Sr Manager, Analytics Operations – DevOps

Biopharma Careers; Dublin; On-site; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Annual bonus

Pension contribution

Family health insurance

27 days annual leave

On-site gym access

Job summary

BMS is seeking a Sr Manager, Analytics Operations - DevOps in Dublin to lead DevOps capabilities for analytics, data, AI and ML platforms. You will drive CI/CD, GitOps, IaC, automated testing, and cost-efficient deployment.

The role covers cloud infrastructure, Kubernetes, monitoring, security, and governance for scalable enterprise analytics products. You'll collaborate with DataOps, MLOps and application support teams, manage partnerships across time zones, and guide teams to optimize

Qualifications

• Bachelor's degree or higher in CS/IT/Engineering or related field.
• 8+ years in DevOps, Cloud Engineering, Infrastructure/Platform Engineering.
• Strong experience with AWS cloud services.
• Expertise in CI/CD pipelines and deployment automation.
• Experience with Kubernetes, Docker, and containerized architectures.
• Experience with Infrastructure as Code using CloudFormation or similar.
• Experience implementing monitoring/observability (Grafana, CloudWatch).
• Strong scripting using Python, Bash, or PowerShell.
• Experience supporting mission-critical production systems.

Responsibilities

• Lead DevOps capabilities for analytics, data, AI, and ML platforms to enable reliable operations at scale.
• Drive adoption of CI/CD, GitOps, IaC, and automated testing.

Skills

DevOps experience

AWS

CI/CD

Kubernetes

Docker

Infrastructure as Code

Observability

Python scripting

Production systems

Education

Bachelor's degree in CS/IT/Engineering

Tools

CloudFormation

Job description

Job Summary:

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.

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.

Qualifications

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.
• Experience supporting mission-critical production systems.

Preferred

• Experience supporting AI/ML, MLOps, DataOps, or GenAI platforms.
• Experience with Databricks, MLflow, SageMaker or similar technologies.
• Knowledge of healthcare, pharmaceutical, biotechnology, or regulated environments.
• AWS Professional, Kubernetes, or DevOps certifications.

Why you should apply

• You will help patients in their fight against serious diseases
• You will be part of a company that encourages excellence and innovation, respects diversity, develops leaders and values its employees.
• You’ll get a competitive salary and a great benefits package including, but not only, an annual bonus, pension contribution, family health insurance, 27 days of annual leave , access to BMS Cruiserath on-site gym and life assurance

How We Work

Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [e-mail] . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection .

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If this posting is missing required information required by local law or incorrect, contact BMS at [e-mail] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1605713 : Sr Manager, Analytics Operations - DevOps