AI Governance Program Director (The Strategist)
Technopals Pte.Ltd. · India · posted today ago
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About this role
Location: [Remote/Hybrid/City]
Type: Full-Time / Senior Leadership
Role Overview
As the AI Governance Program Director, you will be the primary architect of our internal and client-facing AI risk frameworks. You aren't just writing a policy; you are building a living ecosystem of Continuous Control Monitoring (CCM). You will lead the "Shift-Left" movement, ensuring governance is baked into the development lifecycle from day one.
Key Responsibilities
Strategy & Roadmap: Define and execute the DotCoAI Governance Maturity Model, moving the organization from manual checklists to automated TRACE-RAI evidence gathering.
AI Asset Registry: Establish and maintain a comprehensive inventory of all AI models, third-party LLMs, and "Shadow AI" across the enterprise.
Executive Reporting: Transform complex risk metrics into high-level dashboards for the Board of Directors and Regulatory bodies.
Cross-Functional Leadership: Chair the AI Ethics Committee and act as the final arbiter for high-risk model deployments.
Qualifications
Experience: 10+ years in GRC, IT Audit, or Enterprise Risk; 3+ years leading AI-specific governance initiatives.
Technical Literacy: Ability to discuss model drift, hyperparameter tuning, and data lineage with engineering teams.
Education: Master’s degree in Law, Business (MBA), or Computer Science.
Certifications: CGEIT, CRISC, or IAPP’s Certified AI Governance Professional (AIGP).
Type: Full-Time / Senior Leadership
Role Overview
As the AI Governance Program Director, you will be the primary architect of our internal and client-facing AI risk frameworks. You aren't just writing a policy; you are building a living ecosystem of Continuous Control Monitoring (CCM). You will lead the "Shift-Left" movement, ensuring governance is baked into the development lifecycle from day one.
Key Responsibilities
Strategy & Roadmap: Define and execute the DotCoAI Governance Maturity Model, moving the organization from manual checklists to automated TRACE-RAI evidence gathering.
AI Asset Registry: Establish and maintain a comprehensive inventory of all AI models, third-party LLMs, and "Shadow AI" across the enterprise.
Executive Reporting: Transform complex risk metrics into high-level dashboards for the Board of Directors and Regulatory bodies.
Cross-Functional Leadership: Chair the AI Ethics Committee and act as the final arbiter for high-risk model deployments.
Qualifications
Experience: 10+ years in GRC, IT Audit, or Enterprise Risk; 3+ years leading AI-specific governance initiatives.
Technical Literacy: Ability to discuss model drift, hyperparameter tuning, and data lineage with engineering teams.
Education: Master’s degree in Law, Business (MBA), or Computer Science.
Certifications: CGEIT, CRISC, or IAPP’s Certified AI Governance Professional (AIGP).
Originally posted on Himalayas