Senior Product Manager

Responsibilities

• 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 NGA 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.

Qualifications

• Active DoD TS/SCI clearance required.
• A Bachelor’s degree in a relevant field such as Computer Science, Math, Engineering, Information Technology, Business, or a related discipline.
• Critical thinker that is comfortable supporting collaborative problem solving in a team environment.
• Agile/scrum experience, and familiarity with Agile methodologies or certifications, such as Scrum Master.
• 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.
• Possess a relentless passion for learning and self-improvement, particularly in the AI domain.
• 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.

Preferred Qualifications

• 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.