Data Product Lead

Leidos

2d • Remote

About The Position

The Leidos Digital Modernization Sector is seeking an experienced Data Product Lead; this position will allow for full time telework from any U.S. based location. POSITION SUMMARY: Leidos is seeking a Data Product Lead to drive the design, and delivery of high-value data products that enable advanced analytics, AI/ML, and agentic AI use cases. This role requires a product development mindset, with a strong ability to balance business priorities, user needs, and technical capabilities. The Data Product Lead will serve as the bridge between functional data product owners, business stakeholders, and technical teams (data engineering, data science, data architecture, and governance). They will be accountable for ensuring data products are well-defined, user-focused, and delivered with measurable impact on business outcomes.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Business, or related field, with 4+ years of relevant experience; additional professional work experience may be substituted in lieu of a degree.
• Proven experience in product management or product leadership, ideally with data or analytics platforms.
• Strong understanding of data platforms and pipelines (e.g., Snowflake, Informatica, Immuta, Collibra, cloud data services).
• Familiarity with AI/ML concepts and how data products enable advanced AI solutions.
• Excellent skills in requirements gathering, backlog management, and stakeholder engagement.
• Ability to coordinate cross-functional technical teams (engineering, architecture, governance, science).
• Strong business acumen and ability to translate business needs into technical data product requirements.
• Excellent communication and collaboration skills.
• US citizenship required.

Nice To Haves

• Experience with data mesh or data product-oriented architectures.
• Exposure to Generative AI and agentic AI use cases, particularly how they leverage structured, unstructured, and semi-structured data.
• Knowledge of data governance, compliance, and security principles.
• Familiarity with agile product development practices and tools (Jira, Confluence, Azure DevOps).
• Experience working in regulated industries (finance, healthcare, defense, government).
• Certifications in product management, agile practices, or data platforms (e.g., Certified Scrum Product Owner, Pragmatic Institute, Snowflake, Collibra).

Responsibilities

• Partner with functional team leadership to co-own the vision, roadmap, and success criteria for specific data products that support business operations, AI/ML, and agentic AI solutions.
• Collaborate with functional data product owners to capture business needs and translate them into technical requirements.
• Coordinate technical staff (data engineers, architects, data scientists, governance specialists) to deliver scalable, reliable, and AI-ready data products.
• Ensure alignment of data products with enterprise data architecture, governance, and quality standards.
• Partner with Data Scientists and AI Engineers to ensure data products support advanced ML, GenAI, and agentic AI use cases (e.g., enabling RAG pipelines, semantic search, or autonomous agents).
• Apply a product development mindset, focusing on usability, reusability, adoption, and measurable business value.
• Track and report on product performance, usage, and ROI, adjusting roadmaps as needed.
• Act as a champion for data products, promoting awareness, adoption, and training across the organization.
• Drive continuous improvement by incorporating feedback loops from business users and technical teams.
• Contribute to the development of data product standards, documentation, and playbooks.

Benefits

• Pay and benefits are fundamental to any career decision.
• That's why we craft compensation packages that reflect the importance of the work we do for our customers.
• Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement.
• More details are available here.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level