Head of Consumer Banking Data Products
About The Position
The Head of Consumer Banking Data Product Management defines and leads the strategy, roadmap, governance, and adoption of Consumer Banking data products. These products support customer experiences, business operations, risk management, decision-making, and AI-enabled capabilities. The role is the primary business-facing executive for Consumer Banking data products, partnering with business, product, digital, technology, architecture, analytics, AI, and enterprise data teams to turn business priorities into trusted, scalable, reusable products that deliver measurable value. The position owns the Consumer Banking data product portfolio, prioritization, value realization, adoption, and alignment with enterprise data strategy. It does not own data engineering delivery, data platform operations, enterprise architecture, governance, reporting operations, or model development. Success is measured by data product adoption and utilization, business value, improvements in customer experience and engagement, reuse of trusted enterprise data, reduced duplication, enablement of AI and digital transformation, growth in self-service and real-time data capabilities, and stakeholder satisfaction and enterprise alignment. The position works 40 hours per week, Monday through Friday, with four days onsite and one day remote. The salary range is $170,000–$226,000 per year, with an opportunity to earn an annual discretionary bonus.
Requirements
- 12 or more years of experience in Data Product Management, Data Strategy, Data & Analytics, Product Management, Digital Transformation, or related leadership roles.
- 8 or more years of leadership experience driving complex enterprise initiatives and cross-functional teams.
- Significant experience in Consumer Banking, Financial Services, FinTech, or another regulated industry.
- Proven success delivering enterprise-scale data products and data-driven transformation programs.
- Demonstrated ability to influence senior executives and lead organizational change.
- Strong understanding of Consumer Banking products and operations, including deposits, lending, payments, and digital banking.
- Strong understanding of customer experience, journey management, and marketing analytics.
- Strong understanding of data product management and domain-driven ownership models.
- Strong understanding of cloud-based data platforms and modern data architectures.
- Strong understanding of APIs, event-driven systems, and real-time data capabilities.
- Strong understanding of AI-ready data architectures, Customer 360, metadata, and data discovery solutions.
- 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.
- Bachelor's degree required.
Nice To Haves
- Experience with lakehouse architectures.
- Experience with real-time analytics platforms.
- Experience with Generative AI and Agentic AI ecosystems.
- Experience with digital personalization platforms.
- Experience with intelligent automation technologies.
- Master's degree or MBA.
- Relevant Product Management, Data, Cloud, Agile, or Architecture certifications.
Responsibilities
- Define and maintain the Consumer Banking data product strategy and multi-year roadmap.
- Align investments with business growth, customer experience, operational efficiency, risk management, and enterprise modernization objectives.
- Identify opportunities to use data as a strategic asset across Consumer Banking.
- Manage a portfolio of data products spanning customer, deposits, lending, payments, digital banking, servicing, fraud, risk, and operations.
- Prioritize investments according to business value, customer impact, regulatory requirements, and strategic importance.
- Establish ownership, accountability, lifecycle management, and success metrics for strategic data products.
- Advise Consumer Banking executives and business leaders, translating business strategies and customer needs into data product requirements, roadmaps, and investment priorities.
- Build partnerships across Consumer Banking, Technology, Architecture, Analytics, AI, Risk, Operations, and Enterprise Data teams.
- Advance Customer 360, customer intelligence, personalization, journey analytics, and next-best-action capabilities.
- Define requirements for real-time and event-driven data products supporting customer engagement, fraud detection, servicing automation, and operational intelligence.
- Ensure data products support AI, analytics, intelligent automation, and future digital capabilities.
- Define and monitor adoption, utilization, business outcomes, financial impact, customer experience improvements, and productivity gains.
- Promote measurable value delivery, product thinking, and data-driven decision-making, and communicate outcomes and investment effectiveness to executives.
- Partner with Enterprise Data, Architecture, Engineering, and Governance teams to promote 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.
Benefits
- Competitive pay and opportunity to earn an annual discretionary bonus.
- Comprehensive medical coverage.
- Dental coverage.
- Vision coverage.
- Retirement benefits.
- Maternity and paternity leave.
- Flexible work arrangements.
- Education reimbursement.
- Wellness programs.
- Paid time off policy exceeding mandatory paid sick or paid time-away policies in every U.S. local and state jurisdiction.
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What This Job Offers
Job Type
Full-time
Career Level
Executive
