Technical Product Owner Ohio

IPolarity LLC•Hanover Township, NJ

33d•$50 - $54•Onsite

About The Position

We are seeking an experienced Technical Product Owner / Business Analyst to support the modernization of legacy mainframe (green-screen) banking applications into modern React-based micro-frontend solutions integrated with enterprise APIs and middleware services. This role will lead discovery, requirements elaboration, product definition, and Agile delivery while serving as the primary liaison between Business, Product, Operations, Architecture, UX, Engineering, Automation, and AI teams. The ideal candidate has strong Banking and Financial Services experience, a proven track record in application modernization and digital transformation initiatives, and hands-on experience identifying and defining opportunities for AI, Agentic AI, Intelligent Automation, and Robotic Process Automation (RPA) solutions.

Requirements

8+ years of experience as a Technical Product Owner, Product Owner, Business Analyst, or Technical Business Analyst.
Proven experience leading discovery and requirements definition for application modernization or digital transformation initiatives.
5+ years of Banking and Financial Services experience.
Knowledge of deposits, Certificate of Deposit (CD), checking, savings, payments, servicing, or lending processes.
Strong experience translating business capabilities into epics, user stories, acceptance criteria, and implementation-ready requirements.
Expertise facilitating workshops, stakeholder interviews, backlog refinement, and requirements elaboration sessions.
Experience working with Product, Business, Operations, Architecture, UX, Development, QA, and UAT teams.
Strong understanding of Agile/Scrum delivery methodologies.
Experience with legacy application modernization, APIs, middleware integrations, and modern web applications.
Working knowledge of REST APIs, microservices, system integrations, and frontend application architectures.
Experience supporting UAT, defect management, release readiness, and production deployment.
Experience participating in AI, Intelligent Automation, RPA, or Generative AI initiatives.
Understanding of workflow automation, process optimization, and digital transformation practices.
Excellent facilitation, stakeholder management, communication, analytical, and problem-solving skills.

Nice To Haves

Experience modernizing Mainframe or green-screen applications.
Experience with React applications, Micro-Frontends, and enterprise design systems.
Experience with RPA platforms such as: UiPath, Automation Anywhere, Blue Prism, Microsoft Power Automate.
Experience with Agentic AI solutions, AI assistants, workflow agents, or case automation platforms.
Familiarity with Azure OpenAI, OpenAI, Anthropic Claude, Microsoft Copilot, or similar enterprise AI platforms.
Knowledge of RAG, Conversational AI, Intelligent Document Processing (IDP), and workflow automation technologies.
Familiarity with AI governance, Responsible AI principles, and enterprise security requirements.
Experience with Jira, Confluence, Azure DevOps, or similar Agile delivery tools.
Certified Scrum Product Owner (CSPO)
Professional Scrum Product Owner (PSPO)
PMI-ACP
SAFe Product Owner/Product Manager (POPM)
SAFe Agilist (SA)

Responsibilities

Lead discovery workshops, stakeholder interviews, and knowledge transfer sessions with Business, Product, Operations, Architecture, UX, and Engineering teams.
Analyze legacy applications, business processes, and operational workflows to define modernization strategies.
Translate business capabilities, epics, and requirements into implementation-ready user stories and acceptance criteria.
Identify functional, technical, integration, security, accessibility, and non-functional requirements.
Define MVP scope, release plans, estimates, and product roadmaps.
Identify opportunities for process optimization through AI, Agentic AI, workflow automation, and RPA technologies.
Partner with Client Product and Business teams to manage and prioritize the product backlog.
Facilitate backlog refinement, story grooming, and requirements elaboration sessions.
Ensure stories meet Definition of Ready (DoR) prior to development.
Maintain traceability from business objectives through development, testing, deployment, and business acceptance.
Collaborate closely with UX, Engineering, QA, and Architecture teams to ensure successful delivery.
Participate in sprint planning, reviews, release planning, and UAT activities.
Act as the primary liaison between Business, Product, Operations, Architecture, UX, Development, Testing, and Automation teams.
Facilitate governance reviews, design workshops, requirements reviews, and solution validation sessions.
Coordinate cross-functional decision-making and resolve requirement ambiguities.
Support sprint reviews, release planning, UAT execution, deployment readiness, and production rollouts.
Provide project status updates, dependency tracking, and risk management support.
Develop a strong understanding of legacy mainframe business functionality and operational processes.
Support modernization initiatives involving React micro-frontends, middleware, APIs, and enterprise platforms.
Collaborate with Solution Architects on frontend and integration solution approaches.
Analyze REST APIs, middleware integrations, system interfaces, and data flows.
Support definition of performance, accessibility, security, usability, and operational requirements.
Identify opportunities to leverage Artificial Intelligence (AI), Agentic AI, Intelligent Automation, and RPA capabilities within modernization initiatives.
Define business requirements, user stories, acceptance criteria, and process flows for AI and automation solutions.
Collaborate with business stakeholders to identify use cases for: Agentic AI, Conversational AI, Workflow Automation, Case Management Automation, Intelligent Document Processing (IDP), RPA Solutions.
Partner with AI architects, automation engineers, and development teams to support solution delivery.
Ensure AI and automation initiatives align with enterprise governance, compliance, security, and responsible AI principles.