Technical Product Owner

Role 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
• 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.

Qualifications

• Bachelor's degree in computer science, information systems, data engineering, or a related technical field
• 3 - 5 years of experience as a Product Owner, Business Analyst, or similar role in a data-focused, software development environment
• SQL proficiency, including writing queries, interpreting transformation logic, and validating data in a warehouse environment
• Hands-on experience with cloud data warehouse platforms (e.g., Snowflake)
• Experience with data governance concepts in practice, including data quality frameworks, data lineage, metadata management, or data catalog tooling
• Conceptual familiarity with modern data architecture patterns — data lakehouse, data mesh, ELT pipelines, data modeling approaches
• Experience managing a product backlog and driving sprint planning and refinement in an Agile environment
• Strong written and verbal communication skills — able to translate technical concepts for business audiences and business requirements for engineering teams
• Experience in a SaaS environment translating user needs into user stories and prioritizing work for engineering

Requirements

• 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
• 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
• 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

Benefits

• Competitive salary
• Eligibility for incentive awards based on both individual and business performance
• Comprehensive range of benefits