SVP, Consumer Bank Analytics

SVP, Consumer Bank Analytics

The SVP, Consumer Bank Analytics is responsible for leading the analytics data strategy and insight generation across the Consumer Bank. This role serves as a strategic partner to Finance & Treasury, Marketing & Customer Experience, Product, Operations and Technology, transforming customer, portfolio, pricing, digital, and market intelligence data into actionable strategies that drive growth, retention and customer experience.

The role oversees the end-to-end analytics ecosystem supporting the Consumer Bank, including customer acquisition, engagement, retention, portfolio growth, pricing strategy, customer journey analytics, product performance, data governance and enterprise data enablement initiatives. The position is accountable for developing fact-based narratives that influence business decisions, identifying growth opportunities through internal and external data assets, and ensuring the data foundation exists to support personalization, advanced analytics, regulatory reporting, and future AI capabilities.

This leader is expected to balance strategic leadership with analytical rigor, translating complex data into clear business recommendations while driving cross-functional alignment, operational excellence, and measurable business outcomes.

Consumer Bank Strategy & Executive Decision Support

• Serve as the senior analytics advisor to Consumer Bank leadership, providing insights and recommendations that inform strategic decisions across growth, retention, customer experience, pricing, portfolio management, and business performance.
• Develop executive-level narratives that connect customer behavior, market dynamics, product performance, and financial outcomes.
• Identify and quantify growth opportunities, business risks, and emerging customer trends through data-driven analysis.
• Establish key performance indicators and measurement frameworks that align analytics efforts to business objectives.
• Lead opportunity sizing, business case development, and performance measurement efforts that support strategic investment decisions and prioritization.

Marketing, Customer Experience & Customer Analytics

• Lead customer segmentation, behavioral, and engagement analytics to improve acquisition, onboarding, retention, and relationship growth.
• Advance attribution, customer-level measurement, and channel performance analytics capabilities to improve marketing investment decisions.
• Lead lifecycle analytics and customer engagement strategy, including always-on lifecycle programs, behavioral targeting, contact strategy optimization, personalization measurement, and performance evaluation of customer engagement initiatives.
• Analyze customer funding behavior, balance trends, product adoption patterns, engagement signals, and attrition risk to support customer growth and retention initiatives.

Finance, Treasury & Pricing Analytics

• Lead analytics supporting deposit pricing strategy, portfolio mix management, balance growth objectives, and overall Consumer Bank performance.
• Partner with Finance and Treasury teams to evaluate pricing actions, customer response, portfolio performance and funding objectives.
• Leverage internal customer data and external market intelligence to identify growth opportunities, optimize portfolio mix, evaluate pricing strategies, and improve share-of-wallet outcomes.

Data Strategy & Analytics Enablement

• Own the Consumer Bank analytics and data enablement roadmap, ensuring business priorities are supported by scalable data assets, measurement capabilities, and reporting solutions.
• Lead customer journey analytics and journey measurement initiatives, partnering across business and technology teams to define data requirements, improve journey visibility, and identify opportunities to enhance customer experiences and business outcomes.
• Manage relationships with external data and analytics partners supporting customer intelligence, wallet measurement, competitive benchmarking, market intelligence, optimization, and performance analytics.
• Partner with Technology, Data Engineering, and Enterprise Data teams to improve data accessibility, scalability, quality, governance, and readiness for advanced analytics, personalization, and AI-driven use cases.

Operations Analytics & Business Controls

• Partner with Operations leaders to analyze customer servicing interactions, call center performance, transaction activity, operational trends, and service outcomes to identify opportunities for improvement.
• Support operational risk management and control activities through analytical monitoring, reporting, and business performance measurement.
• Partner with Fraud Operations, Business Controls, and operational support teams to develop reporting, analytical capabilities, and monitoring processes that strengthen operational effectiveness and control execution.

Data Governance, Controls & Regulatory Support

• Oversee compliance with governance requirements for both standard repeatable processes and ad hoc…