Product Manager
Technical Product Owner bridging product strategy and data engineering delivery for a centralized data platform, overseeing user story creation, sprint execution, and release of analytics, reporting, and AI-driven audience intelligence solutions.
Job Description:
The Product Owner will serve as the execution link between product strategy and data engineering delivery, translating requirements into well-defined user stories and guiding the team through each sprint from refinement to release.
This role sits on a team responsible for the company's centralized data platform and the foundation for multiple client-facing data products, including dataset delivery feeds, analytics and reporting solutions, and audience intelligence tools for financial institutions. The platform ingests and models data from core banking, payments, digital banking, and CRM systems, forming the foundational layer that powers a broader suite of data intelligence products across the organization.
Working alongside the Product Manager, this role is expected to contribute data engineering domain knowledge and modern data stack awareness. The right candidate understands current architectural patterns and industry trends well enough to evaluate tradeoffs, ask good questions during technical planning, and bring informed perspective into prioritization decisions.
Responsibilities
Partner with the Product Manager and stakeholders to define and maintain business requirements, use cases, and acceptance criteria
Develop a working understanding of the data platform architecture, ingestion patterns, data models, and governance frameworks, sufficient to scope work accurately and ask the right questions
Translate product and business requirements into well-scoped Epics and User Stories; maintain a healthy, prioritized product backlog
Lead sprint planning and refinement sessions; work with engineers, analysts, and QA to scope work and estimate effort
Collaborate with technical leads to ensure solutions meet platform standards, data quality requirements, and governance policies
Write SQL queries and data transformation scripts to validate data, explore datasets, and support acceptance testing
Create clear acceptance criteria for QA to use in functional and data validation testing
Help define and maintain data quality standards, governance policies, and data taxonomy for the centralized data platform; monitor data quality across ingestion and modeling pipelines and work with engineering and analytics teams to remediate issues and uphold those standards.
Work with Design on user flows for internal and client-facing product surfaces
Produce business and technical documentation for stakeholders across product, engineering, and go-to-market functions
Stay informed on trends in data platform architecture, data-as-a-product, and the modern data stack; bring relevant market context into planning and roadmap conversations
Ensure solutions meet both business needs and technical requirements throughout the SDLC
Use innovative approaches and AI tools to drive productivity and efficiency at a personal and team level
Posted June 27, 2026