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Strong Tier-1 brand, metro location, and broad data governance/Python/Tableau requirements elevate competition.
Requires regulated financial services and internal audit expertise, reducing cross-industry transferability.
Explicit 10+ years, leadership expectation, and mandatory data governance, Python, Tableau skills make filters stringent.
Develop and execute a strategy for technology-driven data analytics to improve business processes, risk management, and internal audit functions.
Lead design and implementation of Python-based tools for data extraction, transformation, and automation.
Create Tableau dashboards and enforce data quality and governance standards ensuring regulatory and internal audit compliance.
Bachelor's degree in Computer Science, IT, Finance, Statistics, or related field.
Minimum 10 years of progressive experience in technology, data analytics, or internal audit within a regulated industry.
Proven leadership or managerial experience.
Deep knowledge of metrics production, internal audit processes, data governance, and regulatory environment related to financial institutions or similar enterprises.
Experienced in managing large datasets and enterprise data warehousing solutions with strong Python and Tableau skills.
Strategic leader capable of collaborating cross-functionally including Technology, Internal Audit, Compliance, and business units.
Demonstrated ability in critical thinking to solve complex business and regulatory challenges through data-driven insights.