Novartis Group Companies

Novartis Group Companies

Associate Director, Analytics Automation & Reusability

Remote Position (USA) · Director

Sponsorship not specifiedDetected 2 days ago
PythonRAlgorithmsGitSQLAzureCI/CDGitHub ActionsJenkinsMachine LearningDeep LearningPandasAirflowdbtData EngineeringData ScienceData VisualizationNLPMLOpsAI OrchestrationStatisticsTest AutomationResearchCommunication

About the role

  • Please note that this role would not provide relocation as a result.

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.
  • 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.

Requirements

  • Advanced degree in Computer Science, Data Science, Statistics, or related field
  • or Bachelor's 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.

Skills

  • Job Description Summary
  • This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity).
  • The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager.
  • This position will require 20% travel.

Compensation

  • The salary for this position is expected to range between $176,400 and $327,600 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.
  • $176,400.00 - $327,600.00

Benefits

  • Experience in pharmaceutical, healthcare, or regulated industries.
  • 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 benefits.
  • In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Equal opportunity

  • The Novartis Group of Companies are Equal Opportunity Employers.
  • We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
  • Accessibility and reasonable accommodations
  • The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities.

Visa & Work Authorization

  • eader dramatically increases the speed and consistency of analytics delivery while reducing technical debt and enabling citizen data scientists to leverage enterprise-grade
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This listing is sourced directly from Novartis Group Companies's careers page and normalized into a canonical job model.