AI Program Governance Consultant

Job Title: AI Program Governance Consultant- W2 Only

Duration : 12 Months 

Location: Hybrid - Holyoke, MA (3 days On Site)

 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.

Required Qualifications

• 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 crossfunctional 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.