Technical Product Manager – Modeling and Decision Support

We are seeking a Technical Product Manager to help lead the development of a modeling and decision-support application for the Defense Health Agency (DHA). The platform helps planners explore complex healthcare-system scenarios through simulation, data integration, and interactive analysis.

This is a hands-on product role for someone who can move comfortably between users, subject-matter experts, engineers, and organizational stakeholders. You will investigate complex operational needs, turn incomplete or high-level concepts into coherent product capabilities, and give the development team the context and direction needed to build effective software.

The successful candidate will be intellectually curious, technically conversant, and comfortable developing a deep understanding of unfamiliar workflows and modeling concepts.

• Interview users and subject-matter experts to understand their workflows, decisions, constraints, and underlying needs.
• Plan and facilitate product-discovery activities, including interviews, workflow analysis, prototype reviews, and feedback sessions.
• Distinguish underlying user problems from requested features and identify solutions that deliver meaningful operational value.
• Translate high-level concepts and complex discussions into well-defined capabilities, features, and user stories that a development team can execute.
• Document acceptance criteria, business rules, workflows, assumptions, dependencies, and intended user outcomes.
• Build and maintain a product roadmap aligned with program objectives and Agile SAFe Program Increments (PIs).
• Lead PI preparation by refining priorities, identifying dependencies, and ensuring proposed work is sufficiently understood.
• Collaborate with engineering leadership to develop achievable sprint plans and adapt priorities as new information emerges.
• Maintain and prioritize the product backlog while balancing user value, technical constraints, program commitments, and long-term product health.
• Work closely with engineers during implementation to answer questions, resolve ambiguity, and make timely product decisions.
• Collaborate with technical and domain experts as simulation logic and analytical capabilities are designed and validated.
• Participate in architectural and technical discussions to understand tradeoffs and represent user and mission needs.
• Review completed work, coordinate user demonstrations, gather feedback, and incorporate findings into future product decisions.
• Communicate product direction, priorities, progress, risks, and tradeoffs clearly to both technical and nontechnical audiences.
• Help the team continuously improve its discovery, planning, and delivery practices.

* This position is designed to be flexible, with responsibilities evolving to meet business needs and enable individual growth.

• Approximately 3–5 years of experience in technical product management, product ownership, user research, business analysis, software delivery, or a comparable role.
• Ability to obtain and maintain a Secret clearance.
• Demonstrated experience interviewing users and translating findings into actionable product requirements.
• Experience creating clear user stories, acceptance criteria, workflows, or comparable development-ready documentation.
• Experience managing a product backlog and planning work across multiple delivery increments.
• Sufficient technical fluency to work effectively with software engineers and understand system behavior, data flows, dependencies, and engineering tradeoffs.
• Strong analytical and systems-thinking skills, including the ability to make sense of complex or ambiguous problem spaces.
• Excellent written and verbal communication skills.
• Ability to work independently, make well-reasoned product decisions, and take ownership of outcomes.

• Experience developing software products for government, healthcare, defense, logistics, operations, or other complex domains.
• Experience with human-centered design, user experience research, human factors, cognitive science, instructional design, or a related discipline.
• Experience working with simulation, modeling, decision-support, data-intensive, or…