Sr Director Data & AI Governance

Responsibilities

• Enterprise Data Governance Strategy & Operating Model
• 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
• Enterprise Metadata Management
• 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
• Data Quality & Data Observability
• 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
• Enterprise AI Governance Strategy & Operating Model
• 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
• Safe & Responsible Enterprise AI Adoption
• 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
• Responsible AI & AI Ethics
• Define and operationalize the company's Responsible AI and AI Ethics policies
• Establish governance processes for responsible AI reviews, risk assessments, and
• ethical evaluations
• AI Literacy & Organizational Enablement
• 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

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.
• Technical & Domain Expertise
• 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 iden

Benefits

Additional Information

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.

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