Analytics Engineering Manager: Data Architecture & Insights

Bristol Myers Squibb; Harvard (MA); Hybrid; USD 106,000 - 129,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Support

401(k) plan

Disability & Life Insurance

Paid Time Off

Job summary

Bristol Myers Squibb invites applicants for the Manager of Analytics Engineering to design and maintain core data models and data-layer infrastructure. The role emphasizes scalable, well-documented data models and pipelines with self-service analytics across the organization.

The ideal candidate bridges data engineering and analytics, focusing on data architecture, quality, and governance, with strong communication to stakeholders across teams. This is a hybrid role based in Devens, MA.

Qualifications

• BA/BS or higher required.
• Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred.
• Proficiency with SQL.
• Experience scripting (e.g. Python/R).
• Working knowledge of DAG-based and asset-based pipeline design.
• Experience with version control (e.g. Git, SVN) and Agile development.
• Proven analytical and problem-solving ability.
• Experience working in or alongside agile/scrum teams highly desired.
• Expertise gathering requirements to understand business needs and define technical solutions.
• Excellent communications and presentation skills. Ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
• Hands-on experience with dbt a plus.
• Familiarity with our toolkit desired: JIRA, Confluence, ServiceNow, MS suites; Databricks, DBT.

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.
• Incorporating domain-specific data marts into a centralized, foundational core.
• Harmonize data across manufacturing sites, software, and platforms for enterprise-level consumption.
• Designing highly organized and scalable architectural solutions to drive efficiency.
• Define orchestration strategies across multiple data domains.
• Work within a governed metadata framework where documentation is a delivery requirement.
• Work within Data Build Tool (dbt) to deliver documented, tested, and DRY code.
• Follow analytical lifecycle process and quality frameworks to deliver accurate data to internal consumers on-time.
• Focus on innovative solutions to increase speed-to-delivery and accelerate business decision-making.

Skills

SQL

Python/R

Data modeling

Git/SVN

Agile

Requirements gathering

Communication

Problem solving

dbt

Data governance

Education

BA/BS or higher

Fields: CS/Physics/Math/Data Science/Engineering

Tools

JIRA

Confluence

ServiceNow

MS Suite

Databricks

DBT

Job description

Bristol Myers Squibb invites applicants for the Manager of Analytics Engineering to design and maintain core data models and data-layer infrastructure. The role emphasizes scalable, well-documented data models and pipelines with self-service analytics across the organization.

The ideal candidate bridges data engineering and analytics, focusing on data architecture, quality, and governance, with strong communication to stakeholders across teams. This is a hybrid role based in Devens, MA.