Data Product Lead

Description

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:
The Data Product Lead will 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 and 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.

PRIMARY RESPONSIBILITIES:

• Partner with functional team leadership to co-own the vision, roadmap, and success criteriafor specific data products that support business operations, AI/ML, and agentic AI solutions.
• Collaborate with functional data product ownersto 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 Engineersto 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.

BASIC QUALIFICATIONS:

• Bachelor's degree in Data Science, Computer Science, Information Systems, Business, or related field, with 8+ years of relevant experience; additional years of 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 conceptsand 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
• US citizenship required.

PREFERRED QUALIFICATIONS:

• 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 practicesand 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)

At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now."

If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in.

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and 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 at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Descrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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