Manager, Cloud FinOps Engineer

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position Summary:

The Cloud FinOps Engineer is an IT and cloud engineering role responsible for enabling cost‑efficient, scalable, and well‑governed cloud usage across BMS’s multi‑cloud platforms (AWS, Azure, GCP). This role applies FinOps principles through technology, automation, and platform design, rather than traditional financial execution.

The engineer works within the Cloud / SRE / Platform organization, embedding cost visibility, optimization, and governance directly into cloud architectures, infrastructure‑as‑code, CI/CD pipelines, and operational workflows. The position focuses on building and operating technical solutions for cost allocation, tagging enforcement, anomaly detection, optimization insights, and reporting—ensuring these capabilities are reliable, scalable, and consumable by engineering and application teams.

The Cloud FinOps Engineer partners closely with SRE, Platform Engineering, Security, Network, Application Owners, and Finance, translating cloud usage and architectural decisions into actionable insights and automated controls that improve efficiency and value realization across BMS.

Key Responsibilities:

Cloud Operations & FinOps Engineering:

Perform day‑to‑day cloud cost and usage analysis across AWS, Azure, and GCP, focusing on tagging enforcement, anomaly detection, and optimization follow‑up.

Operate and enhance cloud cost observability solutions, including dashboards, scorecards, unit‑economics views, and usage trends.

Investigate cost spikes and usage anomalies by correlating architecture, utilization, and operational events.

Ensure continuous operational coverage by identifying gaps in cost governance processes and implementing technical improvements

Platform Enablement & Stakeholder Engagement:

Serve as a technical point of contact for cloud consumers and application teams, translating cost, utilization, and architectural patterns into clear engineering guidance.

Facilitate recurring cloud consumption and optimization reviews, focusing on how design choices impact scalability, reliability, and cost.

Influence teams across IT to adopt engineering‑led FinOps best practices, embedded into provisioning, deployment, and runtime operations.

Partner with Finance teams by providing reliable cloud cost data, tooling, and automation, while ownership remains within IT.

Cost Optimization & Engineering Execution:

Independently analyze cloud usage to identify waste, inefficiencies, and optimization opportunities, including:

o Compute and database rightsizing

o Storage tiering and lifecycle policies

o Kubernetes and container cost drivers

o Data transfer and networking patterns

Lead small‑to‑medium engineering‑driven optimization initiatives, ensuring measurable and sustainable impact.

Support commitment strategies (Savings Plans, Reserved Instances, CUDs) through data analysis and tooling enablement.

Promote a shift from reactive cost reduction to continuous, automated optimization.

Automation, Tooling & Infrastructure as Code:

Build and maintain automation solutions using Python to improve accuracy, speed, and scalability of FinOps operations.

Develop solutions in AWS using services such as:

o AWS Lambda o Databases (RDS, DynamoDB, Redshift)

o Step Functions

Create and manage CloudFormation templates and support infrastructure‑as‑code standards.

Integrate cost controls, tagging validation, and reporting into CI/CD pipelines.

Leverage APIs and scripting to automate:

o Cost anomaly reporting

o Scheduled usage and spend analysis

o Data ingestion from cloud billing systems

(Optional) Contribute to or enhance Auto Remediation Frameworks to correct inefficient or non‑compliant configurations.

Identity, Governance & Compliance Enablement:

Apply knowledge of Identity and Access Management (IAM), especially role‑based access, to support secure and accountable cloud usage.

Ensure cost attribution and ownership data are technically enforced and auditable.

Support compliance and audit needs by enabling system‑generated evidence and traceability.

Collaborate with Security and Compliance teams to embed FinOps controls into platform standards.

Collaboration & Cross‑Team Alignment:

Work with SRE, Security, Network, Engineering, Product, and Procurement teams to integrate cost considerations into technical decisions.

Represent the FinOps engineering function on cross‑functional initiatives.

Communicate complex technical and cost‑related concepts clearly across engineering, operational, and leadership audiences

Qualifications & Experience Required:

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or 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:

o Compute (EC2, VMs, Kubernetes)

o Storage (S3, Blob, GCS)

o Databases (RDS, DynamoDB, SQL)

o Networking (data transfer, load balancers)

Hands‑on experience with Python, including writing clean, efficient, maintainable code.

Experience with: BMS Internal o AWS services (Lambda, databases, Step Functions)

o CloudFormation

o CI/CD pipeline concepts

Strong data and analytics skills, including:

o Advanced Excel

o SQL

o Cost modeling and analysis

Experience with data visualization tools (Power BI, Tableau, QuickSight).

Working knowledge of GitHub and version control practices.

Understanding of tagging strategies, cost allocation, and showback/chargeback models.

Ability to independently scope and deliver moderately complex technical solutions.

Strong communication and collaboration skills

Preferred:

FinOps Certified Practitioner or Analyst certification.

Experience with cloud billing and cost tools:

o AWS Cost Explorer, CUR, Billing Conductor, Budgets

o Azure Cost Management

o GCP Billing exports

o Enterprise tools (Apptio Cloudability, Flexera, Finout)

Experience with Python and React for internal tools or dashboards.

Understanding of Savings Plans, Reserved Instances, and commitment strategies.

Familiarity with monitoring/observability tools (CloudWatch, Datadog, Prometheus, Grafana).

Experience working in large enterprise or regulated environments.

Familiarity with Auto Remediation Frameworks.

#AICP

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Compensation Overview:

• Princeton - NJ - US: $119,430 - $144,715 

• The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits:

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support,