Director Finance AI & Data Governance

Intuitive; Sunnyvale (CA); On-site; USD 260,000 - 380,000; Full time

Job summary

Intuitive seeks a Director of Finance AI and Data Governance to lead the finance-wide AI transformation by building trusted data foundations, governed semantic layers, and scalable AI capabilities that improve decision-making, productivity, controls, and business partnership.

The role owns Finance data governance, semantic modeling, AI agent development standards, use-case prioritization, and value delivery across financial and operational domains, establishing a central team of AI and data

Responsibilities

• Own the Finance AI and data transformation roadmap in support of the Finance team vision.
• Translate Finance strategy into a prioritized portfolio of AI and data initiatives that accelerate planning and reporting cycles.
• Establish Finance data governance policies to ensure a single source of truth and high-quality data foundations.
• Lead governance forums that approve definitions, business rules, quality standards, lineage expectations, security, and access controls.
• Own the Finance semantic layer and certified metric framework, standardizing definitions and calculation logic across reporting, analytics, planning, and AI agents.
• Establish certification, release, version control, and change-management processes for the Finance semantic layer.
• Define the playbook for Finance agents, including grounding, orchestration, evaluation, testing, deployment, and monitoring.
• Own the operating model for democratized agent development and ensure governed data supports AI scaling within Finance.
• Establish accuracy thresholds, human oversight, risk controls, and production support expectations.
• Lead intake and prioritization across Finance AI and Data initiatives, with capacity allocation and portfolio reviews.
• Lead the operating model for Finance AI and data delivery by setting standards and enabling teams.
• Build, lead, and develop a central Finance AI and Data Governance team with talent strategy and delivery expectations.
• Partner with IT, Enterprise AI and Data, Security, and Finance leadership to align architecture and investment priorities.
• Build a Finance AI community of practice with reusable playbooks to scale AI proficiency across the finance organization.
• Partner with functional leaders to leverage AI to improve day-to-day work and transform processes.
• Measure adoption, productivity, quality, value realization, and risk posture across the AI and data portfolio.
• Serve as a trusted advisor to the Finance organization and enterprise partners, translating portfolio outcomes and communicating progress and risks.

Job description

Job Description

Primary Function of Position

The Director, Finance AI and Data Governance will lead Finance-wide AI transformation by building trusted data foundations, governed semantic layers, and scalable AI capabilities that improve decision-making, productivity, controls, and business partnership. This leader will define and execute the Finance AI strategy, operating model, governance framework, and value-realization approach in close partnership with Finance leadership, Enterprise AI and Data, IT, and other enterprise partners.

The role owns Finance data governance, semantic modeling, AI agent development and design standards, use case prioritization, adoption, and measurable value delivery across financial and operational domains. This leader will establish and lead a central team of AI and data experts that shapes the future of Finance through governed, scalable, AI-driven transformation.

Roles and Responsibilities

• Own the Finance AI and data transformation roadmap in support of the Finance team vision.

• Translate Finance strategy into a prioritized portfolio of AI and data initiatives that accelerate planning and reporting cycles, improve forecast accuracy, reduce manual work, strengthen controls, and enhance decision support.

• Establish Finance data governance policies in partnership with Enterprise AI and Data to ensure a single source of truth, high-quality data foundations, and scalable capabilities that support business needs and future growth.

• Lead governance forums that approve definitions, business rules, quality standards, lineage expectations, security, and access controls.

• Own the Finance semantic layer and certified metric framework, standardizing definitions and calculation logic across reporting, analytics, planning, and AI agents.

• Establish certification, release, version control, and change-management processes for the Finance semantic layer.

• Define the playbook for Finance agents, including grounding, orchestration, evaluation, testing, deployment, and monitoring.

• Own the operating model for democratized agent development and ensure approved semantic models and governed data are developed to support scaling AI within Finance.

• Establish accuracy thresholds, human oversight, risk controls, and production support expectations.

• Lead the intake and prioritization process across Finance AI and Data initiatives, including capacity allocation and recurring portfolio reviews with Finance leadership.

• Lead the operating model for Finance AI and data delivery by setting standards, enabling functional teams, managing portfolio trade-offs, and ensuring central capabilities are adopted consistently across Finance.

• Build, lead, and develop a central Finance AI and Data Governance team, including talent strategy, operating cadence, delivery expectations, and collaboration norms with functional Finance teams.

• Partner with IT, Enterprise AI and Data, Security, and Finance leadership to align architecture, responsible AI practices, investment priorities, implementation roadmaps, and executive governance.

• Build a Finance AI community of practice, champion network, role-based learning plan, and reusable playbooks to scale AI proficiency across the finance organization.

• Partner with functional leaders to leverage AI to improve day-to-day work, and transform business processes.

• Measure adoption, productivity, quality, value realization, and risk posture across the AI and data portfolio.

• Serve as a trusted advisor to the Finance organization and enterprise partners. Translate the portfolio into measurable outcomes, communicate progress and risks to governance forums, and ensure investment decisions remain aligned to Finance strategy and enterprise architecture.