Commercial Bank AI Product Manager

Huntington National Bank•Charlotte, NC

1d•Onsite

About The Position

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. The AI Product Manager is accountable for translating Commercial Banking’s highest-value opportunities into a clear, resourced, and executable roadmap that delivers measurable value to bankers and clients.

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
Previous experience building and leading high-performing teams
5+ years of product management experience, including direct ownership of AI, machine learning, or data-driven products from concept through launch.

Nice To Haves

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.
Demonstrated experience building or managing a product roadmap, writing business requirements, and defining measurable success criteria (KPIs, OKRs, or equivalent).

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.
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.
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.
Lead with user value: define the colleague or client benefit and the problem to be solved before selecting a capability, model, or vendor.
Use design thinking and direct engagement with relationship managers, service teams, and clients to validate needs, pain points, and workflow context before scoping solutions.
Translate validated needs into clear product requirements and acceptance criteria for cross-functional delivery teams.
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.
Define success before launch: establish baselines, target metrics, business outcomes, and attribution methodology in partnership with Finance and Analytics before development begins.
Ensure measurement goes beyond usage counts to tie adoption to real business outcomes – revenue, banker productivity, client experience, and risk/quality.
Report progress against the defined baseline and value case throughout the product lifecycle, adjusting scope when tracking falls short of plan.
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.
Continuously gather adoption and quality feedback post-launch and iterate on the product to close usage and value gaps.
Convert prioritized concepts into resourced, sequenced delivery plans with clear owners, milestones, and go-live dates.
Serve as product owner for one or more cross-functional pods (engineers, data scientists, analysts), prioritizing the backlog and ensuring iterative, quality delivery each sprint/quarter.
Navigate Huntington’s AI governance lifecycle (business value definition, solution assessment, governance/risk review, contracting, and implementation) to keep initiatives on track and in compliance.