Senior Product Owner AI-Enabled Enterprise Solutions

Responsibilities

1. Product Ownership & Enterprise Application Delivery

• Own and manage the product vision roadmap and backlog for assigned enterprise IT initiatives across business domains.

• Elicit and refine business requirements through workshops interviews and process reviews.

• Translate business needs into epics features user stories and acceptance criteria using enterprise tools (e.g. Jira Confluence).

• Document business processes system flows and functional logic using clear diagrams and narratives (e.g. Lucid).

• Assess enterprise systemsendtoend from user experience through integrations data flows and downstream impacts.

• Balance business value technical feasibility regulatory obligations and delivery risk.

• Support Agile waterfall and hybrid delivery models including formal governance and design documentation where.

• Write and execute functional test cases and support user and business acceptance testing.

2. AI & Intelligent Automation Opportunity Identification

• Analyze business processes toidentifywhere AICopilotstyletools automation oragentbasedsolutions can reduce manual effort and improve outcomes.

• Identifyrepetitiverulesbased orinformationheavyactivities suitable for AI augmentation or automation.

• Partner with stakeholders to frame AI opportunities in measurable business terms (e.g. productivity improvement cycle time reduction decisionsupport).

• Leverage AI tools (e.g. Copilotpromptbasedassistants) to support requirements analysis documentation ideation and early solution exploration.

• Identifydecision points where AI can act as decision support or asemiautonomousdigital teammatewith clear human oversight.

3. AI Requirements & Delivery Enablement

• Elicit and define requirements forAIenabledinitiatives including:

• Businessobjectivesand success criteria

• User interaction models (humanintheloopvs. automation)

• Inputs outputs decision boundaries and escalation rules

• Translate business needs intoAIreadyuser stories acceptance criteria and prompt or logic descriptions suitable for AI oragentbasedimplementations.

• Identifyand document data requirements for AI use cases (source systems data quality metadata access constraints) in collaboration with SMEs and data teams.

• Work iteratively with technical and AI teams tovalidatefeasibility refine scope and adjust requirements based on risk and complexity.

• Support testing and validation of AI outputs including quality accuracy explainability and exception handling.

4. AI Governance Risk & Responsible Use

• EnsureAIenabledfeatures are appropriately governed transparent and aligned with enterprise AI data and security policies.

• Capture andmaintainAIusecasedocumentation (purpose scope data inputs user impacts controls) to support governance and audit needs.

• Identifyand factor in ethical legal data privacy and compliance considerations when defining AI requirements.

• Collaborate with governance legal risk and data teams to support AI approval lifecycle management and traceability.

5. Stakeholder Management & Change Enablement

• Serve as the primary point of contact between business IT vendors and AI/data teams.

• Facilitate alignment on scope priorities risks dependencies and outcomes.

• Translate complex technical and AI concepts into clearbusinessfocusedlanguage.

• Support change management and adoption by clearly defining howAIenabledcapabilities fit into daily workflows anddecisionmaking.

• Contribute to improving overall AI literacy through documentation walkthroughs and practical examples.

Qualifications

• 46 years of experience inBusiness Systems Analysis Product Ownership or IT deliveryin an enterprise environment.

• Strong experience deliveringenterprise applicationsusing Agile waterfall or hybrid methodologies.

• Demonstrated experience writingclear requirements user stories process flows and acceptance criteria.

• Practical working knowledge ofAI automation analytics andCopilotstyletools(no model development).

• Strong stakeholder management communication and facilitation skills.

• Handsonexperience withJira Confluence and Lucid(required).

Preferred / Nice to Have

• Experience supportingAIenabled automation or intelligent workflow initiatives.

• Familiarity withagentbasedautomation or advanced workflow orchestration concepts.

• Experience in domains such as automotive finance sales contact center or technical operations.

• Exposure toKepnerTregoe Lean Six Sigma or processreengineeringmethodologies.

• Relevant certifications (CSPOSAFePOPM PMP or equivalent).

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