Data & AI Product Strategy Leader- Commercial Banking

Data & AI Product Strategy Leader – Commercial Banking

Citizens is in the midst of a bold, enterprise-wide transformation—leveraging the power of data and AI to reimagine how we serve our customers, operate our business, and deliver value. This transformation spans multiple domains and requires a coordinated, strategic approach to integrating data across the organization.

Strategic Coordination & Program Enablement:

• Design and implement horizontal routines and governance structures that support cross‑functional collaboration.
• Ensure strategic alignment between data product initiatives and enterprise transformation goals.
• Serve as a liaison between product teams, program leadership, and business stakeholders to drive integrated planning and execution.
• Champion a product mindset, focusing teams on solving customer problems and delivering value, not just executing requirements.

Agile Delivery & Stakeholder Engagement:

• Operate within a complex "scrum of scrums" structure, coordinating across multiple agile pods and delivery teams to achieve program milestones.
• Manage conflicting priorities and dependencies, ensuring transparency, accountability, and timely delivery.
• Build and sustain strong partnerships with business, technology, and analytics stakeholders.
• Communicate effectively across all levels of the organization, translating technical and strategic concepts into actionable insights.

Budgeting & Financial Oversight:

• Support financial planning, budgeting, and resource allocation for data product initiatives.
• Coordinate with delivery and domain leaders to develop and execute staffing plans that align with strategic priorities and program needs.
• Act as a consultative partner to senior leaders and stakeholders, helping shape resource strategies and investment decisions through data‑driven insights.

User‑Centric Product Design:

• Translate business requirements into actionable product roadmaps, prioritizing features that drive revenue, efficiency, and client satisfaction.
• Lead the design and delivery of data products that provide bankers with a "single pane of glass" experience—centralizing insights, analytics, and next‑best‑action recommendations within business workflows.
• Champion intuitive user experiences, ensuring complex AI outputs are accessible, explainable, and actionable for bankers.

AI & Data Enablement:

• Guide the development of AI‑powered analytics engines for sales processes.
• Partner with data engineering, architecture, ML‑Ops, and technology teams to build robust data infrastructure, including business layer, data pipelines, data controls, and data needed for training ML solutions and scalable model deployment.

Continuous Improvement & Innovation:

• Define and track key performance indicators such as banker adoption, revenue impact, client engagement, and operational efficiency.
• Gather user feedback, conduct A/B testing, and leverage analytics to refine product features and maximize business value.
• Stay abreast of emerging AI, data, and fintech trends, proactively identifying opportunities to enhance the AI Banker platform and maintain competitive advantage.
• Foster a culture of experimentation and responsible innovation, ensuring adherence to ethics, privacy, model risks, and other regulatory needs while balancing rapid iteration.

• Strong understanding of data technologies and platforms such as Salesforce, Cloud/Data Engineering, Master Data Management, B2B / Company Databases.
• Proven experience leading large, complex transformation programs that integrate Data & AI/ML for driving business process change.
• Demonstrated ability to lead without direct reports, influence across organizational boundaries, and manage through ambiguity.
• Deep understanding of agile delivery models, including scrum of scrums and pod‑based team structures.
• Exceptional communication, relationship‑building, and stakeholder management skills.
• Prior experience in Financial Services or Management Consulting.

• Bachelor’s degree required; advanced degree or relevant certifications (e.g., in product management, strategy, or analytics) are a plus.

• Hours per Week: 40
• Work…