As a CRM and Data Science Lead you will play a pivotal role to turn complex,large-scale pharma commercial data into transparent, actionable decisions that drive growth. You bring deepcommand of CRM analytics and commercial datasets (sales, market share, HCP/accountperformance) and advanced data science (clustering, market mix modeling, forecasting, omnichanneloptimization). You’ll own end-to-end analytics from raw Data to executive-ready insights, and partnerwith Sales and Marketing to operationalize next-best actions, channel mix, and competitiveintelligence.

Your New Role:

- Convert complex commercial datasets (sales, market share, CRM activity, HCP/account data)into clear growth insights and risk signals for decisive action.
- Deliver executive-ready recommendations with quantified impact; build dashboards andnarratives that accelerate data-driven decisions.
- Own commercial KPI frameworks (sales, share, engagement quality, reach/frequency,conversion, uplift) and segment/cluster views to surface next-best-actions atHCP/account/region levels.
- Build and maintain advanced models (clustering/segmentation, forecasting, demand planning,MMM) to inform strategy and resource allocation.
- Optimize omnichannel mix and budgets to maximize productivity; run sensitivity analyses, A/Btests, and causal inference to validate impact.
- Work closely with the different stakeholders, i.e. a cross-functional team of business and dataanalysts,



leadership team and technical experts etc.
- Lead competitor intelligence and scenario planning to track market shifts, launches, andstrategic risks/opportunities.
- Mentor CRM professionals; operationalize next-best-actions within CRM, elevate campaigndesign and measurement, and enforce data/process governance.

Skills & Qualifications:

- 3- 5 years in commercial analytics/data science (pharma/healthcare preferred) with M.Tech/MBA/MS/B. Tech; strong statistics/econometrics and hypothesis-driven problem solving.
- Advanced SQL and Python/R to analyze large commercial datasets; build reproducible pipelinesand deliver rapid, high-signal insights.
- Develop validated models (clustering/segmentation, propensity/uplift, forecasting, MMM) usingcausal inference, A/B testing, and uncertainty quantification to drive decisions.
- Optimize omnichannel mix and budget allocation via ROI, elasticity, and sensitivity/scenarioanalysis; operationalize next-best-action logic for sales/marketing.
- Deep fluency in pharma commercial data (Market share, Internal/External Sales, HCP/accountmaster, CRM activity) and CRM platforms (Veeva/Salesforce); competitor intelligence andcompliance-aware analytics.
- Translate analysis into executive-ready insights and narratives (Tableau/Power BI/Qlik); enforceKPI frameworks, model monitoring, and governance across the analytics lifecycle

📌 CRM and Data Science Lead (Bengaluru)
🏢 Novonordisk
📍 Bengaluru