Finance Product Owner – Data & Accounting

About Goods & Services

Goods & Services is a product design and engineering company.

We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size.

Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job

Goods & Services is looking for a Finance Product Owner – Data & Accounting who serves as the primary functional bridge between US Finance/Accounting leadership and the Data Engineering team. This role transforms accounting logic, general ledger feeds, and financial reconciliation workflows into actionable data models and technical backlogs.

What you’ll do

• Partner directly with US Finance and Accounting executives to capture, prioritize, and structure business processes, regulatory requirements, and reporting objectives.
• Collaborate with Data Engineers to translate general ledger feeds, accounting sub-ledgers, and complex reconciliation logic into data models, technical user stories, and acceptance criteria.
• Own, groom, and prioritize the finance data backlog. Guide sprint refinement sessions and lead User Acceptance Testing (UAT) alongside accounting stakeholders.
• Maintain real-time operational alignment with US financial leadership to ensure data platform delivery meets strict corporate finance and auditing standards.

What you’ll need

• 5+ years of experience as a Product Owner or Senior Financial Systems Analyst interfacing with Data/Engineering teams.
• Strong functional knowledge of US GAAP, General Ledger (GL) systems, sub-ledger reconciliation, and financial reporting.
• Hands-on experience structuring user stories for Data Engineering/ETL teams.