Product Manager, Platform - AI & Analytics

Cardinal Health, Inc.; Field (KY); On-site; USD 100,000 - 150,000; Full time

Job summary

Cardinal Health, Inc. seeks a Platform Product Manager - AI & Analytics to oversee the lifecycle of AI-embedded analytics within the WaveMark solution.

You will translate customer and business needs into clear product requirements, manage features end-to-end, and collaborate with engineering, design, marketing, and customer success teams. You will drive discovery, define roadmaps, prioritize workstreams, and ensure successful launches with ongoing adoption and lifecycle support.

Qualifications

• Bachelor's degree in business, technology, healthcare, engineering, supply chain, analytics, or a related field, or equivalent experience.
• 4-8 years of relevant product management or AI/analytics experience.

Responsibilities

• Conduct and synthesize customer, user, stakeholder, workflow, and market research for AI, analytics, and automated workflow problems and opportunities.
• Define personas, jobs to be done, pain points, use cases, hypotheses, and measurable outcomes with senior product leadership.
• 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 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.

Education

Bachelor's degree in business, technology, healthcare, engineering, supply chain, analytics, or a related field, or equivalent experience

Job description

Job Summary

Cardinal Health™ WaveMark™ Solutions, is a market leader in healthcare inventory automation and analytics providing a scalable, enterprise-level, cloud-based platform that integrates with clinical and financial systems. For more than 20 years, WaveMark™ has helped health systems automate and simplify clinical and supply chain workflows, enabling clinicians to spend less time managing supplies and more time focused on patient care.

The Platform Product Manager - AI & Analytics, supports the success and lifecycle management of how AI is embedded into the WaveMark 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 workstreams 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 workstreams 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 activities for assigned AI, analytics, and automated workflow capabilities.

Communication and Operating Model Discipline

• Communicate clearly with technical and non-technical stakeholders and tailor detail to the audience.
• Maintain product artifacts, decisions, metrics, risks, dependencies, and status in required systems and templates.
• Facilitate cross-functional working sessions and follow through on commitments and decisions.
• Contribute to improvement of product management practices, templates, metrics, and operating model processes.
• May mentor less experienced colleagues by sharing product methods, domain knowledge, and effective practices.

Qualifications

• Bachelor's degree in business, technology, healthcare, engineering, supply chain, analytics, or a related field, or equivalent experience, preferred
• 4-8 years of r