Senior AI Data Governance Leader

Job Summary

Seeking a Senior Data Governance Professional with 20+ years of experience leading enterprise Data Governance, AI/GenAI Governance, and Cloud Data Strategy initiatives. The ideal candidate should have hands-on expertise with Google Cloud Platform (Google Cloud Platform) and Vertex AI/Gemini, with proven experience establishing governance frameworks, responsible AI practices, regulatory compliance, and enterprise-wide AI transformation.

Core Expertise

• AI & Generative AI Governance

• Enterprise Data Governance Frameworks

• Data Policies, Standards & Compliance

• Enterprise Data Strategy

• Google Cloud Platform (Google Cloud Platform)

• Vertex AI & Gemini

• Data Quality & Metadata Management

• AI Risk Management & Responsible AI

• Strategic Communication & Executive Stakeholder Management

• Cross-functional Leadership & Change Management

• UDIC

Key Responsibilities

AI & GenAI Governance

• Establish comprehensive risk assessment protocols for Generative AI, Large Language Models (LLMs), and Multi-Agent Systems.

• Ensure compliance with evolving global AI regulations, data privacy requirements, and corporate legal policies.

• Define enterprise AI governance frameworks and Responsible AI standards.

• Develop governance policies for AI model lifecycle management.

Autonomous Agent & Data Governance

• Define policy and architectural boundaries for autonomous AI agents, including tool execution permissions and escalation protocols.

• Architect data governance strategies for AI training, fine-tuning, and Retrieval-Augmented Generation (RAG).

• Manage access controls, model ownership, version governance, and secure API-based data exchange across enterprise systems.

• Establish governance standards for enterprise AI data assets and metadata.

Value Realization & Financial Performance

• Develop methodologies to measure and track ROI for enterprise AI and GenAI initiatives.

• Define KPIs to measure operational efficiency, cost optimization, and revenue impact.

• Monitor token utilization, infrastructure consumption, and compute costs while maintaining model performance.

• Drive AI investment optimization through governance and financial oversight.

Executive Reporting & Enterprise Transformation

• Translate complex AI risks and performance metrics into executive-level dashboards and reports.

• Advise C-suite executives and board members on AI governance, enterprise AI maturity, and strategic roadmaps.

• Lead enterprise-wide AI governance adoption and organizational change management initiatives.

• Build a compliance-first, AI-ready organizational culture.

Required Experience & Technical Skills

• 20+ years of enterprise Data Governance and Data Strategy experience.

• Deep understanding of Generative AI, LLM architectures, Fine-tuning, RAG frameworks, and Autonomous Multi-Agent Systems.

• Hands-on experience with Google Cloud Platform (Google Cloud Platform), Vertex AI, and Gemini.

• Experience with AI governance platforms, automated model monitoring, and enterprise risk management tools.

• Strong knowledge of enterprise data privacy, data lineage, intellectual property protection, and cloud security.

• Expertise in governance frameworks, metadata management, data quality, and compliance.

• Exceptional executive communication and presentation skills with experience presenting to senior leadership and board executives.

• Proven ability to lead cross-functional teams and enterprise transformation initiatives.