Associate Director, Analytics Automation & Reusability
Core
Building tools, frameworks, and accelerators to scale AI, ML, and data science capabilities through automation and reusability, transforming manual analytics into production-grade solutions.
Role type
Associate Director, Analytics Automation & Reusability
Builds
Automated workflow solutions, CI/CD pipelines for data science, MLOps infrastructure, and reusable AI/ML component libraries.
Domain
Pharmaceutical/Healthcare, MLOps, Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Workflow orchestration (Airflow, Prefect, dbt), CI/CD tools (GitHub Actions, Jenkins), MLOps principles (MLflow, Kubeflow, SageMaker), testing frameworks, Python, SQL, R, Pandas
Preferred skills
Experience in regulated industries, systems thinking, internal platform development for citizen data scientists
Technologies
Airflow, dbt, Azure Data Factory, GitHub Actions, Jenkins, MLflow, Kubeflow, SageMaker, Python, R, SQL, Pandas
Responsibilities
Design and implement workflow automation for AI/ML processes; Build CI/CD pipelines for automated testing and deployment of ML models; Design MLOps infrastructure for model lifecycle management; Build and maintain libraries of reusable AI/ML components; Create standardized notebooks and dashboards for common use cases; Implement automated testing frameworks for data science code.
Seniority
Senior, hands-on IC with leadership responsibilities
