Director, Analytics Engineering & AI
Pfizer (company site, opens in a new tab)15–20 yrsMumbaiOn-siteDirect career pageEst. 60–95 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and manage a ~20-person team across AI Engineering, Data Engineering, and Business Intelligence teams supporting Pfizer’s International Commercial Division.
- Own and architect the design, build, deployment, and scaling of AI-enabled analytics solutions and agentic AI products from proof of concept to production, including establishing MLOps/LLMOps practices.
- Drive evolution and delivery of strategic data and analytics solutions, including data foundation improvements, modern cloud data platforms (e.g., Snowflake), and AI-enabled decision-support tools for commercial stakeholders.
Minimum Requirements
- 15-20 years of relevant experience in data analytics, data science, or business intelligence with 8+ years in people management, including managing managers.
- Advanced degree in Computer Science, Data Engineering, Applied Econometrics, Actuarial Science, Statistics, Machine Learning or related fields.
- Proven experience leading design and delivery of AI-enabled analytics and data engineering solutions at scale.
- Work Location: Hybrid (Mumbai-based Global Capability Center).
Ideal Candidate Profile
- Experienced technical leader with hands-on expertise in architecting enterprise-scale AI and data platforms, particularly with Snowflake Cortex or similar agentic AI and cloud tech.
- Demonstrated ability to influence and develop high-performing teams through coaching and resource management in a large, matrixed commercial environment.
- Strategic operator balancing AI innovation, data engineering modernization, and stakeholder alignment across business transformation, data science, and commercial teams.