Senior Data Science Product Manager

The Senior Level Product Manager/Data Science for the customer’s AI/ML Program plays a critical role in the intersection of technology and strategy. This individual will operate at the forefront of AI and deep learning technologies, championing transformational changes within the Digital Intelligence Environment (DIE) of our customer., * Analyze large amounts of data to find patterns and recommend solutions that will improve the clients’ capabilities. Work will require working in teams to solve large, complex problems to achieve interrelated and interdependent objectives.

• Identify valuable data sources and automate mining/collection processes. Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of data/information to discover and articulate trends and patterns.
• Provide strategic insight and advice concerning the direction and applicability of industry-standard solutions.
• Offer specialized expertise to facilitate the development of comprehensive methods for defining present and future strategic product milestones.
• Monitor all facets of product performance, and assist in the formulation of long-term plans.
• Utilize industry-specific knowledge to evaluate an organization’s operational and functional baseline.
• Participate actively in account strategy sessions, strategic assessments, and design reviews to validate enterprise approaches and associated work products.
• Stay abreast of developments within their field of expertise and apply them to the client environment, encompassing emerging technologies, lessons learned, best practices, and assessment methodologies.
• Serve as an interface connecting stakeholders, users, and the development team. Attend industry and government events to discuss technical details related to the customer’s AI/ML program.
• Engage with users and customers to discern and comprehend their underlying needs.
• Collaborate with both internal and external stakeholders, including product and program managers, to formulate a product vision and roadmap that aligns with the NGA AI/ML Program’s objectives.
• Work in close coordination with software engineering teams to fulfill user needs and construct user experiences that meet the standards expected by the Intelligence Community, Department of Defense (DoD), and government workforce.
• Support the entire product development lifecycle, from conceptualization and design to implementation and evaluation, particularly for moderately complex product development efforts.
• Effectively communicate, educate, and advocate the vision and goals of new products, both internally and externally.

• Bachelor’s degree in a relevant field such as Computer Science, Math, Engineering, Information Technology, Business, or a related discipline.
• Active TS/SCI CI or TS/SCI with ability to obtain a CI if required by customer.
• Critical thinkers that are comfortable supporting collaborative problem solving in a team environment
• Agile/scrum experience, and familiarity with Agile methodologies or certifications, such as Scrum Master
• Has working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML)
• Analytical and problem-solving skills, with the ability to use data and metrics to drive product decisions.
• 6+ months of experience in AI space
• Adaptive Learning & AI Curiosity: The candidate should possess a relentless passion for learning and self-improvement, particularly in the AI domain. They should demonstrate a proven track record of proactively seeking out new knowledge, adapting to the ever-evolving landscape of artificial intelligence, and applying fresh insights to their work. Familiarity with the latest AI research, participation in relevant courses or workshops, and a willingness to pivot in response to new technological advancements are essential.

Desired:

• Relevant certifications or additional education in Product Management, Project Management, or a related field are a plus.
• Lead high-performing teams delivering IT solutions.
• AI/ML Familiarity, an understanding of AI/ML concepts, algorithms, and current trends.
• Cross-functional collaboration, experience working with diverse teams, such as data scientists, engineers, vendors, and military professionals.
• Experience working in a joint military environment.
• A Master’s Degree in a relevant field such as Computer Science, Math, Engineering, Information Technology, Business, or a related discipline

The salary range is provided in good faith and is based on several job-related factors, including, but not limited to, the role and associated responsibilities, Federal Government contract labor category requirements, contract wage determinations when applicable, clearance requirements, work location, relevant experience, education, certifications, specialized skills, internal equity, and approved funding.

life insurance, vision insurance, paid time off, tuition assistance, 401(k) United States, Virginia, Springfield Aug 11, 2026, For proposal-contingent positions, the listed range is an anticipated good-faith range based on current proposal assumptions. Final compensation may vary based on contract award, finalized customer requirements, approved funding, labor category alignment, and candidate qualifications. Axiologic Solutions invests in its employees beyond compensation. Depending on position and eligibility, benefits may include medical, dental, and vision insurance, life insurance, short-term and long-term disability, paid time off, holiday pay, 401(k) with company match, tuition assistance for courses and certifications, professional development opportunities, fitness and wellness support, electronic stipend, and other optional benefit elections. Applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may email their request to hr@axiologicsolutions.com or call 571-295-4990. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.