AI Governance & Strategy Advisor in Washington, District of Columbia at Imagineeer, LLC

Imagineeer is a fast-growing SBA 8(a) Small Disadvantaged Business headquartered in Arlington, VA, delivering federal AI modernization across health, defense, homeland security, and transportation. We design, test, and deploy secure, AI-ready systems that move agencies from pilots to production without breaking governance, compliance, or mission continuity. Our Mission Studio model creates shared environments where policy, data, security, and operations come together. We are capability-driven and competitive by design, not program-dependent. Our leadership has operated inside the federal systems we now transform, bringing institutional knowledge that accelerates delivery and reduces risk. If real delivery motivates you more than slides, and you want your work to compound across programs and agencies, Imagineeer is growing and we are building the team to match.

About the role

Imagineeer is seeking a seasoned AI Governance & Strategy Advisor to support a federal health and human services agency client during a critical moment in its AI modernization journey. This is a senior advisory role operating at the intersection of strategy, data, architecture, and policy — helping the agency define where it is going with AI, how it will govern the journey, and what it will build first.

Among the near-term priorities is expanding digital resources for young adults transitioning out of foster care — including AI-enabled conversational tools and life-decision planning platforms. You will help shape what those tools look like, what they require, and how they get built responsibly.

This role is focused on requirements, strategy, and governance — not coding or deployment. You will work closely with program leadership, technical staff, and political stakeholders to produce the artifacts and frameworks that enable a delivery team to execute.

Key Responsibilities:

• Assess the agency's current AI posture — cataloging prior initiatives, existing capabilities, and gaps relative to mission needs.
• Define enterprise-level AI requirements in collaboration with program offices, technical staff, and leadership.
• Develop a phased implementation roadmap accounting for organizational readiness, policy requirements, and program priorities.
• Produce strategy artifacts — capability assessments, roadmaps, decision briefs — suitable for CIO and executive review.
• Design governance structures for AI lifecycle management including model review, red-flag detection, security review, and accountability controls.
• Establish standards consistent with OMB AI policy guidance, the NIST AI Risk Management Framework, and agency-specific policy requirements.
• Identify and document risk considerations — bias, data quality, security, privacy — with recommended mitigations
• Evaluate existing data infrastructure and workflows to identify AI-ready datasets and integration opportunities.
• Provide architectural guidance for AI-enabled digital platforms, including web-based citizen-facing tools.
• Support product design decisions for AI-assisted features such as chatbot functionality and life-decision planning tools.
• Serve as a bridge between technical staff and program/political leadership — translating strategy into terms that drive decisions.
• Maintain continuity of the agency's AI program posture during an active leadership transition.
• Coordinate with delivery contractors to ensure requirements are well-defined and implementable.
• Facilitate discovery sessions and working groups to build internal alignment on AI direction and priorities.

Qualifications and Skills:

• Demonstrated experience designing and implementing enterprise AI strategies within large, complex organizations — including federal agencies or comparably regulated environments.
• Proven track record modernizing digital platforms to enable AI integration and deliver improved user outcomes.
• Hands-on experience with AI tools and techniques including machine learning, natural language processing, and deep learning.
• Strong working knowledge of AI governance frameworks: OMB AI policy guidance, the NIST AI RMF, and federal data governance standards.
• Experience conducting AI capability assessments and producing executive-level strategy and requirements documentation.
• Ability to engage effectively across technical and non-technical stakeholder communities, including senior leadership and program offices.
• Eligibility to obtain and hold a Public Trust position.

Desired Skills and Competencies:
• Prior experience supporting HHS, ACF, or a comparable human services agency in an IT or AI advisory capacity.

• Background with AI Center of Excellence models, including workshop facilitation, AI lab design, and government-industry partnerships.

• Experience in AI risk management, including neural network governance, bias detection, and responsible AI principles.

• Familiarity with AI applications for web-based digital services or citizen-facing platforms.

• Knowledge of GSA MAS or similar government contract vehicles.

Additional Information:

Employment for this position is contingent upon the candidate being a United States citizen and having the ability to successfully obtain and maintain a Public Trust clearance, in accordance with applicable federal regulations. All hiring decisions will be made in compliance with applicable federal, state, and local laws and regulations

Equal Opportunity Employer:

We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications.