Project Coordinator - Senior Artificial Intelligence Manager

Reporting to the Artificial Intelligence Governance Lead within the Office of Digital Strategy and Governance, the incumbent will serve as lead for evaluating, monitoring, and governing artificial intelligence models. In this pivotal role, they will oversee the Department’s AI registry, ensure responsible AI usage in the agency and partner with program offices to identify and assess AI opportunities that advance public health goals.

• Intake & Risk-Scoring:
  Partner with Security, Privacy, Legal, and Procurement teams to run AI tools through a consistent, standardized intake and risk-scoring process.
• Manage the AI Registry:
  Maintain the internal registry of approved, conditionally approved, and rejected AI tools, ensuring all decisions are backed by clear, documented technical rationale.
• Ethical Risks:
  Identify and flag ethical risk areas (e.g., disparate impact, automation bias, inappropriate use in clinical or eligibility decisions) and recommend robust mitigations.
• Incident Reviews:
  Support and guide incident review processes in the event an AI tool is misused or produces harmful/erroneous outcomes.
• Technical Reviews:
  Serve as technical reviewer for internal AI tool requests, evaluating them against architecture, security, data privacy, and interoperability standards.
• Assess Vendor Solutions:
  Evaluate third-party AI/ML solutions for model transparency, explainability, training data provenance, and bias/fairness risks.
• Consult on Pilots:
  Act as an internal technical consultant to business units scoping and designing AI-enabled pilot programs.
• Translate Frameworks into Action:
  Translate federal, state, and industry frameworks (e.g., NIST AI RMF, HIPAA) into practical intake checklists and approval criteria.
• Develop Policies & SOPs:
  Draft and maintain agency-wide acceptable-use policies, Standard Operating Procedures (SOPs), and review workflows for AI adoption.
• Deliver Training &
  
  Education:
  
  Design and deliver staff training on responsible AI use, prompt literacy, and AI-related risk recognition.
• Represent the Agency:
  Track the evolving AI vendor landscape and regulatory developments; brief leadership regularly and represent the agency in interagency and industry AI governance forums.

Seven (7) years of experience in artificial intelligence, computer science, data engineering, data analytics, information technology, or a related field demonstrating a comprehensive understanding of various IT disciplines and how they intersect within large-scale organizations. At least two (2) years of experience must be within the discipline of artificial intelligence.

Substitutions:
Earned college degrees in computer science, data science, mathematics, information technology or a related field of study may substitute for the specified years of broad IT experience as follows:

• Bachelor’s degree substitutes for 4 years of experience.
• Master’s degree substitutes for an additional 1 year of experience.
• Doctoral degree substitutes for an additional 2 years of experience.

Advanced Technical Expertise and Industry

Certifications:

Deep technical knowledge of AI, machine learning, and large language models to critically evaluate technical architecture and model performance, supported by relevant industry certifications from providers such as Google, AWS, Microsoft, or IBM.

AI Governance and Risk Management Frameworks:
Practical experience serving on an AI governance committee or model risk management function, with working knowledge of frameworks such as the NIST AI Risk Management Framework, ISO/IEC 42001, SOC 2, ISO 27001, or FedRAMP.

AI Ethics, Bias Mitigation, and Regulatory Compliance:
Strong understanding of AI ethics, bias detection, and data…