Manager, Cloud FinOps Engineer

Bristol Myers Squibb

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Princeton, NJ
Salary
$119,430–$144,715 / yr
Employment
Full-time
Posted
34 days ago
Freshness
Confirmed live today
Closes
Nov 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k
This role $132k
$106k $244k
below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $157,925–$230,400 — the blue band above. At the midpoint, this role pays about $132k versus about $194k 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 34 open roles on FindRole.

Listed pay typically runs $153,830–$186,404 across 26 roles with salary data.

Most-posted roles

View all roles at Bristol Myers Squibb

At a glance

TL;DR · Manager, Cloud FinOps Engineer

The Manager, Cloud FinOps Engineer joins the Cloud / SRE / Platform organization to enable cost-efficient, scalable, and well-governed cloud usage across multi-cloud platforms including AWS, Azure, and GCP. This role focuses on embedding FinOps principles into cloud architectures, infrastructure-as-code, and CI/CD pipelines. You will build and operate technical solutions for cost allocation, tagging enforcement, anomaly detection, and optimization insights. Key responsibilities include performing day-to-day cost analysis, investigating usage spikes, and developing automation using Python, AWS Lambda, RDS, DynamoDB, and Step Functions. You will utilize CloudFormation, SQL, and data visualization tools like Power BI or Tableau to provide engineering guidance. The role solves the technical challenge of translating architectural decisions into automated controls that improve efficiency and value realization across the enterprise.

What you'll do

  • Perform day-to-day cloud cost and usage analysis across AWS, Azure, and GCP platforms.
  • Operate and enhance cloud cost observability solutions including dashboards, scorecards, and usage trends.
  • Investigate cost spikes and usage anomalies by correlating architecture, utilization, and operational events.
  • Build and maintain automation solutions using Python to improve the speed and scalability of FinOps operations.
  • Develop CloudFormation templates and integrate cost controls and tagging validation into CI/CD pipelines.
  • Identify waste and inefficiencies in compute, database, storage, and networking patterns to lead optimization initiatives.
  • Provide reliable cloud cost data and technical guidance to Finance, SRE, and application engineering teams.
  • Enforce cost attribution and ownership data through technical controls and automated governance processes.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related technical field.
  • 4–5+ years of experience in cloud engineering, platform operations, SRE, FinOps engineering, or cloud operations roles.
  • Strong understanding of cloud platforms and cost drivers including compute, storage, databases, and networking.
  • Hands-on experience with Python for writing clean, efficient, and maintainable code.
  • Experience with AWS services (Lambda, databases, Step Functions), CloudFormation, and CI/CD pipeline concepts.
  • Strong data and analytics skills including advanced Excel, SQL, cost modeling, and analysis.
  • Experience with data visualization tools such as Power BI, Tableau, or QuickSight.
  • Working knowledge of GitHub, version control, tagging strategies, and cost allocation models.
  • FinOps Certified Practitioner or Analyst certification (preferred).
  • Experience with cloud billing tools like AWS Cost Explorer or Azure Cost Management (preferred).
  • Experience with Python and React for internal tools or dashboards (preferred).
  • Familiarity with monitoring tools like CloudWatch, Datadog, Prometheus, or Grafana (preferred).
  • Experience working in large enterprise or regulated environments (preferred).

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