Finance Data & Reporting Systems Manager

eBay•Austin, TX

3d•$185,000 - $195,000•Remote

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. About the Team 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. The Role 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.

Requirements

7+ years owning and delivering data or reporting platforms as products, including defining vision, setting roadmaps, and driving adoption with business stakeholders.
Proven ability to partner across Finance, Data, and Engineering to translate business needs into scalable reporting solutions.
Hands-on experience with modern data ecosystems such as BigQuery, Snowflake, or Hadoop, including working with data pipelines, APIs, and system integrations.
Built and run “single source of truth” reporting, including defining KPIs and ensuring data accuracy through governance and reconciliation processes.
Led cross-functional initiatives across Engineering, Data, and Finance, driving delivery, handling trade-offs, and aligning to business priorities.
Improved reporting adoption and enabled self-service analytics by identifying user needs and increasing efficiency through automation and standardization.
Strong SQL and data analysis skills, with experience validating, reconciling, and troubleshooting reporting outputs.
Experience mentoring or guiding team members and supporting both technical and business contributors.

Nice To Haves

Solid understanding of financial reporting and planning cycles, with the ability to speak expertly about key business metrics such as revenue, GMV, and margin.
Familiar with AI-enabled analytics and reporting workflows, including integrating AI tools or supporting automated insights.

Responsibilities

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 critical metric 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.