
Responsibilities:
1. Making for commercial, finance, supply chain, manufacturing, and corporate teams.
2. Define and execute the analytics strategy, using existing and new data sources, advanced analytics, and AI/GenAI to deliver actionable business insights.
3. Build, manage, and mentor analytics teams, including data warehouse leads and BI developers, while ensuring timely and high-quality project delivery.
4. Develop advanced analytical models (predictive and prescriptive) to support forecasting, performance optimization, and strategic planning across functions.
5. Standardize reporting and enable self-service analytics, ensuring consistent, accurate, and secure data through strong data governance and quality practices.
6. Partner with senior leadership and business stakeholders to identify high-impact analytics opportunities and clearly communicate insights and recommendations.
7. Manage analytics platforms, tools, and vendors, staying current with emerging technologies-especially GenAI-and evaluating their relevance to healthcare and pharma use cases.
Background:
- Bachelor's degree in Data Science, Statistics, Business, or a related field; Master's degree is preferred.
- 12 - 15 years of progressive experience working in a fast-paced and complex business setting, minimum 5 years in pharma/ healthcare industry.
Desired skills & attributes:
- Strong expertise in advanced analytics techniques, including experience with GenAI technologies.
- Strong technical background; exposure to visual analytics (Tableau, Power BI, etc.), advanced analytics applications (R, SAS, Python etc.), relevant GenAI platforms and data mining/ML analytics techniques is a big plus.
- Knowledge of the pharmaceutical industry, including regulatory requirements and market dynamics.
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