Senior AI & Analytics Product Leader (Remote/Hybrid)

McKesson

Columbus (OH)

Hybrid

USD 116,000 - 194,000

Full time

5 days ago

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Job summary

McKesson seeks a Senior Technical Product Manager for AI & Analytics to lead the Data & Insights Platform's strategy and roadmap across EnterpriseRx, CPS, APS, and Supplylogix. You will embed AI-enabled analytics into pharmacy workflows, collaborating with engineering, UX, security, compliance, and commercial teams to deliver measurable business value.

The role requires 7+ years in product management, strong AI/ML knowledge, and experience in regulated enterprise environments, with a hybrid work

Qualifications

Degree or equivalent and typically requires 7+ years of relevant experience.
7+ years of experience in Product Management, Technical Product Management, Platform Product Management, or Product Strategy.
Experience leading complex SaaS, enterprise software, workflow, healthcare technology, or data platform products.
Strong understanding of AI/ML, GenAI, automation, analytics, and data products from a product management perspective.
Ability to translate technical and AI concepts into customer-facing capabilities, roadmaps, and measurable business outcomes.
Experience partnering with Engineering, Architecture, UX, Data, Analytics, Security, Compliance, and Commercial teams.
Experience managing analytics, reporting, dashboard, visualization, self-service, or cloud data platform products.
Strong skills in product discovery, roadmap development, backlog prioritization, MVP definition, user stories, acceptance criteria, and success metrics.
Experience operating in complex, regulated enterprise environments.
Excellent executive communication and stakeholder management skills.
Proven ability to influence and align cross-functional teams without direct authority.

Responsibilities

Define platform vision, strategy, roadmap, and outcomes aligned with Pharmacy Systems modernization.
Evolve the platform into a cloud-native, AI-enabled analytics product.
Lead product strategy for reporting, analytics, self-service insights, data products, AI-powered experiences, and customer-facing intelligence.
Prioritize data governance, access controls, data quality, lineage, and SLA management.
Establish analytics capabilities across EnterpriseRx, CPS, APS, Supplylogix for governed insights.
Partner with customers and internal teams to identify high-value opportunities and measurable outcomes.
Define requirements, MVP scope, user stories, acceptance criteria, KPIs, and success measures.
Own roadmap and backlog prioritization informed by feedback and feasibility.
Lead design-partner engagements, pilots, launches, and go-to-market readiness.
Translate AI modernization objectives into scalable AI-enabled capabilities.