Vice President - Business Analytics

Wealth Intelligence | Analytics & Information Management (AIM) | Bengaluru, India Experience: 12–18 Years | Team: 5–8 Analysts | Track: Business Analytics & Strategic Intelligence The Mission At Citi Wealth, managing a balance sheet is both a science and a commercial art. As Analytics Lead for Deposits, Lending & Balance Sheet Management, you will own the analytical engine powering executive decisions across global Wealth product lines and distribution channels. Positioned at the intersection of commercial strategy, data product architecture, and quantitative storytelling, you will lead a high-performing squad of 5–8 analysts. Your mandate: transform vast, complex banking data into high-octane consumption layers, intuitive self-service BI engines, and high-impact strategic deep dives that decode capital flows, balance dynamics, and revenue drivers. If you bring top-tier management consulting rigour or elite banking analytics leadership—combining commercial instinct, executive presence, and modern data engineering craft—this is your platform to shape the future of Global Wealth Intelligence. What You Will Drive (Your Mandate) Shape Commercial Strategy: Partner as a trusted advisor to Global Product Heads, CFOs, and Channel Executives. Translate multi-billion-dollar business questions into structured analytical hypotheses, pricing insights, and commercial growth levers. Architect the Analytical Consumption Layer: Collaborate with Data Product Owners and Engineering squads to design robust semantic layers and optimized data marts that make complex Wealth data instantly queryable and reliable. Lead Strategic Diagnostic Deep Dives: Spearhead investigative analytics into net new money (NNM), deposit elasticity, liquidity migration, loan drawdowns, and client attrition triggers to drive actionable balance sheet interventions. Democratize Business Intelligence: Modernize consumption by rolling out executive cockpit dashboards, automated self-service analytics, and proactive anomaly alert frameworks. Champion Engineering & Data Hygiene: Establish a culture of automation-first delivery, robust PySpark/Python data pipelines, audit-grade data quality controls, and zero-defect release standards. Lead & Multiply Talent: Mentor, inspire, and grow a team of 5–8 analysts into high-impact problem solvers with an owner mindset. What Success Looks Like (Year 1 Blueprint) Consumption Layer Live: Delivered the foundational analytical data layer for Deposits and Lending, dramatically accelerating time-to-insight for downstream analytics. Flagship BI Ecosystem: Rolled out self-service BI suites and automated intelligence cockpits adopted daily by senior Wealth leaders. Pivotal Commercial Wins: Authored 3+ high-impact strategic deep-dives that directly influenced balance sheet optimization, pricing, or retention strategy. Autonomous Pipeline: Reduced manual reporting touchpoints by >50% via PySpark/Python automation and continuous reconciliation frameworks.