Federal Health AI​/Data Director

Job Family
:
Data Science Consulting

Travel Required
:
Up to 25%

Clearance Required
:
Ability to Obtain Public Trust

The Director of AI & Data Solutions is a senior technical and people leader responsible for delivering AI- and data-driven solutions across HHS agencies and the U.S. Department of Veterans Affairs (VA). This role operates within a matrixed consulting organization, partnering closely with client account leadership, delivery teams, and growth teams.

Key responsibilities include:

• Lead and oversee AI and data solution delivery for federal health clients, including HHS agencies and VA, ensuring high-quality technical execution, regulatory compliance, and strong client relationships
• Serve as the technical delivery lead for complex engagements, managing scope, staffing, risk, and project economics in collaboration with account and program leadership
• Act as a trusted technical advisor to client stakeholders across IT, data, analytics, interoperability, and mission functions
• Support business development efforts by working with account teams to identify, shape, and pursue new opportunities, serving as the AI/Data technical leader during capture, proposal development, and client presentations
• Translate public health and healthcare needs into scalable, secure, and compliant end-to-end data and AI architectures, spanning data modeling, engineering, interoperability, analytics, AI/ML, and visualization
• Lead architecture and delivery decisions for centralized data repositories and enterprise data platforms, enabling integrated analytics, AI/ML, and decision support across diverse data sources
• Guide solution design and delivery across FedRAMP-authorized environments, ensuring alignment with federal security, privacy, and compliance requirements
• Build, manage, and mentor high-performing teams, including developing junior and mid-level staff, providing technical guidance, and helping scale AI and data capabilities across the organization
• Stay current on emerging AI, data, and interoperability technologies and assess their applicability to federal health and VA client needs

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field
• A minimum of TEN (10) years of experience in technology delivery, architecture, or consulting, with a strong focus on AI, data, analytics, or advanced digital solutions
• A minimum of SEVEN (7) years of experience delivering solutions to federal health organizations, including HHS agencies and/or the Department of Veterans Affairs
• Proven experience leading and managing teams, including hiring, mentoring, performance management, and growing technical capabilities across a team
• Demonstrated ability to scale delivery and technical expertise across multiple projects or accounts within a matrixed consulting environment
• Proven history of selling and shaping technology solutions in the federal health market, including participation in captures, proposals, and client presentations
• Background as a Solution Architect, Data Architect, and/or AI Architect, with hands‑on experience leading, designing, and delivering production‑grade AI and data solutions
• Strong experience designing and delivering data interoperability and integration solutions, including ingestion, transformation, and harmonization of data from disparate clinical, public health, and operational systems
• Hands‑on experience with centralized data repositories and enterprise data platforms (e.g., Databricks, Snowflake, Palantir, or comparable cloud‑native platforms)
• Experience leading and delivering data/technology solutions within FedRAMP‑compliant environments (e.g., AWS Gov Cloud, Azure Government, GCP, or equivalent)
• Strong communication skills, with the ability to clearly explain technical concepts to both technical and non‑technical audiences, including senior client leaders
• Experience managing project financials, including estimates, forecasts, and delivery margin accountability

• Master’s degree in Computer Science, Data Science, Engineering, Public Health, or a related field
• Direct experience delivering AI, data, analytics,…