Remote Director of AI Analytics & Data Pipelines

Novartis; United States; A distancia; USD 195.000 - 361.000; Jornada completa

Descripción de la vacante

Novartis is seeking a Director, Analytics Engineering to design and scale AI-powered data pipelines and enterprise feature stores that empower data science at scale. This role focuses on self-service analytics, robust data governance, and production-grade platforms supporting both expert and citizen data scientists.

The position offers remote work within the United States, with travel as defined by the hiring manager and a 20% travel expectation noted in the listing.

Formación

• 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 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.

Responsabilidades

• Design and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation.
• Build and maintain centralized feature stores that enable feature reusability across multiple models and use cases.
• Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers.
• Develop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking.
• Partner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads.
• Build automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data.
• Create self-service data access layers that empower data scientists and analysts to query and extract data independently.
• Establish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions.

Conocimientos

Python

SQL

Spark/PySpark

Airflow

dbt

Data governance

Data privacy (HIPAA, GDPR)

Team leadership

Enterprise data platforms

Feature stores

Educación

Advanced degree in Computer Science or Data Engineering

Herramientas

Feast

Tecton

SageMaker Feature Store

Databricks Feature Store

Databricks

Snowflake

BigQuery

Airflow

dbt

Descripción del empleo

Novartis is seeking a Director, Analytics Engineering to design and scale AI-powered data pipelines and enterprise feature stores that empower data science at scale. This role focuses on self-service analytics, robust data governance, and production-grade platforms supporting both expert and citizen data scientists.

The position offers remote work within the United States, with travel as defined by the hiring manager and a 20% travel expectation noted in the listing.