Director Analytics Infrastructure, Pipeline Operations

Novartis

East Hanover, US Posted 63 days ago $194,600–$361,400 / year
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At a glance

AI generated

TL;DR

The Director of Analytics Infrastructure & Pipeline Operations at Novartis is responsible for developing next-generation AI-powered data pipelines and scalable repositories to support enterprise-wide data science initiatives. This role involves designing self-healing data pipelines with automated anomaly detection and remediation, building centralized feature stores for model reuse, and creating high-performance analytics platforms optimized for ML workloads. The director will also develop automated feature engineering pipelines, integrate diverse data sources, and establish SLAs for data quality and availability. Essential skills include expertise in feature store technologies like Feast and Tecton, proficiency in Python, SQL, and Spark/PySpark, and experience with data orchestration tools such as Airflow and dbt. The ideal candidate has a background in computer science or related field, extensive experience in data engineering and ML/AI, and knowledge of data governance and compliance in the life sciences industry.

Skills

Python SQL Spark PySpark Airflow Prefect dbt CI/CD Databricks Snowflake BigQuery Feast Tecton SageMaker Feature Store DataBricks Feature Store HIPAA GDPR MLOps Kafka

What you'll do

  • Design and implement AI-powered data pipelines for automated monitoring and remediation.
  • Build centralized feature stores enabling reusability across multiple models and use cases.
  • Create optimized data repositories for training, evaluation, and production serving datasets.
  • Develop automated feature engineering pipelines with lineage tracking for analytics readiness.
  • Partner with IT to optimize platform architecture for high-performance data science workloads.

What we're looking for

  • Advanced degree in Computer Science or related field with 10+ years of data engineering experience.
  • Expertise in building and maintaining enterprise-scale feature stores using AI/ML technologies.
  • Deep knowledge of modern data platforms optimized for ML workloads like Databricks and Snowflake.
  • Strong proficiency in Python, SQL, Spark/PySpark for large-scale data processing and analytics.
  • Experience with data orchestration tools (Airflow, Prefect) and CI/CD practices for data pipelines.
  • Understanding of data governance, privacy regulations (HIPAA, GDPR), and compliance in life sciences.

Market check

Salary context

This $194,600–$361,400 range sits above 90% of similar postings on FindRole.

Peer median band

$154,300–$230,200

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$153,091–$235,000

Middle half of comparable postings.

Based on 238 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Novartis

Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals

Novartis currently has 7 open roles on FindRole.

Listed pay typically runs $194,600–$361,400 across 7 roles with salary data.

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