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Manager Non-US Commercialization Decision Intelligence & KDA Solutions

Bristol Myers SquibbHyderabad, Telangana, IndiaPosted 19 May 2026

This role at Bristol Myers Squibb focuses on leading an analytics team to develop AI-enabled solutions for Ex-US commercialization. You will oversee technical delivery, manage stakeholder partnerships, and implement omnichannel marketing analytics. The position requires deep expertise in pharma data, advanced statistics, and ML framework deployment. It offers the opportunity to drive AI-led innovation in a global, regulated life sciences environment.

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Experience

7+ years

Function

Research

Work mode

Hybrid, India

Company

Tier 2

What you will work on

This role at Bristol Myers Squibb focuses on leading an analytics team to develop AI-enabled solutions for Ex-US commercialization. You will oversee technical delivery, manage stakeholder partnerships, and implement omnichannel marketing analytics. The position requires deep expertise in pharma data, advanced statistics, and ML framework deployment. It offers the opportunity to drive AI-led innovation in a global, regulated life sciences environment.

TAL's take

Quality 65/1004/5 clarityTier 2 company

Solid role at a large, well-respected global pharmaceutical firm focusing on advanced AI/ML analytics.

Well-defined responsibilities and technical expectations within the pharma commercial analytics context.

Salaries at Bristol Myers Squibb

23.5 LPA average

Based on 15 Grapevine salary entries for Bristol Myers Squibb.

View all salaries

Research

4 - 6 years | L2

21 LPA average

Range: 21 - 21 LPA

Finance

2 - 4 years | L1

12 LPA average

Range: 12 - 12 LPA

Other roles

2 - 4 years | L1

11 LPA average

Range: 7 - 18 LPA

Engineering

4 - 6 years | L2

20 LPA average

Range: 20 - 20 LPA

Must haves

  • 7+ years in pharmaceutical commercial analytics
  • Experience building and delivering MMx models in non-US markets
  • Experience operationalizing LLMs for commercial use cases
  • Proficiency in Python or R
  • Experience with cloud analytics platforms like Databricks or Snowflake
  • Strong leadership skills for managing individual contributors

Tools and skills

pythonrscikit-learnpytorchdatabrickssnowflakesparkveevamlops

Nice to have: r shiny, dash, tableau, power bi, git, sharepoint, domino, llm frameworks, rag.

About the company

Global pharmaceutical company with significant analytical operations, but not a tech-native Tier 1 firm.

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