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 Fin Ops 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 Fin Ops 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 Fin Ops 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 & Fin Ops 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 Fin Ops 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 Fin Ops operations.

• Develop solutions in AWS using services such as:

o AWS Lambda o…