Analytics Product Owner: Onsite

Huntington National Bank•New York, NY

2d•Onsite

About The Position

The Analytics Product Owner plays a strategic leadership role in identifying and advancing opportunities to use data, analytics, and AI to improve customer experiences, business performance, and operational efficiency. This role sits at the intersection of business strategy, product, and enterprise analytics, partnering closely with business leaders and the Enterprise Data & Analytics (ED&A) team to shape a prioritized portfolio of high-value initiatives. At Huntington, this is an opportunity to help shape how a large regional bank applies modern data and AI capabilities at scale—across a broad customer base, diverse lines of business, and an expanded footprint—to solve meaningful business problems and improve customer outcomes. With nearly 1,400 branches across 21 states, Huntington offers the resources, visibility, and reach to drive measurable impact for millions of customers.

Requirements

Bachelor’s degree
7+ years of experience in product management, analytics, strategy, or delivery roles within banking, financial services, or another regulated industry

Nice To Haves

Experience translating business needs into prioritized roadmaps, requirements, or actionable work plans
Experience identifying opportunities to apply data, analytics, or AI to improve customer, business, or operational outcomes
Strong communication and influencing skills, with experience presenting to senior leaders and cross-functional stakeholders
Experience as an Analytics Product Owner, Product Owner, or business lead for analytics, data, or AI initiatives
Strong understanding of data and analytics concepts, including KPIs, measurement frameworks, experimentation, and value realization
Experience building business cases and tracking impact across revenue, cost, efficiency, and customer outcomes
Familiarity with practical applications of AI and machine learning to improve business processes and customer experiences
Experience working in agile environments with backlog prioritization and cross-functional delivery teams
Proven ability to influence stakeholders and drive adoption across business and technical teams
Experience in consumer banking, business banking, digital channels, customer experience, or transformation initiatives
Advanced degree or relevant certifications in business, analytics, data, or related disciplines

Responsibilities

Partner across business, product, and Enterprise Data & Analytics (ED&A) teams to identify, prioritize, and deliver high-value analytics, data, and AI initiatives that improve customer, business, and operational outcomes.
Provide thought leadership on how data, analytics, and AI can be used to: Improve customer experiences and business outcomes Increase operational efficiency and simplify business processes
Translate business priorities into a clear, prioritized analytics roadmap and actionable work for the Enterprise Data & Analytics (ED&A) team.
Prepare and deliver executive-level updates on: Strategic opportunities and business priorities Roadmap priorities, business cases, and expected impact Execution progress across business and ED&A, including risks, issues, and blockers Realized impact across revenue, cost, efficiency, and customer outcomes
Drive alignment, momentum, and accountability across cross-functional stakeholders to ensure initiatives progress and deliver measurable value.
Own value realization and adoption across the analytics roadmap to ensure delivered solutions achieve intended outcomes.
Lead governance routines that support prioritization, decision-making, risk management, and successful delivery across the analytics portfolio.
Define and own the measurement framework, including OKRs, KPIs, and success metrics.
Monitor and communicate progress through regular business reviews using defined goals, milestones, and performance measures.
Partner with business stakeholders to: Drive adoption and enable behavior change Identify new opportunities where analytics and AI can create value