Senior Technical Product Manager, AI & Analytics

McKesson

. Lead product strategy, roadmap, and delivery for AI, automation, analytics, and intelligent workflow capabilities across pharmacy management and Data & Insights platforms .

Posted 10/2/2026full-timeUnited StatesSenior💰 $116,200 - $193,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading product strategy and delivery for AI, automation, and analytics within pharmacy management and data platforms. Proficient in managing complex SaaS products, ensuring scalability, security, and performance while aligning with customer needs and business outcomes.

Highest-signal resume keywords

Product ManagementAI/ML UnderstandingSaaS Product ExperienceBacklog PrioritizationStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product StrategyRoadmap DevelopmentData GovernanceAnalytics ManagementUser Story DefinitionMVP DefinitionCloud Data PlatformsWorkflow AutomationAI-Powered ProductsData Quality

Soft Skills

Executive CommunicationCross-Functional CollaborationInfluencing Without Authority

Tools & Technologies

SnowflakeLookerBusiness Intelligence PlatformsData Visualization Tools

Industry Keywords

Pharmacy Management SystemsHealthcare TechnologyRegulated Enterprise EnvironmentsData ProductsCustomer-Facing Analytics

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead product strategy, roadmap, and delivery for AI, automation, analytics, and intelligent workflow capabilities across pharmacy management and Data & Insights platforms
Define and drive the Data & Insights Platform vision, strategy, roadmap, and outcomes
Evolve the platform into a cloud-native, AI-enabled analytics product balancing scalability, reliability, governance, security, performance, and cost efficiency
Lead strategy for reporting, analytics, self-service insights, data products, AI-powered experiences, and customer-facing intelligence
Prioritize Snowflake optimization, governed data access, semantic models, auditability, data quality, lineage, and service-level management
Establish unified analytics and data product capabilities across EnterpriseRx, CPS, APS, and Supplylogix
Partner with customers, pharmacy SMEs, UX, Commercial teams, and Product Owners to identify opportunities and measurable outcomes
Define product requirements, MVP scope, user stories, acceptance criteria, KPIs, and success measures
Own roadmap and backlog prioritization based on customer feedback, market analysis, business value, and technical feasibility
Partner with Commercial and Finance on packaging, entitlements, adoption, monetization, cost-to-serve, and value realization
Lead design-partner engagements, pilots, product launches, and go-to-market readiness
Develop the AI strategy and roadmap for the Data & Insights Platform and broader Pharmacy Operating System
Identify opportunities to automate workflows, improve decisions, enhance user experiences, and increase operational efficiency
Establish requirements for explainability, responsible AI, monitoring, user feedback, adoption, and trustworthy outputs
Serve as Product Management lead for data, analytics, reporting, and AI platform capabilities
Collaborate with Engineering, Architecture, UX, Data Strategy, Security, Compliance, Commercial, and Pharmacy Operations
Lead backlog prioritization, sprint planning, UAT, release readiness, and delivery governance
Align platform capabilities with APIs, event-driven architecture, domain-driven design, and reusable platform services
Monitor adoption, performance, customer outcomes, and product value to guide continuous improvement

Requirements

What you’ll need

Degree or equivalent and typically 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
Preferred: Experience with pharmacy management systems, healthcare technology, pharmacy operations, claims, adjudication, inventory management, or clinical workflows
Preferred: Experience with Snowflake, Looker, or comparable cloud data and business intelligence platforms, including governed analytics, query optimization, workload management, and cost controls
Preferred: Experience launching AI-powered products, workflow automation, copilots, recommendation engines, or decision-support tools
Preferred: Familiarity with product telemetry, usage analytics, experimentation, and outcome measurement
Preferred: Experience developing customer-facing analytics, self-service insights, or data monetization strategies
Preferred: Knowledge of modern data architecture, data governance, and AI governance practices
Must be currently authorized to work in the United States on a fulltime basis without employer support or sponsorship now or in the future
Must not require McKesson immigration support or sponsorship

Benefits

Comp & perks

Competitive compensation package
Annual bonus may be offered
Long-term incentive opportunities may be offered
Up to 10% travel