# Director, Analytics Engineering & AI

**Company**: Pfizer
**Location**: Mumbai
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/India---Mumbai/Director--Analytics-Engineering---AI-_4964708?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9526b88a-a3e

## Description

Analytics Gateway, part of Pfizer's Global Commercial Analytics (GCA) organization, is the India-based Global Capability Center that delivers innovative, high-quality analytics solutions at scale to Pfizer's data-driven International Commercial Division (ICD).

The Director, Analytics Engineering & AI leads Analytics Gateway’s Data Engineering and Business Intelligence/Data Visualization teams which consists of ~20 colleagues who, in addition to traditional Data Engineering and Data Visualization offerings, are increasingly focused on designing, building, and scaling AI-enabled analytics solutions.

**Key Responsibilities:**

- Lead the ~20 colleagues that form the AI Engineering, Data Engineering, and Business Intelligence / Data Visualization teams within the Mumbai-based Analytics Gateway Global Capability Center supporting Pfizer's International Commercial Division.

- Act as the AI Engineering lead, owning the design, build, deployment, and scaling of AI-enabled and agentic solutions for commercial use cases, from proof of concept to production.

- Serve as solution architect and design authority for the team, defining reference architectures, technical standards, and reusable patterns across data, AI, and BI solutions.

- Lead the development of agentic AI solutions using Snowflake Cortex Agents, orchestrating across structured and unstructured commercial data to deliver conversational, self-service insight and automated workflows.

- Establish and own MLOps / LLMOps practices, including model and agent versioning, CI/CD for AI, automated testing and evaluation, performance and cost monitoring, and lifecycle management.

- Design and deliver strategic analytics solutions end to end, sourcing and curating data from diverse commercial data sources and applying established data engineering practices alongside emerging AI techniques.

- Own the evolution of the team's data foundation, from data curation, database modeling, and ETL pipeline development toward governed, observable, AI-ready data layers.

- Deliver intuitive, AI-enabled decision-support and reporting tools that turn complex data into clear, actionable insight for commercial stakeholders.

- Guide the team's transition from traditional BI and data engineering skillsets toward AI engineering, agentic AI, and modern data engineering.

- Partner with Business Transformation & Technology, Data Science, and Insights & Strategy teams to align on foundational data assets, engineering and AI best practices, platform choices, and shared roadmaps.

- Represent the team to GCA and ICD leadership, providing visibility into delivery, capability growth, and risk.

- Contribute to documentation, playbooks, and knowledge-sharing practices, serving as a subject matter expert who raises AI and analytics capability across the organization.

- Drive a positive, inclusive, and high-engagement culture focused on retention, innovation, team development, and knowledge sharing.

**Basic Qualifications:**

- 15-20 years of relevant experience in data analytics, data science, or business intelligence, and 8+ years’ people-management experience with demonstrated success leading managers.

- Proven track record of leading the design, development, and delivery of AI-enabled analytics and data engineering solutions that drive measurable business impact at scale.

- Advanced degree in Computer Science, Data Engineering, Management, Applied Econometrics, Actuarial Science, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field.

**Preferred Qualifications:**

- Demonstrated breadth of technical leadership experience, including engineering delivery, data architecture, ETL pipeline development, database modeling, and BI/visualization tooling.

- Strong ability to influence stakeholders to develop high‑performing teams.

- Hands-on experience architecting and delivering AI / agentic solutions on Snowflake Cortex.

- Experience establishing MLOps / LLMOps practices.

- Proven experience as a solution architect for enterprise-scale data and AI platforms.

## Skills

### Required
- Data Engineering
- Business Intelligence
- Data Visualization
- AI Engineering
- Snowflake Cortex Agents
- MLOps
- LLMOps

### Nice to have
- dbt
- Airflow
- Tableau
- Power BI
- Grafana
- Snowflake Cortex

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Source: [Apply at pfizer.wd1.myworkdayjobs.com](https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/India---Mumbai/Director--Analytics-Engineering---AI-_4964708?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)