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Senior, finance-focused data governance role with strong employer brand creates moderate competition.
Requires finance domain and enterprise data governance expertise, limiting cross-industry transferability.
Explicit 10+ years plus specialized finance data governance, architecture, and stewardship requirements make filters strict.
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Define and execute Finance data strategy focused on enabling AI, automation, and advanced analytics aligned with enterprise transformation priorities.
Lead Finance data governance, quality, stewardship, standards, and architecture to ensure trusted, AI-ready data supporting decision-making and measurable business value.
Drive enterprise collaboration across Finance, IT, and business to establish governance forums, data policies, and data literacy programs for global Finance users.
Typically requires 10+ years experience in Finance data strategy, data governance, data quality, analytics, AI, automation, or enterprise data transformation.
Four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or related discipline, or equivalent competence.
Experience partnering across Finance, IT, and business functions to implement data governance frameworks, standards, and operating models.
Work Experience Required: Typically 10+ years; Notice Period: Not explicitly mentioned.
Experienced leader in Finance data strategy with strong expertise in data governance frameworks and AI/advanced analytics enablement.
Operates cross-functionally partnering with multiple stakeholders including IT, business, and enterprise data teams to drive data strategy and governance adoption.
Skilled in establishing data stewardship, policies, and scalable data architectures aligned to business transformation and AI integration goals.