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Tier-1 brand plus metro location and broad data/ML skillset increases candidate competition.
Role demands finance data governance and domain expertise, making background highly industry-specific.
Explicit 10+ years requirement and mandatory data governance/architecture expertise raises shortlisting strictness.
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Define and execute the Finance data strategy and roadmap aligned with enterprise transformation priorities.
Lead data governance, quality, stewardship, standards, and business data architecture for Finance data.
Partner with Finance, IT, and business leaders to ensure trusted, accessible, AI-ready data that accelerates decision-making and business value.
Typically requires 10+ years of work experience preferably in data architecture, strategy, governance, or analytics in Finance domain.
Graduate degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or related discipline, or equivalent work experience.
Experience with data governance frameworks, data architecture, and policies relevant to Finance.
Familiarity with cloud platforms and tools such as Azure services, AWS, Apache Spark, Python, R, SQL, and BI tools like Tableau.
Experienced leader capable of managing cross-functional partnerships among Finance, IT, and enterprise data teams.
Strong background in defining and governing enterprise-wide data strategies and operating models specifically for Finance data.
Skilled in driving adoption of data governance and quality frameworks to deliver measurable outcomes in finance data transformation initiatives.