Sr Director Data & AI Governance

Intuitive•Sunnyvale, CA

20h

About The Position

We are seeking a Senior Director, Data & AI Governance to define, establish, and operationalize the company’s enterprise Data and AI Governance strategy and operating model. This leader will play a critical role in ensuring that enterprise data and AI capabilities are governed with the appropriate levels of quality, trust, security, transparency, compliance, and accountability while enabling innovation and scalable adoption across the organization. The role will partner closely with leaders across teams, to establish governance frameworks, standards, policies, and operational processes that enable the company to scale both enterprise data capabilities and AI adoption responsibly. The ideal candidate combines deep expertise in data governance, AI governance, enterprise operating models, and risk management with the ability to drive cross- functional alignment and organizational change in a rapidly evolving technology landscape.

Requirements

12+ years of experience in Data Governance, Enterprise Data Management, AI Governance, Risk & Compliance, or Enterprise Technology Leadership
Proven experience operationalizing enterprise governance frameworks and cross-functional operating models
Experience working with executive leadership and enterprise business functions in complex environments
Demonstrated success driving enterprise-wide Data and AI governance adoption and organizational change
Bachelor's degree in a relevant field (Computer Science, Information Systems, Business, Law, Data Management, or equivalent). Advanced degree preferred.
Strong understanding of enterprise data platforms, metadata management, data quality frameworks, AI/ML technologies, and responsible AI principles
Technical depth to engage credibly with data engineers, data scientists, and AI engineers on the implementation dimensions of governance — understanding data lineage, metadata standards, model risk, platform architecture, and data quality tooling well enough to make sound governance design decisions.
Experience with data observability and data quality tooling and the practical knowledge of how to implement monitoring and alerting at scale across a complex data platform.
Familiarity with identity and access management, data privacy frameworks, AI risk management, and compliance considerations
Strong executive presence with the ability to influence across business and technology organizations
Exceptional communication skills with the ability to translate governance concepts into practical business guidance
Proven ability to drive alignment across diverse stakeholder groups
Ability to balance governance rigor with business agility and innovation

Responsibilities

Define and operationalize the enterprise Data Governance vision, strategy, and operating model aligned with business objectives and enterprise data priorities
Establish governance structures that bring together cross-functional representation from business functions and technology teams
Establish and maintain enterprise-wide data governance policies, standards, procedures, and accountability frameworks
Partner with data engineering and analytics teams to define and establish a centralized metadata management strategy and metadata repository for data assets in the enterprise data platform
Partner with leaders across business functions in the definition and governance of enterprise business metrics and definitions.
Ensure business metrics and associated metadata are discoverable, searchable, and accessible to business users
Define and operationalize enterprise Data Quality and Data Observability standards and capabilities, and frameworks for monitoring and alerting.
Define KPIs and SLAs for enterprise data quality and reliability
Partner with Data Engineering and Platform teams to embed observability and governance capabilities into the enterprise data ecosystem
Define and operationalize the enterprise AI Governance framework and operating model
Establish governance structures, processes, and review mechanisms to oversee the safe and responsible use of AI across the company
Define AI governance roles, responsibilities, and decision-making processes across business and technology teams
Define policies, standards, and controls that enable the safe self-service use of AI tools and platforms by employees across the enterprise
Establish governance guardrails related to data privacy, identity and access management, and framework for AI agent validation.
Partner with Security, Infrastructure, Legal, and Compliance teams to ensure alignment with enterprise risk requirements
Define and operationalize the company’s Responsible AI and AI Ethics policies
Establish governance processes for responsible AI reviews, risk assessments, and ethical evaluations
Partner closely with the AI Literacy team to integrate governance standards into enterprise AI training programs to improve organizational understanding of responsible AI usage, governance expectations, and AI risk awareness