporting effort. The role includes ownership and improvement of our internally developed reporting applications, and orchestration of cross-functional delivery across various reporting and data platforms like BigQuery (GBQ), Tableau, and Hadoop.

• Partner with stakeholders to lead requirements, discovery, design, and user story development within agile frameworks.

• Drive improvements and integrations for reporting applications and connectivity across data and reporting tools (BigQuery, Tableau, Tellius, SAP S/4HANA, Hadoop).

• Help develop and implement the vision, roadmap, and critical metrics for finance reporting modernization.

• Partner with engineering on scalable data pipelines, access governance, and guide semantic model design to ensure KPI consistency across tools.

• Leverage usage analytics, surveys, and data insights to advise product decisions and prioritize improvements.

• Develop enablement, communications, and training programs to drive adoption and self-service analytics.

• Ensure role-based access controls, audit readiness, data security and reporting quality controls

• Lead and develop an individual contributor(s) to deliver high-quality curated datasets on schedule with automated reconciliation and accuracy controls, in order to further enhance the reporting landscape for Finance

• Define operating rhythms, measure adoption, and reduce manual reporting through automation and standardization.
   

• MA/MS in Business, Finance, Economics, Information Systems, Computer Science, Data Science, or equivalent experience.

• 7+ years of experience in finance transformation, analytics, product/program management, or related roles.

• Hands-on experience with BI and analytics tools (e.g., BigQuery, Looker, Tableau, or similar).

• Proven ability to translate business priorities into roadmaps and deliver cross-functional programs with measurable impact and executive visibility.

• Background in finance data governance, critical metric standardization, data quality, and scalable process building (including access controls and compliance).

• Solid understanding of financial planning and reporting cycles, and controllership requirements.

• Excellent executive communication skills (clear narratives, RAID tracking, steering committee materials).

• Proficiency in SQL for analysis/reconciliation and Excel/Sheets skills (pivot tables, lookups) strongly preferred

• Experience with AI tools (Glean, ChatGPT, Gemini, Claude) strongly preferred

• 2+ years of people management or experience leading and mentoring.

Additional Details

The base pay range for this position is expected in the range below:

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.

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. 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.