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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. Required Qualifications * 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. Desired Qualifications 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. Benefits: 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.