Huntington National Bank

Product Owner - Enterprise Payments

Huntington National Bank

full-time

Posted on:

Origin:  • 🇺🇸 United States • Ohio

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Salary

💰 $77,000 - $154,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Azure

About the role

  • Drive sequencing, building, and evaluation of Features/solutions and deliver those solutions to customers for one to two product lines
  • Serve as subject matter expert for assigned product lines
  • Lead cross-functional teams to deliver measurable business value
  • Drive agile execution, data-driven decision making, and AI integration into product and delivery
  • Manage Team Backlogs, define Sprint Goals, and provide clarification for Development teams
  • Define and track delivery metrics (velocity, throughput, predictability, lead/cycle time, product health)
  • Use AI tools for delivery optimization and forecasting delivery risks
  • Ensure stakeholder engagement and manage impact assessments and prioritization
  • Coach and mentor peers and junior product owners
  • Ensure accurate capture of delivery data and validation of User Story Acceptance Criteria

Requirements

  • Bachelor’s Degree
  • 5+ years' experience in a Business Systems Analyst, Product Development, or Product Owner role
  • Strong experience working with cross functional teams using Agile Deliver frameworks and leading the development and launch of a new product
  • Strong experience with user-centered design and usability
  • Strong knowledge of regulatory requirements, bank policy, and Agile Delivery governance
  • Strong experience with retail or business financial services
  • Proven experience as a Product Owner or similar role in an Agile environment
  • Strong understanding of agile frameworks and delivery metrics (velocity, predictability, lead/cycle time, throughput)
  • Excellent communication, collaboration, and stakeholder management skills
  • Ability to translate business needs into technical requirements
  • Familiarity with tools like Azure DevOps, or similar
  • Familiarity with AI/ML technologies and practical applications in products, customer engagement, or delivery optimization