Sr Manager, Analytics Operations – DevOps

Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job, but working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this work transforms the lives of patients and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high‑achieving teams.

Take your career farther than you thought possible.

Sr Manager, Analytics Operations – Dev Ops

The Sr Manager, Analytics Operations – Dev Ops is responsible for establishing and leading Dev Ops capabilities that enable the reliable, secure, scalable, and cost‑effective operation of Analytics, Data, AI, and Machine Learning platforms and products. This role combines technical leadership, operational excellence, cloud engineering, automation, observability, and team management to ensure enterprise analytics solutions can be deployed, monitored, and supported at scale.

The ideal candidate possesses deep expertise in Dev Ops practices, cloud infrastructure, Infrastructure as Code (IaC), CI/CD automation, platform engineering, and Site Reliability Engineering (SRE). They will partner closely with product teams, data engineers, AI/ML engineers, architects, cybersecurity teams, and business stakeholders to accelerate delivery while maintaining operational stability and compliance.

• Drive adoption of modern engineering practices including CI/CD, Git Ops, Infrastructure as Code, and automated testing.
• Partner with architecture teams to ensure solutions are designed for operational scalability and maintainability.
• Build and maintain automated pipelines for analytics assets, applications, data pipelines, and AI/ML solutions.
• Implement automated testing, deployment, validation, and rollback capabilities.
• Improve software delivery velocity while reducing deployment risks and failures.

• Design, implement, and manage cloud‑native infrastructure primarily on AWS.
• Develop scalable, secure, and resilient platform capabilities supporting Analytics, Data, and AI workloads.
• Manage Kubernetes environments, container platforms, networking, storage, and compute services.
• Maintain Infrastructure as Code solutions using Cloud Formation or similar technologies.

• Establish monitoring, logging, alerting, and observability frameworks.
• Develop dashboards and metrics that provide operational visibility into platform and product health.
• Enable deployment and operation of analytics products, machine learning models, GenAI solutions, and data platforms.
• Collaborate with Data Ops, MLOps, AI Operations, and application support teams.
• Monitor infrastructure utilization and cloud spending. Identify opportunities for cost optimization and operational efficiency.

• Partner with cybersecurity and compliance teams to implement security‑by‑design principles.
• Ensure infrastructure and deployment processes align with enterprise security standards.
• Manage IAM, secrets management, vulnerability remediation, patching, and audit readiness.
• Support validation and compliance requirements for regulated environments.

• Promote collaboration across global teams and time zones.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline.
• 8+ years of experience in Dev Ops, Cloud Engineering, Infrastructure Engineering, or Platform Engineering.
• Strong experience with AWS cloud services.
• Expertise in CI/CD pipelines and deployment automation.
• Experience with Kubernetes, Docker, and containerized architectures.
• Expertise with Infrastructure as Code frameworks such as Cloud Formation.
• Experience implementing monitoring and observability solutions such as Grafana, Cloud Watch.
• Strong scripting and automation skills using Python, Bash, or Power Shell.
• Experience supporting mission‑critical production systems.

• Experience supporting AI/ML, MLOps, Data Ops, or GenAI platforms.
• Experience…