AI-Driven Product Ops Analyst

McKesson Corporation; United States; Hybrid; USD 93,000 - 156,000; Full time

Job summary

McKesson seeks a Product Operations Analyst to define product performance tracking and portfolio insights across Pharmacy Management, Clinical Service, and Inventory Optimization technology products. You will drive AI-forward standards for customer experience and growth, collaborating with Product, Data Insights, and Customer Success teams to define metrics and synthesize insights.

This role reports to the Director of Product Operations & Strategy, partnering with Product Leadership,

Qualifications

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

Responsibilities

• Maintain and update the KPI taxonomy that defines how product health is measured and reported across the portfolio; use AI tools to ensure metrics are consistently defined and comparable while accommodating different business models.
• Build and maintain product performance dashboards; coordinate with Engineering teams to ensure the underlying instrumentation, data access, and visualizations are accurate and current.
• Craft templates and materials for product performance reviews; track the review cadence, follow up with PMs to collect inputs on schedule, and ensure submissions are grounded in data rather than qualitative narrative for executive audiences.
• Monitor product performance data on a recurring basis to identify early-warning signals; flag risks to relevant leads and support the escalation process by pulling the right data and engaging the right stakeholders across Product, Engineering, and Customer Success.
• Aggregate and analyze product performance data across the product portfolio using AI tools to accelerate pattern recognition and prepare evidence-based insights that inform resource reallocation, acceleration, or sunset recommendations.
• Synthesize data across product areas into a coherent narrative for leadership and flag anomalies or emerging risks proactively.
• Prepare executive summaries and KPI tracking templates; ensure all reporting is grounded in current data and formatted for the intended audience.
• Aggregate VOC data using AI-powered analysis to surface themes and patterns at scale; collaborate cross-functionally to maintain the feedback taxonomy and routing process to ensure insights reach the right leaders.
• Monitor the competitive landscape on a recurring basis; compile and summarize market intelligence, competitor product updates, and industry signals into impactful narratives that inform product and portfolio decisions.
• Champion the use of AI to identify recurring gaps or inconsistencies in how performance data is collected and reported across the portfolio.

Skills

AI tools

Data analysis

SQL

Python

Power BI

Education

Bachelor's degree or equivalent

Tools

Power BI

Looker

Tableau

Excel

Job description

McKesson seeks a Product Operations Analyst to define product performance tracking and portfolio insights across Pharmacy Management, Clinical Service, and Inventory Optimization technology products. You will drive AI-forward standards for customer experience and growth, collaborating with Product, Data Insights, and Customer Success teams to define metrics and synthesize insights.

This role reports to the Director of Product Operations & Strategy, partnering with Product Leadership,