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Senior Product Manager (Data Science TS/SCI)
VivSoftSpringfield, United Statesfull_timeVerifiedPosted 19 Jan 2026
About the role
Title: Senior Product Manager
Clearance Required: TS/SCI
Location: Springfield, VA
Position Type: Full-Time
Position Overview
The Senior Product Manager / Data Science for the NGA AI/ML Program serves at the intersection of advanced analytics, machine learning, and mission-driven product strategy. This role operates at the forefront of AI and deep learning technologies, enabling transformational outcomes within the National Geospatial-Intelligence Agency’s Digital Intelligence Environment (DIE).
Key Responsibilities
As a Senior Product Manager / Data Scientist on the NGA AI/ML Program, you will:
Clearance Required: TS/SCI
Location: Springfield, VA
Position Type: Full-Time
Position Overview
The Senior Product Manager / Data Science for the NGA AI/ML Program serves at the intersection of advanced analytics, machine learning, and mission-driven product strategy. This role operates at the forefront of AI and deep learning technologies, enabling transformational outcomes within the National Geospatial-Intelligence Agency’s Digital Intelligence Environment (DIE).
Key Responsibilities
As a Senior Product Manager / Data Scientist on the NGA AI/ML Program, you will:
- Analyze large, complex datasets to identify patterns, trends, and insights that improve NGA mission capabilities.
- Work collaboratively within multidisciplinary teams to solve complex, interdependent analytical and operational challenges.
- Identify high-value data sources and automate data collection, ingestion, and mining processes.
- Perform preprocessing and feature engineering on structured and unstructured datasets.
- Translate analytical findings into actionable product insights and recommendations.
- Provide strategic guidance on the applicability and direction of industry-standard AI/ML solutions.
- Contribute specialized expertise to define near- and long-term product milestones and roadmaps.
- Monitor model and product performance, supporting continuous improvement and long-term planning.
- Evaluate organizational operational and functional baselines using data-driven and industry best-practice approaches.
- Participate in account strategy sessions, technical reviews, and design reviews to validate enterprise AI/ML approaches.
- Stay current with emerging AI/ML technologies, research, tools, lessons learned, and best practices, applying them to NGA’s mission environment.
- Serve as an interface between stakeholders, users, data scientists, and engineering teams.
- Engage directly with users to uncover underlying needs and validate analytical and product solutions.
- Collaborate with product managers, program managers, engineers, and external partners to shape product vision and execution.
- Work closely with software engineering and MLOps teams to deliver scalable, secure, and mission-ready ML solutions.
- Support the full product lifecycle, from concept and experimentation through deployment, evaluation, and sustainment.
- Communicate and advocate product and analytical insights to both technical and non-technical audiences.
- Represent the NGA AI/ML Program at government and industry events as needed.
- Bachelor’s degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related discipline.
- Strong critical-thinking skills with the ability to support collaborative problem solving in a team-based environment.
- Experience working in Agile/Scrum environments; familiarity with Agile methodologies or certifications (e.g., Scrum Master).
- Working knowledge of multiple programming languages and statistical packages, as well as data tooling used in AI/ML environments.
- Experience analyzing large datasets and applying analytical methods to drive product and mission decisions.
- Strong analytical and problem-solving skills, with the ability to use data and metrics to inform product strategy.
- Minimum of 6 months of experience working in or supporting AI-related initiatives.
- Demonstrated adaptability and curiosity in AI, including continuous learning through research, coursework, workshops, or hands-on experimentation.
- Master’s degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related field.
- Relevant certifications in Product Management, Project Management, Agile, or Data Science.
- Experience leading or contributing to high-performing teams delivering IT or AI-enabled solutions.
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