Data Product Owner: Analytics & API-Driven Platforms

Computer Services, Inc.

United States

On-site

USD 110,000 - 160,000

Full time

7 days ago

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Job summary

Computer Services, Inc. is seeking a Technical Product Owner for Data Products to bridge product strategy and engineering delivery.

You will partner with product managers and engineers to translate business needs into well-defined requirements and manage data-focused applications and BI capabilities for financial institutions. You will own the backlog, define epics and stories, validate data with SQL, and oversee acceptance testing across API and data integrations.

Qualifications

Bachelor's degree in a technical, analytical, or related field.
6+ years of experience as a Product Owner, Technical Product Owner, Business Analyst, or similar role within a software development environment.
Strong experience managing Agile backlogs, sprint planning, and refinement sessions.
Demonstrated experience writing detailed user stories, acceptance criteria, and technical requirements.
Strong API experience, including documenting requirements and validating integrations.
Advanced SQL experience, including data validation, troubleshooting, and exploratory analysis.
Experience working with data-focused products, analytics platforms, reporting tools, or business intelligence applications.
Strong communication skills with the ability to translate technical concepts for business stakeholders and business requirements for engineering teams.
Experience using Jira, Confluence, or similar Agile project management tools.

Responsibilities

Partner with Product Managers and stakeholders to define business requirements, use cases, and acceptance criteria.
Translate product initiatives into well-defined epics, user stories, and technical requirements.
Own and maintain a prioritized product backlog.
Lead backlog refinement sessions and support sprint planning activities.
Collaborate with engineering teams throughout the software development lifecycle.
Develop a strong understanding of application architecture, data sources, APIs, and integrations.
Write SQL queries to validate data, investigate issues, and support acceptance testing.
Perform user acceptance testing of features, integrations, and APIs.
Monitor data quality and validate consistency between backend systems and user-facing applications.
Partner with UX/UI and Design teams to improve user experience and product workflows.
Create detailed acceptance criteria for functional, API, and data-related development work.
Support release readiness activities, documentation, release notes, and user guides.
Leverage approved AI tools such as Copilot, Claude, Jira Rovo, or similar technologies to improve productivity, documentation, requirements gathering, and testing efficiency.
Mentor colleagues and contribute to a culture of continuous learning and collaboration.