Head of Consumer Banking Data Products

The Head of Consumer Banking Data Product Management is responsible for defining and leading the strategy, roadmap, governance, and adoption of Consumer Banking data products that support customer experiences, business operations, risk management, decision-making, and AI-enabled capabilities.

This leader serves as the primary business-facing executive for Consumer Banking data products, partnering with Consumer Banking, Product, Digital, Technology, Architecture, Analytics, AI, and Enterprise Data teams to translate business priorities into scalable, trusted, and reusable data products that deliver measurable business value.

The role owns the Consumer Banking data product portfolio, product prioritization, value realization, adoption, and alignment with enterprise data strategy. The position does not own data engineering delivery, data platform operations, enterprise architecture, governance, reporting operations, or model development.

Key Responsibilities

Define and Execute Data Product Strategy

• Develop and maintain the Consumer Banking data product strategy and multi-year roadmap.
• Align investments to business growth, customer experience, operational efficiency, risk management, and enterprise modernization objectives.
• Identify opportunities to leverage data as a strategic asset across Consumer Banking.

Lead the Consumer Banking Data Product Portfolio

• Manage a portfolio of data products across customer, deposits, lending, payments, digital banking, servicing, fraud, risk, and operations domains.
• Prioritize investments based on business value, customer impact, regulatory requirements, and strategic importance.
• Establish clear ownership, accountability, lifecycle management, and success metrics for all strategic data products.

Partner with Business and Technology Leaders

• Act as a strategic advisor to Consumer Banking executives and business leaders.
• Translate business strategies and customer needs into data product requirements, roadmaps, and investment priorities.
• Build strong partnerships across Consumer Banking, Technology, Architecture, Analytics, AI, Risk, Operations, and Enterprise Data teams.

Drive Customer-Centric and AI-Ready Data Products

• Advance capabilities such as Customer 360, customer intelligence, personalization, journey analytics, and next-best-action solutions.
• Define requirements for real-time and event-driven data products supporting customer engagement, fraud detection, servicing automation, and operational intelligence.
• Ensure data products are designed to support AI, analytics, intelligent automation, and future digital capabilities.

Deliver Business Value and Adoption

• Define and monitor product adoption, utilization, business outcomes, financial impact, customer experience improvements, and productivity gains.
• Promote a culture focused on measurable value delivery, product thinking, and data-driven decision making.
• Communicate business outcomes and investment effectiveness to executive stakeholders.

Promote Enterprise Alignment and Reuse

• Partner with Enterprise Data, Architecture, Engineering, and Governance teams to drive consistency and interoperability across the data ecosystem.
• Champion reusable data assets, common business definitions, standardized KPIs, and shared data services.
• Support enterprise data modernization and data product operating model maturity.

Qualifications

Experience

• 12+ years of experience in Data Product Management, Data Strategy, Data & Analytics, Product Management, Digital Transformation, or related leadership roles.
• 8+ years of leadership experience driving complex enterprise initiatives and cross-functional teams.
• Significant experience within Consumer Banking, Financial Services, FinTech, or other regulated industries.
• Proven success delivering enterprise-scale data products and data-driven transformation programs.
• Demonstrated ability to influence senior executives and lead organizational change.

Business & Technical Expertise

Strong understanding of:

• Consumer Banking products and operations
• Deposits, lending, payments, and digital banking
• Customer experience, journey management, and marketing analytics
• Data product management and domain-driven ownership models
• Cloud-based data platforms and modern data architectures
• APIs, event-driven systems, and real-time data capabilities
• AI-ready data architectures, Customer 360, metadata, and data discovery solutions

Preferred:

• Lakehouse architectures
• Real-time analytics platforms
• Generative AI and Agentic AI ecosystems
• Digital personalization platforms
• Intelligent automation technologies

Leadership Competencies

• Exceptional executive presence and communication skills.
• Ability to influence without direct ownership.
• Strong stakeholder management and organizational alignment capabilities.
• Ability to translate complex data concepts into business outcomes.
• Strong commercial mindset and strategic thinking skills.

Education

• Bachelor's degree required.
• Master's degree or MBA preferred.
• Relevant Product Management, Data, Cloud, Agile, or Architecture certifications preferred.

Success Measures

Success will be measured by:

• Adoption and utilization of Consumer Banking data products
• Business value generated from data product investments
• Improvements in customer experience and engagement
• Increased reuse of trusted enterprise data assets
• Reduction of duplicated data solutions
• Enablement of AI and digital transformation initiatives
• Growth in self-service and real-time data capabilities
• Strong stakeholder satisfaction and enterprise alignment