Sr Director Data & AI Governance
Listed on 2026-06-03
-
IT/Tech
Data Security, Data Analyst
- Ways of Working:
Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader. - Employee Type:
Employee - Min. Salary Region 1: 277600 USD
- Global Job Level (HCM):
Management 6, Sr Dir (18) - Min. Salary Region 2: 236000 USD
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive
. As a global leader in robotic-assisted surgery and minimally invasive care
, our technologies—like the da Vinci surgical system and Ion
—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare
, you’ll find your purpose here.
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.
Key ResponsibilitiesEnterprise 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…
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