Pfizer

Chennai
Total Offices: 2
121,990 Total Employees
Year Founded: 1848

Pfizer Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2.5 days a week

Global Office Locations

Chennai

Chennai, India

Mumbai

The Capital, 1802 / 1901, Plot No. C-70, G Block, Mumbai, Maharashtra, India, 400 051

Recently posted jobs

4 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s Analytics Gateway AI Engineering, Data Engineering, and BI teams of approximately 20 colleagues. Oversees AI-enabled analytics and agentic solutions from architecture and proof of concept through production, including Snowflake Cortex Agents, MLOps/LLMOps, data foundations, ETL, BI, governance, monitoring, and responsible AI. Manages direct reports, hiring, development, resource allocation, stakeholder alignment, and strategic delivery for global commercial analytics.
2 Days AgoSaved
Remote or Hybrid
8 Locations
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.
7 Days AgoSaved
Remote or Hybrid
8 Locations
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.