Data Product Owner Role

About OPEN Data Jobs

OPEN Data Jobs (ODJ) is built to craft data careers. We connect high-potential data, AI, and software professionals with meaningful work on the cutting edge of the federal sector, and our aim reaches beyond any single opening: to help you understand your strengths, find the right role, and grow throughout your career.

ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead. An Opening is a specific position hiring right now, with a level, a location, and an application. Roles help you see where you fit; from there, there is more than one way to move.

Today, you can apply to any Opening that fits you through our secure application system. You can also register for a Role to express interest in that broader category of work. A Role registration is not an application to every future Opening.

The work

Data Product Owners turn data assets into products people can understand, trust, and use. They set the direction for datasets, dashboards, APIs, analytical services, and other data capabilities, then keep delivery focused on the users and mission outcomes those products are meant to serve.

The work combines discovery, prioritization, and delivery. Data Product Owners learn how users make decisions, translate those needs into a roadmap and an ordered backlog, define acceptance criteria, and work with engineers, analysts, designers, governance specialists, and program leaders through release and adoption. They make hard tradeoffs visible and keep asking whether the product is producing value, not merely whether the team shipped it.

What you'll build

· Product visions and roadmaps that connect user needs, agency priorities, and measurable outcomes.

· Prioritized backlogs, user stories, acceptance criteria, and release plans that give delivery teams clear decisions.

· Discovery and feedback practices that bring users into product development before and after release.

· Measures of adoption, quality, timeliness, usability, and mission value that guide the next investment.

· Working agreements across engineering, analytics, governance, security, and program teams so ownership remains clear from idea through operation.

Who you are

You are energized by the space between a promising idea and a product that earns regular use. You listen closely, decide clearly, and can say no, not yet, or not this way while keeping stakeholders focused on the outcome.

You are fluent enough in data and delivery to work on substance with technical teams, but you never lose sight of the people using the product. You treat the roadmap as a living set of choices, not a ceremonial plan.

What you bring

• · A working foundation in product ownership or product management, including discovery, roadmaps, backlog management, and iterative delivery.
• · The ability to turn user and stakeholder needs into clear requirements, user stories, acceptance criteria, and priorities.
• · Enough data fluency to discuss schemas, data quality, analytics, interfaces, and technical tradeoffs with delivery teams.
• · Experience using qualitative and quantitative evidence to evaluate adoption, usability, and outcomes.
• · The judgment and communication skills to make tradeoffs in regulated or mission-critical environments where accountability matters.
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Requirements

What openings may require

Openings may emphasize internal data platforms, public data products, dashboards, analytical services, master data, artificial intelligence products, or operational data used in case management and regulatory work. Some may expect experience with Agile delivery, user research, product analytics, data governance, or a particular mission domain.

Specific openings will state the required level of product leadership, technical fluency, tools, work location, citizenship, work authorization, background, suitability, clearance, and domain knowledge. OPEN Data Jobs will identify those requirements with the Opening rather than treat every specialization as universal.