Analytics Engineering Manager (Remote)

Bristol Myers Squibb; New Brunswick (NJ); On-site; USD 116,000 - 141,000; Full time

Benefits offered by this job

Flexible Time Off

11 paid company holidays

Volunteer days

Job summary

Bristol Myers Squibb is seeking a Manager of Analytics Engineering in the New Brunswick, NJ area to lead hands-on data modeling, core data layer infrastructure, and scalable pipelines. You will enable self-service analytics and govern data architecture across multiple domains.

The role requires strong SQL, Python/R, and experience with dbt and Databricks, plus collaboration with agile teams to deliver well-documented, tested code and robust data products for the business.

Qualifications

• BA/BS or higher in Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering.
• 4–6 years of relevant work experience.
• Proficiency with SQL.
• Experience scripting (Python/R).
• Working knowledge of DAG-based and asset-based pipeline design.
• Experience with version control (Git, SVN) and Agile development.
• Excellent communications and presentation skills.

Responsibilities

• Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making.
• Develop a centralized data-layer to deliver data-products at scale to the business.
• Harmonize data across manufacturing sites, software, and platforms for enterprise-level consumption.
• Design scalable architectural solutions to drive efficiency.
• Define orchestration strategies across multiple data domains.

Skills

SQL

Python/R

Version control

Agile development

Education

BA/BS or higher in CS/Math/Data Science/Engineering

Tools

dbt

Databricks

Git

JIRA

Confluence

ServiceNow

Job description

Bristol Myers Squibb is seeking a Manager of Analytics Engineering in the New Brunswick, NJ area to lead hands-on data modeling, core data layer infrastructure, and scalable pipelines. You will enable self-service analytics and govern data architecture across multiple domains.

The role requires strong SQL, Python/R, and experience with dbt and Databricks, plus collaboration with agile teams to deliver well-documented, tested code and robust data products for the business.