Note: The job is a remote job and is open to candidates in USA. McKesson is hiring a Product Operations Analyst to define product performance tracking, portfolio insights, and strategic reporting for pharmacy technology products. The role builds performance dashboards and reporting practices, analyzes customer and market insights, and supports product prioritization, operating-model maturity, and strategy using AI-enabled tools.
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
- Execute and continuously evaluate the scoring process for the product prioritization framework
- Build core deliverables for PM training, onboarding, and enablement, leveraging AI to accelerate content development and refinement
- Prepare materials to support coaching of PMs on prioritization, ROI sizing, experimentation, and planning
- Support the administration of AI tooling that rapidly accelerates product operational workflows and reusable templates for product development
- Identify opportunities to embed AI into operational workflows and champion adoption of AI-powered productivity practices across the product organization
- Utilize AI-led tools and research concepts to capture critical data points regarding competitive landscape, customer needs, and market trends that influence decisions for the product strategy
- Monitor roadmap inputs and progress and identify key data points for opportunity areas to accelerate delivery across the product portfolio
Skills
- 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
- Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
- This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future
- Experience with AI/automation tools for product management and design workflow acceleration
- Experience supporting operating mechanisms for multi-product platform organizations where the operating model itself is a transformation deliverable
- 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
Benefits
- Location flexibility; open to candidates across the United States.
- For candidates based in the Dallas–Fort Worth (DFW) area: hybrid work, with at least two days per week onsite at the Las Colinas office and the remaining days remote. Specific in-office days may be designated based on team needs and business priorities.
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