The Huntington National Bank
Commercial Bank AI Product Manager
Charlotte, Mecklenburg County · Senior
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About the role
- Remote roles will also have the opportunity to come together in our offices for moments that matter.
Responsibilities
- Own end-to-end accountability for the broader product plan, stakeholder messaging, and investment case for assigned AI initiatives - not just the backlog or delivery schedule.
- Serve as the credible, single point of accountability that segment leaders, technology partners, and executive sponsors can turn to for status, trade-offs, and outcomes.
- Use design thinking and direct engagement with relationship managers, service teams, and clients to validate needs, pain points, and workflow context before scoping solutions.
- Maintain one integrated view across initiatives, segments, data readiness, cross-functional dependencies, and adoption.
- Partner across Commercial, Consumer & Regional Banking, Payments, Risk, and Technology Innovation to align priorities, sequencing, and shared data foundations (including ongoing CRM/Salesforce migration work).
- Maintain a current, transparent roadmap and dependency map that leadership can use to make sequencing and resourcing decisions
- Build within workflows: design and deliver capabilities that meet colleagues where they already work (e.g., Salesforce, Copilot, core banking systems) rather than requiring new tools or habits.
- Partner with HR, segment leaders, and change management to build role-specific training, manager reinforcement, and adoption reporting for each launch.
- The AI Product Manager drives the planning, prioritization, and delivery of AI and data-enabled products that advance Commercial Banking's sales enablement and service transformation agenda.
- This role owns the product plan for one or more priority AI initiatives end-to-end - from problem definition and business case through build, governance, launch, and measured adoption - partnering closely with engineering, data science, segment risk, compliance, and the central Enterprise Data & AI Strategy (EDSA) and Technology Innovation functions.
Requirements
- Bachelor's degree in Business, Finance, Computer Science, Data/Analytics, or a related field.
- 7+ years of Product Management or Digital project delivery experience in Consumer or Business and Commercial Banking
Nice to have
- Experience in commercial banking, corporate banking, or another regulated financial services environment, including familiarity with credit, treasury, or relationship-management workflows.
- Experience with generative AI/agentic AI products, CRM platforms (e.g., Salesforce, including Financial Services Cloud), and enterprise data platforms.
- Familiarity with model risk management, AI governance, and regulatory considerations (e.g., fair lending, data privacy) within banking.
- Track record partnering with Risk, Compliance, Legal, and Finance to move AI initiatives through formal governance and funding approval processes.
- Strong executive communication skills, with experience presenting business cases, roadmaps, and value narratives to senior leadership and steering committees.
- Experience working in an Agile/Scrum delivery model as a product owner or product manager for a cross-functional team of engineers, data scientists, and analysts.
- Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay)
- Our Approach to Office Workplace Type
Benefits
- Build and defend the business case (cost, benefit, PPNR/revenue impact, and risk) required to secure and sustain funding through Huntington's AI governance and prioritization process.
- Lead with user value: define the colleague or client benefit and the problem to be solved before selecting a capability, model, or vendor.
This listing is sourced directly from The Huntington National Bank's careers page and normalized into a canonical job model.