Product Manager TS/SCI

Parsons•Arlington, TX

About The Position

Parsons is looking for an amazingly talented Joint Staff CDAO Product Manager to join our team! In this role, you will own the delivery and implementation of data and AI-enabled products and use cases, acting as the main liaison between Joint Staff Directorates and the technical development POD. You will ensure customer requirements are translated into actionable product vision, strategy, and roadmaps, and drive execution to meet Department of Defense mission objectives.

Requirements

Active TS/SCI clearance at the time of hire
Bachelor’s degree in business, computer science, engineering, information technology, data science, or a related field, or equivalent experience
5-7 years of product management or technical delivery experience, including direct responsibility for driving product implementation and cross-team execution
Demonstrated experience acting as a primary liaison between customers (business/mission owners) and technical delivery teams
Proven ability to gather, prioritize, and translate customer requirements into actionable product roadmaps and feature backlogs
Strong track record of managing iterative product development, backlog prioritization, and stakeholder communication in Agile or hybrid delivery environments
Experience facilitating product reviews, managing stakeholder expectations, and escalating blockers to ensure delivery success
Excellent written and verbal communication skills, with the ability to convey complex technical concepts to diverse audiences

Nice To Haves

Experience supporting the Department of Defense, Joint Staff, Combatant Commands, or U.S. Government organizations
Experience working with Chief Data and AI Offices (CDAOs), enterprise data programs, or digital transformation initiatives
Understanding of AI/ML product development, responsible AI, data governance, and model lifecycle management
Experience managing a product portfolio or POD team; skilled at balancing competing priorities and aligning work to business value
Familiarity with Joint Staff Directorates, Joint operational processes, or DoD mission requirements
Experience with product management and collaboration tools such as Jira, Confluence, Azure DevOps, or similar
Product management, Agile, Scrum, SAFe, or related professional certification
Advanced communication and stakeholder management skills, including experience developing executive briefings and product strategies

Responsibilities

Serve as the primary Product Manager for the Joint Staff CDAO development POD, owning the end-to-end implementation and successful delivery of data, analytics, and AI-enabled capabilities
Act as the main liaison between Joint Directorate leadership (J-Dir), mission owners, and technical POD resources, ensuring alignment of customer requirements with product vision, strategy, and execution
Gather, analyze, and synthesize customer requirements and mission needs, translating them into a clear product roadmap and prioritized feature backlog based on business value and mission impact
Drive iterative delivery: define user stories, acceptance criteria, and success measures; ensure the development POD is focused on the highest priority work
Manage stakeholder expectations, proactively communicate progress, and facilitate recurring product reviews, demos, and working sessions
Escalate relevant blockers, risks, or dependencies that impact POD velocity or delivery, and coordinate with leadership to resolve issues
Ensure continuous feedback loops between end users, stakeholders, and technical teams to maximize adoption and mission value
Coordinate cross-functional teams (data scientists, engineers, analysts, cybersecurity, etc.) to deliver high-impact capabilities on schedule and within scope
Monitor product performance and user satisfaction, refining the roadmap and backlog to drive continuous improvement
Support CDAO governance, strategic planning, reporting, and executive briefings related to Joint Staff data and AI initiatives
Stay current on emerging product management and AI/data delivery practices; identify opportunities for innovation and improvement