Remote Director of AI-Powered Analytics Engineering

U014 (FCRS = US014) Novartis Pharmaceuticals Corporation

United States

Remote

USD 195,000 - 361,000

Full time

14 days+
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Job summary

Novartis Pharmaceuticals Corporation seeks a Director of Analytics Engineering to architect AI-powered data pipelines and enterprise feature stores. You will enable self-service analytics for both expert and citizen data scientists, building scalable datasets for ML models.

You will lead data platform design, partner with IT, and drive governance, security, and compliance in life sciences while managing a distributed team. Remote work within the U.S. is possible.

Qualifications

  • Advanced degree in Computer Science, Data Engineering, or related field.
  • 7+ years in data engineering, ML/AI engineering, or analytics infrastructure.
  • 5+ years leading teams building enterprise-scale data platforms and feature stores.
  • Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store).
  • Deep expertise in data platforms for ML workloads (Databricks, AutoML, Snowflake, BigQuery).
  • Proficiency in Python, SQL, Spark/PySpark for large-scale data processing.
  • Experience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines.
  • Understanding of data governance, privacy (HIPAA, GDPR) and compliance in life sciences.

Responsibilities

  • Design and implement intelligent, self-healing data pipelines using AI/ML for data quality monitoring and remediation.
  • Build and maintain centralized feature stores for model reuse across use cases.
  • Create curated data repositories for training, evaluation, and production serving for data science workflows.
  • Develop automated feature engineering pipelines with lineage tracking.
  • Collaborate with Enterprise IT to optimize analytics platform architecture for ML workloads.
  • Integrate diverse data sources including sales, CRM, claims, real-world data, and unstructured data.
  • Establish SLAs for data availability, freshness, and quality with monitoring and observability.

Skills

Python
SQL
Spark/PySpark
AI/ML concepts
Data governance

Education

Advanced degree in Computer Science/Data Engineering

Tools

Feast
Tecton
SageMaker Feature Store
Databricks Feature Store
Airflow
Prefect
dbt
Databricks
Snowflake
BigQuery

Job description

Novartis Pharmaceuticals Corporation seeks a Director of Analytics Engineering to architect AI-powered data pipelines and enterprise feature stores. You will enable self-service analytics for both expert and citizen data scientists, building scalable datasets for ML models.

You will lead data platform design, partner with IT, and drive governance, security, and compliance in life sciences while managing a distributed team. Remote work within the U.S. is possible.

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