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Tier-1 brand, common Data Scientist title, metro location, and broad skill requirements increase competition.
Finance-specific data governance and architecture require domain expertise, reducing cross-industry transferability.
Explicit 10+ years requirement plus mandatory finance data governance and technical skills makes shortlisting strict.
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Define and execute Finance data strategy to establish trusted enterprise data foundation enabling AI, automation, and advanced analytics.
Lead data governance, quality, stewardship, standards, and business data architecture for scalable data products and standardized KPIs.
Partner with Finance, IT, and business leaders to ensure AI-ready data and drive data literacy programs for finance users.
Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or related discipline or equivalent work experience.
10+ years work experience in data architecture, strategy, governance, analytics, or related finance domain initiatives.
Experience with data governance, data policies, enterprise data models, and AI/automation enablement.
Not explicitly mentioned: mandatory notice period or location constraints.
Experienced in leading Finance-wide data strategy and cross-functional data governance involving senior IT, Finance, and business stakeholders.
Strong background in establishing data architecture, governance frameworks, and driving adoption of data and AI capabilities in finance.
Skilled in collaborating with IT, BI teams, and business leaders to align data priorities and influence enterprise data strategy.