The Associate Director, Field & CRM Analytics owns the "act on it and measure it" CK&M: the activation, measurement and feedback layer that operationalises customer understanding into field execution and brand performance.
Lead a team of 15+ covering capability domains under Field & CRM Analytics.
Assess field force performance, call planning effectiveness, and territory alignment to optimize reach, frequency, and impact of interactions.
Evaluate detailing activities to identify what messaging and content drive engagement and influence prescribing behavior; recommend improvements.
Leverage CRM data to track engagement metrics, monitor channel performance, and improve personalization and next-best-action strategies.
Develop and refine data-driven alerting and next-best-action models by analyzing HCP behavior, field activity, and CRM engagement patterns; measure effectiveness through adoption, conversion, and downstream business impact.
Design and manage a unified analytics layer integrating HCP/HCC, field activity, and engagement data; define KPIs, attribution logic, and measurement frameworks to enable consistent, scalable insights and performance tracking.
Understand the full book of work underway and planned for each disease area or business unit.
Requirements
Masters (or equivalent) in Data Science, Mathematics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Management or an equivalent commercial discipline
8+ years with relevant experience in field-effectiveness analytics, customer-engagement measurement within the pharmaceutical, consulting or healthcare industry; including delivery of complex analytical projects for the US region.
4+ years leading high-performing teams; proven ability to coach talent, build inclusive culture, and lead cross-functional pods in a matrixed setup.
Strong consultative mindset with demonstrated ability to translate brand and commercial strategies into field-execution plans and measurement frameworks.
Executive presence with ability to influence senior leaders, align US Commercial & DHH stakeholders, and communicate clear, data-driven narratives.
Extensive experience working with real-world datasets (claims, Rx, CRM, promotional and sales data), leveraging SQL, Python, and AI-driven tools; familiarity with modern data platforms including Snowflake, Databricks, and AWS/GCP.
Innovative thinking with affinity toward experimentation and appropriate risk-taking; curiosity about how agentic AI and automation can enhance NBA generation, decision science analytics.