Product Manager / Engineer -- TS/SCI

Parsons•Arlington, TX

About The Position

Parsons is seeking a Joint Staff CDAO Product Manager / Engineer to own the delivery and implementation of data and AI-enabled products and use cases. The role serves as the primary liaison between Joint Staff Directorates, mission owners, and the technical development POD, translating customer requirements into product vision, strategy, roadmaps, and prioritized backlogs to support Department of Defense mission objectives. The position drives iterative product delivery, coordinates cross-functional technical teams, manages stakeholder expectations, and maintains feedback loops with end users. It also monitors product performance and user satisfaction, supports CDAO governance and strategic planning, and contributes to reporting and executive briefings on Joint Staff data and AI initiatives. An active Top Secret SCI clearance is required.

Requirements

Active Top Secret SCI security clearance.
Bachelor’s degree; additional years of experience may count in lieu of a degree.
At least 5 years of experience; additional education, training, and certifications may count toward total years of experience.
Demonstrated experience serving as a primary liaison between customers or mission owners and technical delivery teams.
Ability to gather, prioritize, and translate customer requirements into actionable product roadmaps and feature backlogs.
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 support delivery success.
Excellent written and verbal communication skills, including the ability to explain 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 with Chief Data and AI Offices, 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 and balancing competing priorities against business value.
Familiarity with Joint Staff Directorates, Joint operational processes, or DoD mission requirements.
Familiarity with Jira, Confluence, Azure DevOps, or similar product management and collaboration tools.
Product management, Agile, Scrum, SAFe, or related professional certification.
Advanced communication and stakeholder management skills, including experience developing executive briefings and product strategies.

Responsibilities

Own end-to-end implementation and successful delivery of data, analytics, and AI-enabled capabilities as the primary Product Manager and Systems Engineer for the Joint Staff CDAO development POD.
Act as the main liaison between Joint Directorate leadership, mission owners, and technical POD resources, aligning customer requirements with product vision, strategy, and execution.
Gather, analyze, and synthesize customer requirements and mission needs into a product roadmap and prioritized feature backlog based on business value and mission impact.
Define user stories, acceptance criteria, and success measures, and guide iterative delivery so the POD focuses on the highest-priority work.
Manage stakeholder expectations, communicate progress, and facilitate recurring product reviews, demos, and working sessions.
Escalate blockers, risks, and dependencies affecting delivery or POD velocity, and coordinate with leadership to resolve them.
Maintain feedback loops among end users, stakeholders, and technical teams to maximize adoption and mission value.
Coordinate cross-functional teams, including data scientists, engineers, analysts, and cybersecurity personnel, to deliver capabilities on schedule and within scope.
Monitor product performance and user satisfaction, refining the roadmap and backlog for continuous improvement.
Support CDAO governance, strategic planning, reporting, and executive briefings related to Joint Staff data and AI initiatives.
Stay current on product management and AI/data delivery practices and identify opportunities for innovation and improvement.