Product Owner: AI-Powered Data Mining Solutions

Zelis Healthcare, LLC; Morristown (NJ); Hybrid; USD 105,000 - 133,000; Full time

Benefits offered by this job

401k with employer match

Health benefits

Flexible PTO

Job summary

Zelis is seeking a Product Owner for Data Mining Solutions to own and translate the data mining product roadmap into clearly defined work for Agile teams. You will collaborate with stakeholders, manage the team backlog, write user stories and acceptance criteria, and support AI-enabled features from discovery through release.

You will partner with Architecture, Engineering, and analytics teams to ensure requirements are well-defined, testable, and aligned with the product roadmap, delivering

Qualifications

• Bachelor's degree or equivalent relevant experience.
• 4+ years of experience in product management, business analysis, or a related role.
• Experience developing user stories, acceptance criteria, business requirements, functional specifications, or test scenarios.
• Experience managing or contributing to an Agile team backlog.
• Knowledge of Agile software development lifecycle practices.
• Familiarity with model outputs, confidence scoring, decision-support workflows, and responsible AI controls.

Responsibilities

• Build, maintain, refine, and prioritize the Data Mining team backlog.
• Translate roadmap initiatives, business requirements, analytical concepts, and operational needs into features, user stories, enabler stories, and acceptance criteria.
• Ensure backlog items are clearly defined, appropriately sequenced, and ready for delivery.
• Balance functional requirements, technical enablement, defect resolution, operational improvements, and nonfunctional requirements.
• Work with product leaders to ensure backlog priorities remain aligned with the product roadmap.
• Communicate changes in scope, priority, dependencies, and delivery risk.
• Participate in PI Planning, sprint planning, backlog refinement, daily stand-ups, sprint reviews, retrospectives, and Product Owner synchronization activities.
• Present story details and priorities to Agile teams.
• Support estimation and capacity discussions with Engineering, Data Science, and other delivery partners.
• Coordinate dependencies with other product and delivery teams.
• Resolve requirement questions and provide timely clarification during development.
• Accept completed stories after confirming that acceptance criteria and the Definition of Done have been met.
• Participate in system demonstrations and ensure delivered functionality is presented to appropriate stakeholders.
• Partner with key stakeholders to document detailed requirements.
• Translate data mining methodologies into understandable system, workflow, data, reporting, and user requirements.
• Document expected inputs, outputs, business rules, exception handling, user interactions, and operational workflows.
• Collaborate with Architecture and Engineering to understand technical enablers and document their business relevance.
• Identify gaps, conflicts, and unclear requirements before work enters development.
• Support workflow diagrams, wireframes, process maps, and data flow documentation as appropriate.
• Translate AI, machine learning, and automation requirements into clearly defined user stories, acceptance criteria, workflow requirements, and nonfunctional requirements.
• Document requirements related to human review, explainability, confidence thresholds, exception handling, auditability, monitoring, and escalation.
• Partner with tech teams to ensure AI-enabled features are testable and operationally understandable.
• Partner with QA and business stakeholders to define test scenarios and expected results.
• Support functional testing, user acceptance testing, defect triage, and release validation.
• Confirm delivered functionality meets business requirements.
• Coordinate with the Product Manager and Operations on release readiness.
• Support release notes, internal documentation, training materials, and knowledge transfer.
• Help monitor releases and rapidly identify issues requiring backlog action.
• Support validation and acceptance testing of AI-enabled functionality, including expected outputs, exception scenarios, workflow impacts, and human-in-the-loop controls.
• Confirm that AI-generated or AI-assisted outputs meet approved acceptance criteria before release.

Skills

Product management

User stories

Agile

Analytics

Communication

Backlog management

AI / automation

Education

Bachelor's degree or equivalent

Tools

SQL

SAFe PO/PM

Job description

Zelis is seeking a Product Owner for Data Mining Solutions to own and translate the data mining product roadmap into clearly defined work for Agile teams. You will collaborate with stakeholders, manage the team backlog, write user stories and acceptance criteria, and support AI-enabled features from discovery through release.

You will partner with Architecture, Engineering, and analytics teams to ensure requirements are well-defined, testable, and aligned with the product roadmap, delivering