Head of Decisioning Analytics & Optimization

Citizens Bank

$120K — $150K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-12+ years in decisioning, marketing or customer analytics, ideally in regulated environments
  • Proficiency with Pega Customer Decision Hub and Adaptive Decisioning
  • Proven track record in turning analytics into business growth and enhanced customer outcomes
  • Experience with experimentation, optimization, and measuring performance
  • Ability to collaborate with various stakeholders and influence partners
  • Practical experience using analytics tools and managing data

Responsibilities

  • Own the framework for measuring value generated by Next-Best-Actions (NBA)
  • Lead the monitoring and optimization of Adaptive Decisioning (ADM) performance
  • Translate model-driven outcomes into understandable business rationale
  • Oversee governance of decisioning inputs and compliance with regulations
  • Analyze NBA performance, ensuring balance between business and customer experience
  • Identify gaps in NBA opportunities and support prioritization based on data
  • Develop and maintain the Decisioning Analytics roadmap,

Benefits

  • Hybrid work schedule with 4 days on-site and 1 day remote
  • Opportunity to build and lead a high-performing team
  • Access to mentorship and development within decisioning and analytics
  • Culture emphasizing accountability, transparency, and measurable impact
Full Job Description
Job Description

The Head of Decisioning Analytics & Optimization is an analytics leader responsible for the performance, measurement, and governance of Citizens' enterprise decisioning ecosystem, powered by Pega Customer Decision Hub (CDH).

This role leads a centralized Decisioning Analytics team accountable for measuring business value, optimizing Adaptive Decisioning (ADM), ensuring transparency and compliance, and continuously improving Next-Best-Action (NBA) outcomes across channels and lines of business. The role partners closely with Marketing, Product, Enterprise Data & Analytics, Technology, Risk, and Compliance teams to ensure decisioning capabilities deliver measurable impact for both customers and the bank.
Key Responsibilities
  • Own the framework for measuring customer and financial value generated by NBAs, partnering with Marketing Measurement and ED&A to ensure consistent, credible outcomes reporting and insights.
  • Lead monitoring and optimization of Adaptive Decisioning (ADM) performance, establishing standards across platform, channel, action, and treatment levels.
  • Ensure decisioning transparency by translating model-driven outcomes into clear business rationale, including why decisions were made and how constraints and values influenced outcomes.
  • Oversee governance of decisioning inputs including predictive values, business value frameworks, constraints, contact policies, and prioritization logic.
  • Coordinate with Risk, Compliance, Legal, and Model Risk Management to ensure decisioning analytics adhere to governance and regulatory expectations.
  • Lead analysis of NBA performance, contact policies, and message placement to balance business outcomes, customer experience, and channel constraints.
  • Identify NBA gaps and opportunities and support data-driven prioritization across customer segments, products, lifecycle stages, and channels.
  • Provide analytics leadership to support expansion of NBAs into new channels and journeys, including success metrics and test-and-learn approaches.
  • Develop and maintain the Decisioning Analytics roadmap, including tooling, dashboards, governance routines, and operating cadence.
People Leadership
  • Build and lead a high-performing Decisioning Analytics team.
  • Mentor and develop team members across decisioning science, analytics rigor, and business storytelling.
  • Foster a culture of accountability, transparency, and measurable impact.
Required Qualifications
  • 8-12+ years of experience in decisioning analytics, marketing analytics, customer analytics, or optimization, preferably in a regulated environment.
  • Experience with Pega Customer Decision Hub and Adaptive Decisioning.
  • Demonstrated leadership translating analytics into business and customer outcomes.
  • Experience with experimentation, optimization, and performance measurement.
  • Strong cross-functional partnership and stakeholder influence skills.
  • Hands-on experience with analytics tools and data.
Preferred Qualifications
  • Familiarity with model governance and regulatory expectations.
  • Experience with contact policy management and multi-channel decisioning.
  • Strong communication skills and executive presence.

Hours & Work Schedule
  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on-site, 1 day remote

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