Job Description

Associate Director - Field CRM Engagement, Customer Knowledge Measurement

This role sits within the Customer Knowledge Measurement (CKM) vertical of Digital Human Health (DHH). The Associate Director, Field CRM Analytics owns theact on it and measure it CKM: the activation, measurement and feedback layer that operationalises customer understanding into field execution and brand performance.

The Associate Director will be responsible for leading the analytics that define how we engage customers and measure the outcome: HCP / HCC targeting (N1 detailing prioritization), field alerts and next-best-action (NBA) - including strategy, methodologies, logic, data spine, and impact measurement. The team supports US Brand, Field Operations, DHH counterparts, IT.

The role is a key node in evolving the India Hub from delivery support to strategic analytics partner across the customer-insight value chain.

Role Overview : Key Responsibilities :

- Field Activity Analytics: Assess field force performance, call planning effectiveness, and territory alignment to optimize reach, frequency, and impact of interactions.
- Call Detailing Effectiveness: Evaluate detailing activities to identify what messaging and content drive engagement and influence prescribing behavior; recommend improvements.
- CRM Analytics Optimization: Leverage CRM data to track engagement metrics, monitor channel performance, and improve personalization and next-best-action strategies.
- Field Alerts Recommendations Analytics: 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.
- Data Spine Measurement Analytics:



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.
- Prioritization and value tracking: Understand the full book of work underway and planned for each disease area or business unit. Work with BU leadership to prioritize against DHH capacity. For prioritised work, engage cross-functional teams to articulate the value and impact of each piece. Encourage the mindset to articulate theso what andnow what and to track realized business value.
- Team leadership and cross-functional orchestration: Lead and mentor Senior Managers (and the specialists, interns reporting into them), providing guidance on best practices in data analytics, modelling, validation and data visualization. Manage team workload proactively and ensure optimal resource utilization. Lead cross-functional insights pods in addition to direct teams.
- Stakeholder collaboration: Drive proactive, transparent engagement with cross-functional partners to co-create solutions, align on organizational priorities, and set clear expectations. Provide internal and business stakeholders with forward-looking visibility into key programs to inform milestones, prioritization, risk mitigation, and aligned decision-making.
- Pharma data-ecosystem analytics: Analyse data across disparate data sources (claims, EMR, Rx, activity, promotional, consumer,



content) to develop insights that inform commercial business strategies. Partner closely with the AD, Customer Behavior Analytics, on the model-output / activation handoff.
- Leverage advanced statistical methods and ML/AI modeling with strong validation practices; deliver regression and time-series models, and segmentation/clustering approaches (k-means, hierarchical) to generate actionable insights.

Education Requirements : Masters (or equivalent) in Data Science, Mathematics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Management or an equivalent commercial discipline. Advanced degree (MBA, MS, PharmD, PhD) is preferred

Required Experience and Skills :

- 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 transparent, 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
- AI / GenAI experimentation: innovative thinking with affinity toward experimentation and appropria

📌 Associate Director - Field & CRM Engagement (Pune)
🏢 Msd
📍 Pune