AI Program Governance Consultant - W2

Job Title:

AI Program Governance Consultant Position:
Contract 12+Months

Location:

Hybrid - Holyoke, MA (3 days in a week (Tue/Wed/Thur)) Min 10+ Years of Experience required Key Responsibilities

• Serves as the central coordination point for AI intake, assessment, approval, lifecycle management, and stakeholder engagement, including:
• Initiation & Review: guides requestors through proposal submission and questionnaire completion.
• Risk & Council Assessment: coordinates reviews across Data Governance, Cybersecurity, Legal, Finance, and other stakeholders and prepare materials for Gen AI Council decision-making.
• Lifecycle tracking: tracks ongoing progress on GenAI efforts and keeps Gen AI catalog up to date.
• Develops, maintains and socializes AI governance policies
  , standards, and procedures.
• Active participant in AI Champions program’s activities including but not limited to outreach, documentation and training related activities across the organization including business teams.
• Partners with Data Governance, Cybersecurity, Legal, Enterprise Architecture, Procurement, and business stakeholders to ensure AI solutions are deployed responsibly, and in alignment with organizational strategy and risk tolerance.
• Develops and maintains AI documentation that defines AI usage policies, current approved AI technologies and AI training resources.
• Partners with AI Platforms’ and Tools’ administrators to implement the guardrails to enforce organization’s standards and best practices.
• Develops and maintains dashboards and reports on AI usage, adoption and cost related metrics.
• Continuously evaluates and enhances AI governance processes, workflows, and controls to improve efficiency, transparency, and stakeholder experience.

• Bachelor’s degree in computer science or related field.
• Self-starter with ability to work independently.
• Strong written and verbal communication skills.
• Working knowledge of Generative AI concepts
  , capabilities, risks, and common enterprise use cases.
• Experience applying continuous improvement principles to develop, document, and optimize processes across cross functional teams and organizational boundaries.
• Demonstrated ability to influence cross-functional teams through collaboration and consensus-building without formal authority.
• Familiarity with AI control and governance frameworks.
• Experience with data governance practices
  , including data ownership, data classification, and data quality.

• Experience supporting enterprise AI governance programs, AI intake workflows, or governance council operations.
• Familiarity with responsible AI principles, AI risk management practices, and emerging AI regulatory expectations
  .
• Experience developing governance documentation, training materials, dashboards, or leadership reporting.
• Ability to translate technical, legal, risk, and business requirements into practical governance processes and controls.
• Experience partnering with cross-functional stakeholders such as Data Governance, Cybersecurity, Legal, Enterprise Architecture, Procurement, Finance, and business teams.
• Knowledge of AI vendor review, third-party risk management, or technology procurement processes.