What are the responsibilities and job description for the AI Program Governance Consultant position at Pronix Inc?
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.