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Tier-1 employer plus broad data/AI skillset and managerial title create moderate applicant competition.
Strong financial domain, governance and secure-data requirements increase sensitivity to industry-specific background.
Explicit 8+ years, required Snowflake/SQL/Python, financial domain and compliance make shortlisting stringent.
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Lead evolution and operational management of the Enterprise Data Platform to enable scalable, secure, and high-value data products supporting Investor Services and Capital Analytics.
Drive rapid delivery of analytics and AI capabilities using modern engineering practices and integration of emerging technologies.
Establish and enforce enterprise-grade data governance, security, and operational controls ensuring compliance, quality, and risk mitigation.
8+ years of relevant experience with an Engineering or BS degree.
Strong expertise in data modeling, transformation, and presentation including SQL, Python scripting, and Snowflake Openflow.
Experience with cloud platforms (AWS, Azure, Snowflake) and BI/Analytics tools (e.g., Power BI, Tableau).
Financial domain knowledge including accounting principles and secure handling of financial data.
Experienced technical manager capable of overseeing end-to-end project delivery and client satisfaction in complex regulated environments.
Strategic operator focused on continuous platform evolution, governance, risk management, and operational excellence.
Skilled at coordinating cross-functional teams to deliver scalable data products integrating AI/ML technologies with strong stakeholder communication.