Senior Manager – Responsible AI Operations

Role Overview

The Senior Manager – Responsible AI Operations will own and operate the end-to-end Responsible AI governance program for the India COE, accountable for the AI registry and use-case intake, model risk assessment and tiering, accountability report reviews, policy and standards development, and the enterprise Responsible AI training and enablement curriculum.

What You Will Do

Key responsibilities include owning and operating the Enterprise Responsible AI governance process, defining and maintaining the Responsible AI policy, standards, and control framework, establishing and chairing the Responsible AI governance forums, and maintaining a clear RACI across product, engineering, data governance, legal, privacy, security, quality, and regulatory stakeholders.

Why It Might Be a Fit

The ideal candidate will have 15+ years of experience across data governance, data science, AI/ML, risk, compliance, or technology assurance, with significant time in a regulated industry, and proven experience establishing and operating an AI governance, Responsible AI, or model risk management program at enterprise scale.

Requirements

• Bachelor’s degree or above in computer science, data science, statistics, engineering, information management, law, or a related field
• 15+ years of experience across data governance, data science, AI/ML, risk, compliance, or technology assurance, with significant time in a regulated industry
• Proven experience establishing and operating an AI governance, Responsible AI, or model risk management program at enterprise scale
• Hands-on experience owning an AI or model inventory/registry, including intake, risk tiering, recertification, and lifecycle management
• Strong working knowledge of AI/ML and generative-AI concepts: model development lifecycle, evaluation, RAG and agentic patterns, guardrails, and monitoring, sufficient to credibly challenge technical submissions
• Practical knowledge of AI regulation and standards such as the EU AI Act, NIST AI RMF, and ISO/IEC 42001, and how they translate into operational controls
• Experience with data governance disciplines: data quality, lineage, classification, privacy, retention, and access management
• Demonstrated success designing and delivering training, enablement, and change programs for technical and non-technical audiences
• Experience leading audits, assessments, or regulatory inspections and producing defensible documentation and evidence
• Demonstrated success building and leading teams, including hiring, mentoring, and vendor management
• Excellent communication, facilitation, and influencing skills, with the ability to align legal, technical, and business stakeholders on pragmatic outcomes