Associate Director, Analytics Automation & Reusability

Job Description Summary

Job Description

Key Responsibilities

• Design and implement workflow automation solutions for AI/ML and analytics processes (Airflow dbt Azure Data Factory).
• Build CI/CD pipelines for data science code enabling automated testing deployment and monitoring of ML models.
• Design MLOps infrastructure to streamline the model development validation and deployment lifecycle.
• Build and maintain a library of reusable AI/ML components (feature engineering modules model templates prediction pipelines visualization templates).
• Create standardized notebooks scripts and dashboards for common data science use cases that can be easily adapted for new projects.
• Build tools and platforms that enable business users and citizen data scientists to access AI/ML capabilities without engineering support.
• Implement automated testing frameworks for data science code (unit tests integration tests model validation tests regression tests).
• Work with Infrastructure team to optimize performance and resource utilization of automated AI/ML solutions.

Essential Requirements:

• Advanced degree in Computer Science Data Science Statistics or related field; or Bachelors degree with 8 years relevant experience.
• 8 years of experience in analytics engineering data engineering or software engineering roles.
• 3 years of experience leading technical projects or small teams.
• Experience with workflow orchestration tools (Airflow Prefect dbt) and CI/CD tools (GitHub Actions Jenkins).
• Knowledge of MLOps principles and tools (MLflow Kubeflow SageMaker).
• Experience with testing frameworks and code quality tools.
• Excellent documentation and communication skills.

Desired Requirements:

• Experience in pharmaceutical healthcare or regulated industries.
• Background in both analytics/data science and software engineering best practices.
• Creative problem-solver who can identify opportunities for automation and reusability.
• Strong systems thinking with ability to design scalable maintainable solutions.
• Experience building internal tools and platforms used by diverse user groups including citizen data scientists.

Novartis Compensation Summary:

The salary for this position is expected to range between $145600 and $270400 per year.

The final salary offered is determined based on factors like but not limited to relevant skills and experience and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and depending on the level of the role eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health life and disability benefits a 401(k) with company contribution and match and a variety of other addition employees are eligible for a generous time off package including vacation personal days holidays and other leaves.

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment hiring training promotion or other employment practices for reasons of race color religion sex national origin age sexual orientation gender identity or expression marital or veteran status disability or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If because of a medical condition or disability you need a reasonable accommodation for any part of the application process or to perform the essential functions of a position please send an e-mail to or call 1 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

Skills Desired