Director, Field Analytics and Reporting

Role Summary

Director, Field Analytics & Enterprise Reporting leads the North America Decision Sciences organization to architect, operationalize, and continuously enhance the enterprise reporting ecosystem that powers Commercial decision-making. The role directs the development of field and HQ reporting platforms, shapes enterprise KPI frameworks, and introduces AI-enabled capabilities to elevate performance visibility for Sales, Marketing, Market Access, and Executive Leadership. You will collaborate with cross-functional teams to ensure reporting systems are intuitive, accurate, and impactful, driving strategic insights and business performance.

Responsibilities

• Lead enterprise reporting and KPI strategy, designing and governing consistent, scalable performance measurement.
• Build and evolve field and HQ reporting platforms to support Sales Leadership, Field Teams, and Commercial HQ.
• Partner with Field Excellence and Sales Leadership to design intuitive dashboards with strong user experience.
• Integrate GenAI capabilities, conversational analytics, and automated insights into reporting workflows.
• Collaborate with Insights, Data Strategy, Data Engineering, IC, Field Ops, and brand teams.
• Lead a team of BI developers and analysts, fostering innovation and accountability.
• Ensure reporting data quality, harmonized data sources, and reliable automation.
• Contribute to QBRs, deep-dives, leadership readouts, and launch readiness.

Qualifications

• Required: Minimum 10 years of experience in commercial analytics, BI, field analytics, or reporting within pharma/biotech.
• Required: Expertise in BI tools (Power BI, Tableau, Qlik), SQL, and data platforms like Snowflake.
• Required: Proven ability to design and operationalize KPI frameworks.
• Required: Strong understanding of commercial datasets: field activity, IC, claims, patient services, MA/payer data.
• Required: Strong analytical and storytelling skills.
• Required: Excellent communication skills and experience presenting to senior leadership.
• Required: People leadership experience with hiring, managing, and developing teams.
• Preferred: Experience with pharmaceutical field execution models and performance metrics.
• Preferred: Familiarity with harmonized data layers, automated reporting pipelines, and data governance.
• Preferred: Experience deploying AI/GenAI-enabled reporting solutions.
• Preferred: Experience supporting field teams through launches or major market shifts.

Education

• Bachelor’s degree in data science, Analytics, Business, Statistics, Computer Science, or related field.
• Master’s degree in a quantitative or business discipline. (Preferred)