Director, Data Engineering & Analytics

Bristol Myers Squibb

Quick summary

Work type
On-site
Location
Devens, MANew Brunswick, NJ
Salary
$220,190–$266,822 / yr
Posted
8 days ago
Closes
Jul 31, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $244k
$119k most similar roles pay here $283k

This role pays more than 84% of similar roles. Most pay $135,000–$221,625 — the shaded band above. At the midpoint, this role pays about $244k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.

Bristol Myers Squibb currently has 31 open roles on FindRole.

Listed pay typically runs $137,530–$166,654 across 31 roles with salary data.

Most-posted roles

View all roles at Bristol Myers Squibb

At a glance

TL;DR · Director, Data Engineering & Analytics

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The Director of Data Engineering at BMS will lead the Digital Strategy & Process Optimization team within MS&T, focusing on strategic direction and long-term sustainability of data ecosystems. This senior role involves overseeing a team to design, build, and maintain manufacturing data assets, ensuring robust products and processes through advanced analytics for real-time monitoring and control. The ideal candidate possesses expertise in data engineering, governance, and analytics, with experience in large-scale data processing platforms like Databricks and Spark-based systems. They will work closely with enterprise data science platforms and must be adept at managing GxP-compliant data integrity and security across internal and external manufacturing landscapes, including biologics and pharma processes. This role demands strong leadership skills to collaborate effectively within matrix teams and manage multiple priorities in a fast-paced environment.

Skills

Databricks Spark Domino Data Lab MLOps PI Historian PI Vision Discoverant LIMS DeltaV Syncade MES AWS Azure GCP Kubernetes Terraform Python R SQL PostgreSQL CI/CD Data Governance Data Quality Data Security Scalable Frameworks

What you'll do

  • Establish and communicate long-term vision for MS&T data aligned with enterprise strategies.
  • Oversee architecture and delivery of end-to-end data pipelines forming the PDS Data Spine.
  • Ensure integration across internal manufacturing systems, CMOs, and UDM platforms.
  • Set standards for data quality, harmonization, observability, and lifecycle management.
  • Lead development of advanced analytics tools supporting improvements in manufacturing outcomes.

What we're looking for

  • Extensive leadership experience in delivering enterprise-scale data platforms in regulated environments.
  • Expertise with large-scale data processing platforms like Databricks and Spark-based systems for batch and streaming data engineering.
  • Proven track record of implementing data governance, quality, and security frameworks across complex data ecosystems.
  • Solid technical knowledge of biologics and pharmaceutical manufacturing processes including unit operations.
  • Experience in managing cross-functional teams and collaborating effectively within matrix organizations.

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