Sr Manager, Analytics Operations – DevOps

Job summary

The Sr Manager, Analytics Operations – DevOps is responsible for establishing and leading DevOps capabilities for Analytics, Data, AI, and Machine Learning platforms. This role involves technical leadership, operational excellence, and team management to ensure enterprise analytics solutions are deployed and supported at scale.

Qualifications

• 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 as 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.
• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Skills

Certifications

Degrees

Relocation