Director, Data & AI Strategy, Governance – Enterprise Finance
Job Description:
• Lead Enterprise Finance’s strategy and governance capabilities to ensure Finance data is trusted, timely, audit-worthy, and AI-ready
• Drive the establishment and execution of a modern, well-governed Finance Data Hub anchored to audit worthy sources
• Define roles, responsibilities, ownership, and issue escalation to ensure effective data stewardship across Enterprise Finance
• Monitor and enforce data quality thresholds with clear remediation processes across domains
• Establish and enforce metadata standards and cataloging practices across unified data environments and marts
• Maintain access controls, security policies, compliance, and audit trails to support regulatory adherence and defensible finance reporting
• Manage and govern migration roadmaps prioritized by business demand and organizational strategy
• Define Enterprise Finance data-product strategy with clear definitions, boundaries, and alignment to business value
• Partner to build and operationalize curated, domain-specific data products within a unified data environment
• Ensure uniform representation of core business concepts across domains to prevent duplication and inconsistencies
• Align product design with cloud platform capabilities, balancing performance, cost, and usability
• Serve as a design authority to safeguard consistency, strategic alignment, and scalability through governance and architecture guardrails
• Drive adoption of curated products by enabling business teams, measuring usage, and identifying opportunities for incremental value creation
• Establish controls for model risk, bias, explainability, and human-in-the-loop oversight to support defensible outcomes
• Govern AI data usage, validation, and lifecycle management aligned to privacy, security, and regulatory standards
• Monitor AI performance, drift, and business impact through continuous measurement, auditability, and remediation practices
• Build and run governance routines (e.g., intake, prioritization, escalation, and standards forums) that accelerate delivery of trusted finance data and AI enablement
• Lead a team aligned to the org model to execute strategy, controls, and adoption at scale
• Partner closely with other Reporting & Analytics Strategy leaders to ensure governance accelerates (not blocks) the broader Finance outcomes.
Requirements:
• 8+ years of experience in data strategy, data governance, data product management, analytics enablement, and/or AI governance in a complex enterprise environment
• 3+ years of experience leading teams and/or major cross-functional programs with senior stakeholders
• Demonstrated ability to define and operationalize data stewardship models, escalation paths, and enforceable standards
• Proven experience establishing and running data quality management (thresholds, monitoring, remediation processes)
• Experience implementing metadata standards and cataloging practices (and driving adoption)
• Working knowledge of responsible AI governance concepts including model risk controls, explainability, bias considerations, and human-in-the-loop oversight
• Strong communication, influence, and stakeholder management skills; ability to translate between Finance needs and technical execution.
Benefits:
• Affordable medical plan options
• 401(k) plan (including matching company contributions)
• Employee stock purchase plan
• No-cost programs for all colleagues including wellness screenings
• Tobacco cessation and weight management programs
• Confidential counseling
• Financial coaching
• Paid time off
• Flexible work schedules
• Family leave
• Dependent care resources
• Colleague assistance programs
• Tuition assistance
• Retiree medical access
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• Lead Enterprise Finance’s strategy and governance capabilities to ensure Finance data is trusted, timely, audit-worthy, and AI-ready
• Drive the establishment and execution of a modern, well-governed Finance Data Hub anchored to audit worthy sources
• Define roles, responsibilities, ownership, and issue escalation to ensure effective data stewardship across Enterprise Finance
• Monitor and enforce data quality thresholds with clear remediation processes across domains
• Establish and enforce metadata standards and cataloging practices across unified data environments and marts
• Maintain access controls, security policies, compliance, and audit trails to support regulatory adherence and defensible finance reporting
• Manage and govern migration roadmaps prioritized by business demand and organizational strategy
• Define Enterprise Finance data-product strategy with clear definitions, boundaries, and alignment to business value
• Partner to build and operationalize curated, domain-specific data products within a unified data environment
• Ensure uniform representation of core business concepts across domains to prevent duplication and inconsistencies
• Align product design with cloud platform capabilities, balancing performance, cost, and usability
• Serve as a design authority to safeguard consistency, strategic alignment, and scalability through governance and architecture guardrails
• Drive adoption of curated products by enabling business teams, measuring usage, and identifying opportunities for incremental value creation
• Establish controls for model risk, bias, explainability, and human-in-the-loop oversight to support defensible outcomes
• Govern AI data usage, validation, and lifecycle management aligned to privacy, security, and regulatory standards
• Monitor AI performance, drift, and business impact through continuous measurement, auditability, and remediation practices
• Build and run governance routines (e.g., intake, prioritization, escalation, and standards forums) that accelerate delivery of trusted finance data and AI enablement
• Lead a team aligned to the org model to execute strategy, controls, and adoption at scale
• Partner closely with other Reporting & Analytics Strategy leaders to ensure governance accelerates (not blocks) the broader Finance outcomes.
Requirements:
• 8+ years of experience in data strategy, data governance, data product management, analytics enablement, and/or AI governance in a complex enterprise environment
• 3+ years of experience leading teams and/or major cross-functional programs with senior stakeholders
• Demonstrated ability to define and operationalize data stewardship models, escalation paths, and enforceable standards
• Proven experience establishing and running data quality management (thresholds, monitoring, remediation processes)
• Experience implementing metadata standards and cataloging practices (and driving adoption)
• Working knowledge of responsible AI governance concepts including model risk controls, explainability, bias considerations, and human-in-the-loop oversight
• Strong communication, influence, and stakeholder management skills; ability to translate between Finance needs and technical execution.
Benefits:
• Affordable medical plan options
• 401(k) plan (including matching company contributions)
• Employee stock purchase plan
• No-cost programs for all colleagues including wellness screenings
• Tobacco cessation and weight management programs
• Confidential counseling
• Financial coaching
• Paid time off
• Flexible work schedules
• Family leave
• Dependent care resources
• Colleague assistance programs
• Tuition assistance
• Retiree medical access
Apply tot his job
Apply To this Job