Product Operations Analyst

About the role

The Product Operations Analyst will execute the definition of product performance tracking and portfolio insights and strategic reporting for the operating model across Pharmacy Management, Clinical Service and Inventory Optimization technology products. This role will be responsible for AI-forward product performance standards that drive customer experience and growth across products. This individual sits at the intersection of product operations, data, and engineering to drive product health reporting and performance dashboard infrastructure definition, visualization, and review cadences. Furthermore, this role will partner closely with Product, Data Insights, and Customer Success teams on portfolio-level metric level definition and synthesize customer insights to delineate data decisions that accelerate product delivery. Reporting to the Director of Product Operations & Strategy, this individual implements and refines data methodologies across the product organization. This role drives operational outcomes focused on actionable, evidence-based insights that guide product growth and business outcomes. This role works closely with Product Leadership, Engineering, Customer Success, Data Insights, Commercial teams and other McKesson organizations to drive our strategic objectives and operational efficiency and support business growth. McKesson Pharmacy System (MPS) is an independent business within the larger McKesson Commercial Strategy & Innovation (CSI) organization.

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