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Head of Consumer Banking Data Products

Citizens Financial Group, Inc.
USA
Full-time
Director · 12+ years experience
Onsite
Discovered Today
Communication

Full Job Posting

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.

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
  • 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
  • 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.
  • Success Measures
  • 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
  • Hours & Work Schedule
  • Hours per Week: 40
  • Work Schedule: Monday-Friday
  • Hybrid: 4 days per week on-site, 1 day remote
  • Pay Transparency
  • We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

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

Hours & Work Schedule

Hours per Week: 40

Work Schedule: Monday-Friday

Hybrid: 4 days per week on-site, 1 day remote

Pay Transparency

The salary range for this position is $170,000 - $226,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

Preferred Qualifications

  • Master's degree or MBA preferred.
  • Relevant Product Management, Data, Cloud, Agile, or Architecture certifications preferred.
  • The salary range for this position is $170,000 - $226,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

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