Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand and Bengaluru metro increase competition, but senior niche governance role reduces density.
Requires finance-specific data governance and enterprise data strategy, so cross-industry transferability is limited.
Explicit 10+ years and mandatory finance data governance, architecture, and analytics experience make screening strict.
Define and execute Finance data strategy focused on AI, automation, advanced analytics, and transformation priorities.
Lead Finance data governance including policies, quality, stewardship, architecture, and enterprise data models ensuring trusted, AI-ready data.
Drive Finance data literacy programs and partner across Finance, IT, and business to ensure data adoption and measurable business value.
Typically 10+ years experience in Finance data strategy, governance, architecture, data quality, analytics, AI, or enterprise transformation.
Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or related discipline, or commensurate work experience.
Experience with data governance operating models, data stewardship, data quality management, and AI-ready data implementation.
Familiarity with tools and platforms such as SQL, Python, Cloud Data Platforms (Azure/AWS), Microsoft Power BI, and Databricks.
Experienced leader in Finance data strategy capable of aligning data priorities with enterprise transformation and AI initiatives.
Proven ability to establish data governance frameworks, accountability, and cross-functional collaboration in large organizations.
Strong background in managing scalable data products, standardized KPIs, data literacy programs, and influencing enterprise-wide data strategies.