Senior Product Manager (Data Science TS/SCI)

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)., 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.
• Deeper familiarity with AI/ML concepts, algorithms, and current industry trends.
• Experience working in cross-functional environments with data scientists, engineers, vendors, and military professionals.
• Prior experience supporting joint military, Intelligence Community, or DoD environments.

• Comprehensive Medical, Dental, and Visions Plans
• Life Insurance
• Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
• 401K Retirement Plan with employer match
• Professional Development Training Reimbursement
• Flexible/remote work schedule.