Commercial Bank AI Product Manager

## Commercial Bank AI Product Manager Apply:
Office:
Charlotte, NC:
Full time:
Posted Today:
R0076544#
** Description
* **
* Summary:

** 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.  
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* Duties and Responsibilities:

** Product Ownership & Investment  
* 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.  User-Value-Led Product Definition  
* 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.  Integrated Portfolio View  
* 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  Success Definition & Measurement  
* 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.  Workflow-Embedded Adoption  
* 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.  Execution & Delivery
* Move from roadmap to execution: 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),…