Roles and Responsibilities :

Design, implement, and continuously improve the enterprise AI governance framework, including policies, standards, controls, intake workflows, and evidence requirements.

Lead AI risk assessments covering privacy, data protection, bias and fairness, explain ability, robustness, security, IP exposure, and operational risk.

Define governance processes for AI agents and AI applications, including inventory, ownership, approval gates, monitoring expectations, and lifecycle controls.

Partner with legal, privacy, security, enterprise architecture, and delivery teams to translate regulatory and policy requirements into implementable controls.

Support the use of Microsoft Purview and related controls for information protection, DLP, retention, auditability, and protection of data used by AI services.

Prepare governance reports, decision records, and evidence packs for leadership, control functions, internal audit, or external reviews.

Develop templates, training, playbooks,



and awareness materials to help teams adopt responsible AI practices consistently.

Experiences

Minimum 5–7+ years in governance, compliance, risk, security, privacy, or data governance roles.

Experience working with technology governance or data governance in enterprise environments.

Experience with AI governance, model risk, or responsible AI programs is strongly preferred.

Knowledge of EU and international AI / privacy regulation is required.

Skills

Robust understanding of AI governance, privacy, data protection, compliance, and control design in enterprise environments.

Practical experience with risk assessment methods, control mapping, assurance workflows, and policy operationalization.

Knowledge of Microsoft Purview and related information protection, DLP, audit, and compliance capabilities.

Ability to work effectively across legal, privacy, security, architecture, and engineering stakeholders.

📌 AI Governance Specialist (Mumbai)
🏢 thyssenkrupp Materials IT Services India
📍 Mumbai