Sr Manager, Analytics Operations – DevOps

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.

The Sr Manager, Analytics Operations – DevOps is responsible for establishing and leading DevOps 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 DevOps 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. DevOps & CI/CD Drive adoption of modern engineering practices including CI/CD, GitOps, 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. Cloud Infrastructure & Platform Engineering 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 CloudFormation or similar technologies. Operations 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 DataOps, MLOps, AI Operations, and application support teams. Monitor infrastructure utilization and cloud spending. Identify opportunities for cost optimization and operational efficiency. Security, Compliance & Governance 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. People skills Promote collaboration across global teams and time zones.

Required Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline. 8+ years of experience in DevOps, 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 CloudFormation. Experience implementing monitoring and observability solutions such as Grafana, CloudWatch Strong scripting and automation skills using Python, Bash, or PowerShell.