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McKesson

Supplies medicines and technology to healthcare teams

Product Operations Analyst

Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A degree or equivalent and typically 4+ years of relevant experience are required.
  • At least 4 years of progressive experience in product management, product operations, technology consulting, analytics, or related technology transformation roles is required.
  • Strong experience with Claude, Rovo, Figma, or equivalent AI-first product tools to accelerate product development is required.
  • Strong data analysis skills and experience with Excel, SQL, R, Python, or comparable business intelligence tools such as Power BI, Looker, and Tableau are required.
  • A strong understanding of product metrics, dashboard reporting infrastructure, and prioritization frameworks is required.
  • Strong organizational skills and the ability to collaborate across multiple concurrent work streams and meet deadlines reliably are required.
  • The role requires cross-functional facilitation and collaboration with product, engineering, data, design, customer success, and commercial leaders to influence conversations, mitigate issues and decisions, document outcomes, and drive accountability.
  • Strong analytical fluency is required in governing product metric definitions, measuring product health, assessing product KPI taxonomy, and extracting contextual insights from data with cross-functional partners.
  • Clear written communication and storytelling skills are required to produce clean, readable documentation and leadership-ready narratives.
  • The candidate must be comfortable coordinating across teams and following up on action items without formal authority.

Responsibilities

  • Maintain and update the KPI taxonomy defining how product health is measured and reported across the portfolio, using AI tools to ensure metrics are consistently defined and comparable while accommodating different business models.
  • Build and maintain product performance dashboards; coordinate with Engineering to ensure underlying instrumentation, data access, and visualizations are accurate and current.
  • Create templates and materials for product performance reviews, track review cadence, follow up with product managers to collect inputs on schedule, and ensure submissions are grounded in data for executive audiences.
  • Monitor product performance data regularly to identify early-warning signals, flag risks to relevant leads, and support escalation by pulling relevant data and engaging stakeholders across Product, Engineering, and Customer Success.
  • Aggregate and analyze product performance data across the portfolio using AI tools to identify patterns and prepare evidence-based insights for resource reallocation, acceleration, or sunset recommendations.
  • Synthesize data across product areas into a coherent narrative for leadership and proactively flag anomalies or emerging risks.
  • Prepare executive summaries and KPI tracking templates, ensuring reporting uses current data and is formatted for the intended audience.
  • Aggregate voice-of-customer data using AI-powered analysis to surface themes and patterns at scale; collaborate cross-functionally to maintain the feedback taxonomy and routing process so insights reach the appropriate leaders.
  • Monitor the competitive landscape regularly and compile and summarize market intelligence, competitor product updates, and industry signals into narratives that inform product and portfolio decisions.
  • Promote AI use to identify recurring gaps or inconsistencies in performance-data collection and reporting across the portfolio.
  • Execute and continuously evaluate the scoring process for the product prioritization framework.
  • Build core deliverables for product-manager training, onboarding, and enablement, using AI to accelerate content development and refinement.
  • Prepare materials to support coaching product managers on prioritization, return-on-investment sizing, experimentation, and planning.
  • Support administration of AI tools that accelerate product operational workflows and reusable templates for product development.
  • Identify opportunities to embed AI in operational workflows and promote adoption of AI-powered productivity practices across the product organization.
  • Use AI-led tools and research concepts to capture critical data points about the competitive landscape, customer needs, and market trends that influence product strategy decisions.
  • Monitor roadmap inputs and progress and identify key data points for opportunity areas to accelerate delivery across the product portfolio.

Desired Qualifications

  • Experience with AI and automation tools for product-management and design-workflow acceleration is preferred.
  • Experience supporting operating mechanisms for multi-product platform organizations where the operating model itself is a transformation deliverable is preferred.
  • Familiarity with technical product concepts, cloud platforms, data ecosystems, and API-driven models is beneficial.
  • Experience in healthcare, pharmacy operations, supply chain, or predictive analytics domains is preferred.

About the Company

McKesson

Supplies medicines and technology to healthcare teams

McKesson distributes medicines and medical supplies to pharmacies, hospitals and other care providers, alongside services that connect drug manufacturers with patients. Its specialty businesses support community cancer care and clinical research, extending its work beyond moving products through warehouses. The company buys drugs and supplies from manufacturers for resale, while its software helps pharmacies manage inventory and healthcare teams secure insurance approval for prescriptions. It also sells practice management and patient support services to clinicians and drugmakers. McKesson traces its business roots to 1833 and is headquartered in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1833

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