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Pfizer brand, metro Mumbai location, and visible AI-data remit create medium applicant competition.
Pharma-specific patient data, compliance (GxP/HIPAA) and Collibra use increase industry specificity.
Explicit 10+ years, 5+ years management, and mandatory Snowflake/AWS/Python/CI/CD requirements enforce high shortlisting strictness.
Own end-to-end engineering delivery of AI-enabled data products from requirement gathering to production deployment, ensuring production-grade quality and user value.
Lead and mentor a high-performing AI data engineering team located in Mumbai/Chennai, setting technical direction and fostering engineering excellence.
Establish and maintain CI/CD pipelines, automation, and DevSecOps practices while collaborating with global commercial teams and enterprise data platform stakeholders.
Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or related field.
10+ years of experience in data engineering, data science, or related technical fields.
5+ years of people management experience leading technical teams.
Proficiency in SQL, Python, Snowflake; experience with cloud platforms (AWS or Azure), containerization (Docker/Kubernetes), CI/CD (GitHub Actions), and AI data enablement frameworks.
Experienced in delivering AI-ready data products end-to-end with strong focus on quality and engineering best practices.
Comfortable working with complex data sources including anonymized patient data within regulated/compliance-aware environments.
A technical leader skilled at collaborating across global teams and driving rapid product iteration in a hybrid work model.