Senior Manager: Knowledge Systems
Core
Managing the Analytics Assets Life Cycle, ensuring reliable deployment, monitoring, and automation of data models, ML, and AI in production for drug development and supply chain stakeholders.
Role type
Senior Manager, MLOps & Analytics Infrastructure
Builds
Production-ready analytics assets (data models, ML, AI) and automated CI/CD pipelines for the Product Development and Supply organization.
Domain
Pharmaceutical supply chain and drug development analytics
Deliverable
production ML models
Required skills
MLOps, model lifecycle management, Python, PySpark, SQL, Bash/PowerShell, TensorFlow, PyTorch, scikit-learn, AWS/Azure/GCP, Docker, Kubernetes, Jenkins, GitLab CI, CloudWatch, Grafana, ELK stack
Preferred skills
None stated
Technologies
Python, PySpark, SQL, Bash, TensorFlow, PyTorch, scikit-learn, AWS, Azure, Google Cloud, Docker, Kubernetes, Jenkins, GitLab CI, CircleCI, Git, CloudWatch, Grafana, ELK stack
Responsibilities
Deploy and maintain analytics assets in production; set up continuous integration pipelines for automated testing and deployment; implement automated monitoring and alerting systems; collaborate with data engineers and scientists on model integration; troubleshoot deployment and performance issues; develop governance policies for data and model management.
Seniority
Senior, hands-on IC with team management
