AI Governance & Strategy Advisor

IMAGINEEER LLC•Washington , VA

1d•$145,000 - $155,000•Remote

About The Position

We are 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.

Requirements

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.

Nice To Haves

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.

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.