Director Finance AI & Data Governance

Job description

Job 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…
• 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…
• 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.

Job requirements

• Minimum of 12 years of progressive leadership experience across Finance, FP&A, data and analytics, digital transformation, AI, data governance or related disciplines.
• Demonstrated success leading cross-functional enterprise programs and influencing senior stakeholders.
• Strong understanding of Finance processes, controls, performance management, and financial and operational metrics.
• Experience establishing data governance, semantic models, analytics products, or AI-enabled solutions.
• Ability to translate business strategy into an executable portfolio, operating model, and measurable outcomes.
• Experience leading organizational change, adoption, and capability building in Finance.
• Enterprise thinker who can connect data, technology, controls, and Finance outcomes.
• Product-oriented leader who prioritizes user value and scalable capabilities over one-off solutions.