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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
路聽聽聽聽聽聽聽 Product visions and roadmaps that connect user needs, agency priorities, and measurable outcomes.
路聽聽聽聽聽聽聽 Prioritized backlogs, user stories, acceptance criteria, and release plans that give delivery teams clear decisions.
路聽聽聽聽聽聽聽 Discovery and feedback practices that bring users into product development before and after release.
路聽聽聽聽聽聽聽 Measures of adoption, quality, timeliness, usability, and mission value that guide the next investment.
路聽聽聽聽聽聽聽 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
路聽聽聽聽聽聽聽 A working foundation in product ownership or product management, including discovery, roadmaps, backlog management, and iterative delivery.
路聽聽聽聽聽聽聽 The ability to turn user and stakeholder needs into clear requirements, user stories, acceptance criteria, and priorities.
路聽聽聽聽聽聽聽 Enough data fluency to discuss schemas, data quality, analytics, interfaces, and technical tradeoffs with delivery teams.
路聽聽聽聽聽聽聽 Experience using qualitative and quantitative evidence to evaluate adoption, usability, and outcomes.
路聽聽聽聽聽聽聽 The judgment and communication skills to make tradeoffs in regulated or mission-critical environments where accountability matters.
About OPEN Data Jobs
OPEN Data Jobs connects AI, data, and software professionals with critical roles, primarily in the federal sector. Registering with ODJ can put your profile in view for multiple positions across several clients.
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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.
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.
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