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Product Manager, Platform - AI & Analytics

Job in Chesapeake, Virginia, 23214, USA
Listing for: Cardinal Health, Inc.
Full Time position Listed on 2026-11-11
Job specializations:
Salary/Wage Range or Industry Benchmark: 96000 - 124000 USD Yearly USD 96000.00 124000.00 YEAR

Job Description & How to Apply Below

Country-wide Remote

US-Nationwide-FIELD

Full time

Job Summary

The Platform Product Manager - AI & Analytics, supports the success and lifecycle management of how AI is embedded into the Wave Mark solution offering, including analytics and automated workflows. This role translates validated customer, user, business, and technical needs into clearly defined product requirements and prioritized delivery work. The Product Manager manages assigned features and capabilities from discovery through definition, development, validation, launch readiness, adoption, optimization, and lifecycle support.

This individual contributor works independently on complex assignments with general guidance on new projects. The role leads assigned work streams through influence and collaborates with Senior Product Managers, Engineering, Engineering Product Operations, Architecture, Design, Marketing, Customer Success, Sales, Implementation, Support, Data & Analytics, Quality, Security, and Operations. The role may mentor less experienced colleagues but has no direct reports.

Responsibilities Product Discovery and Customer Insight
  • Conduct and synthesize customer, user, stakeholder, workflow, and market research for assigned AI, analytics, and automated workflow problems and opportunities.
  • Help define personas, jobs to be done, pain points, use cases, hypotheses, and measurable outcomes with senior product leadership.
  • Use product analytics, customer feedback, support trends, implementation insights, and competitive information to validate priorities and recommend improvements.
  • Support discovery sessions and document findings, assumptions, decisions, and follow-up actions.
Roadmap Execution and Prioritization
  • Execute against the approved product portfolio strategy and AI domain roadmap; manage assigned features, capabilities, and work streams within established priorities.
  • Maintain a transparent backlog and prioritize requirements using customer value, business impact, evidence, feasibility, dependencies, risk, and effort.
  • Create and communicate feature roadmaps, release plans, status, trade-offs, dependencies, and decisions in accordance with the product operating model.
  • Escalate material scope, priority, timing, dependency, or outcome risks with evidence-based recommendations.
  • Contribute to business cases and stage-gate materials; present assigned sections and supporting analysis.
Product Definition and Delivery
  • Translate validated needs into product requirements, user stories, acceptance criteria, workflows, prototypes, and measurable release outcomes.
  • Provide day-to-day product direction and timely clarification to Engineering and Design for assigned features, aligned to approved strategy and architecture.
  • Coordinate prototypes, proof-of-concept, usability, alpha, beta, pilot, and validation activities.
  • Manage cross-domain and platform dependencies and contribute to integrated release planning and product readiness.
  • Apply project management discipline from initiation through closing to meet scope, quality, timing, budget, and outcome objectives.
Launch, Adoption, and Lifecycle Support
  • Partner with Marketing on product information, buyer and user insights, positioning input, enablement needs, and launch readiness.
  • Partner with Customer Success, Implementation, Support, and Sales to prepare teams, capture feedback, and resolve assigned product questions or escalations.
  • Verify product and operational readiness, including documentation, training, implementation, support, data, security, quality, and release criteria.
  • Monitor adoption, usage, satisfaction, quality, support trends, delivery performance, and workflow value; recommend backlog or roadmap adjustments.
  • Support optimization, maintenance, migration, modernization, and end-of-life…
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