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856 Pfizer Products India Pvt Ltd.
Senior Manager, Data Engineering
856 Pfizer Products India Pvt Ltd.
Mumbai•On-site•9-12 Yrs•Jul 8
Job description
Data EngineeringAI & ML PipelinesPharma AnalyticsAdvanced Analytics
Overview
The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world. As a Senior Manager, Data Engineer, you will play a pivotal, hands-on role creating the data solutions that fuel our most advanced AI and analytics applications.
Responsibilities
- Leads the development of core data components for our advanced analytics layer and agentic data layers, enabling next-generation analytics and AI tools.
- Works closely with cross-functional teams to help execute the enterprise Data Strategy, translating roadmaps into technical designs and building solutions using standard technology stacks.
- Designs and builds end-to-end data pipelines and products specifically to power advanced AI and Retrieval-Augmented Generation (RAG) applications for the Commercial Pharma domain.
- Builds the clean, reliable data foundation that enables the use of statistical analysis, machine learning, and AI models like RAG to uncover patterns and insights.
- Delivers the high-quality, performant data that forms the basis of meaningful recommendations and drives concrete strategic decisions for brand and commercial strategy.
- Stays abreast of analytical trends and cutting-edge applications of data science and AI, including RAG and agentic systems, actively applying new techniques and tools to improve data pipelines.
- Implements and adheres to best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance in all developed solutions.
Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field.
- 9+ years of experience in data or analytics engineering.
Nice to have
- Experience with pharmaceutical data and a track record of delivering business impact in the commercial pharma sector.
- Experience with performance tuning, cost optimization, and managing large-scale data infrastructure.
- Experience building dashboards using tools like Tableau, Power BI, or Streamlit.
- The ability to explain data limitations and how they affect business questions to non-technical audiences.
- Familiarity with the principles of managing data as a product.
- Adaptability and Flexibility: Demonstrates the ability to adjust and thrive in changing environments.
- Strong Communication: Exhibits effective communication skills for workplace interactions.
- Positivity: Maintains a positive attitude, showing willingness to work hard and learn.
- Self-Starter: Takes an active role in professional development.
Education
- Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field.
Benefits
- Equal opportunity employer
- Complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.