Director, AI-Powered Analytics Engineering (Remote)

Novartis; United States; On-site; USD 195,000 - 361,000; Full time

Job summary

Novartis is seeking a Director, Analytics Engineering to lead next‑generation, AI‑powered data pipelines and scalable repositories that empower enterprise data science. You will drive self‑service analytics via feature stores, oversee governance, and partner with IT to optimize ML workloads. This remote role offers travel and requires 20% travel.

The position provides a competitive compensation package and benefits, with opportunities to shape analytics strategy across the organization.

Qualifications

• Advanced degree in Computer Science, Data Engineering, or related field.
• 7+ years of experience 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 modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery).
• Strong 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 feature stores enabling reusable features across models and use cases.
• Create curated data repositories for training, evaluation, and serving in ML workflows.
• Develop automated feature engineering pipelines with data lineage.
• Collaborate with Enterprise IT to optimize analytics architecture for high-performance ML workloads.
• Integrate diverse data sources (sales, CRM, claims, real-world data, unstructured data) into pipelines.
• Create self-service data access layers for self-serve data querying.
• Establish SLAs and implement data monitoring and observability.

Skills

Python

SQL

Spark/PySpark

Airflow

Prefect

dbt

Databricks

Feast

Tecton

SageMaker FS

Databricks FS

Education

Advanced degree in Computer Science or Data Engineering

Tools

Python

Job description

Novartis is seeking a Director, Analytics Engineering to lead next‑generation, AI‑powered data pipelines and scalable repositories that empower enterprise data science. You will drive self‑service analytics via feature stores, oversee governance, and partner with IT to optimize ML workloads. This remote role offers travel and requires 20% travel.

The position provides a competitive compensation package and benefits, with opportunities to shape analytics strategy across the organization.