LMI is seeking a Data Strategist to help an Army customer strengthen data governance and turn data and AI strategy into working capabilities. You will advise senior Army leaders, establish enterprise priorities, and guide implementation across a complex portfolio of programs and systems.

Working with program offices, data owners, architects, and engineers, you will help teams improve data quality, share information securely, and build reusable data products. Success requires sound technical judgment, the ability to align stakeholders, and a record of carrying enterprise initiatives through implementation and adoption.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. 

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. 

• Assess organizational data capabilities and mission needs. Develop data strategy and AI strategy roadmaps that prioritize investments, sequence delivery, and define measurable outcomes.
• Develop governance frameworks for government review, including data ownership, stewardship, authoritative sources, standards, and decision processes. Help teams apply approved policies and practices.
• Lead federated data management planning and guide implementation with program and technical teams. Establish domain ownership, data-product lifecycle practices, self-service capabilities, and federated governance.
• Guide improvements to data catalogs, metadata, lineage, quality, interoperability, and access controls so information can be discovered, understood, and used securely across programs.
• Prioritize AI use cases based on mission value, data readiness, feasibility, and risk. Work with government leaders and technical teams to define evaluation criteria and lifecycle controls.
• Coordinate data initiatives across program offices, functional organizations, engineering teams, and cybersecurity stakeholders. Resolve dependencies and track delivery and adoption against the roadmap.
• Help data owners and stewards adopt common practices through workshops, practical guidance, and data literacy efforts. Measure progress in data quality, reuse, and organizational adoption.
• Prepare decision papers and executive briefings that explain options, tradeoffs, risks, and recommended actions. Facilitate leadership discussions and help teams implement government-approved decisions.

Required Qualifications

• Extensive experience leading data strategy, governance, or modernization initiatives for large Department of Defense organizations, with responsibility for enterprise outcomes.
• Demonstrated success translating strategy into implemented data capabilities and adopted governance practices across multiple programs or organizational units.
• Experience implementing Data Mesh or a comparable federated data-product model, including domain ownership, shared standards, and lifecycle management.
• Strong understanding of enterprise data architecture, metadata, lineage, data quality, interoperability, and secure access, with the technical judgment to guide architects and engineers.
• Experience assessing AI opportunities and the data, evaluation, risk-management, and governance practices needed to support their use.
• Experience advising senior government leaders, facilitating decisions among stakeholders with competing priorities, and leading organizational change.
• Active Secret security clearance.
• Ability to work onsite five days per week at Fort Belvoir, Virginia.

Preferred Qualifications

• Experience supporting Army acquisition organizations, program offices, or enterprise modernization efforts.
• Familiarity with Army data stewardship, architecture, and AI adoption guidance and its practical application.
• Experience with Palantir Foundry, enterprise data catalogs, or data governance platforms.
• Experience applying data capabilities to acquisition, readiness, logistics, or other defense mission and business processes.

The target salary range for this position is $130,000-$195,000. 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. 

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