Director Analytics Infrastructure, Pipeline Operations

Novartis

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$194,600–$361,400 / yr
Posted
45 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $231k
This role $278k
$147k most similar roles pay here $384k

This role pays more than 79% of similar roles. Most pay $188,335–$273,317 — the shaded band above. At the midpoint, this role pays about $278k versus about $231k for comparable roles.

Based on 240 similar postings.

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 26 open roles on FindRole.

Listed pay typically runs $194,600–$361,400 across 26 roles with salary data.

Most-posted roles

View all roles at Novartis

At a glance

TL;DR · Director Analytics Infrastructure, Pipeline Operations

The Director Analytics Infrastructure, Pipeline Operations leads the development of next-generation, AI-powered automated data pipelines and scalable repositories to enable enterprise data science. This role involves building self-healing pipelines with automated quality monitoring, creating centralized feature stores for model reusability, and developing curated datasets for training and production serving. The position focuses on transforming diverse sources like sales, CRM, and patient claims into analytics-ready features while establishing strict SLAs for data availability and quality. Key technologies include Python, SQL, Spark/PySpark, and orchestration tools such as Airflow, Prefect, or dbt. Candidates must possess expertise in platforms like Databricks, Snowflake, BigQuery, and feature stores like Feast or Tecton. The work addresses the technical challenge of providing self-service data access for both expert and citizen data scientists within the pharmaceutical and life sciences domain.

What you'll do

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

What we're looking for

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

More like this

Similar roles

Director Analytics Infrastructure, Pipeline Operations

Novartis

Remote 45 days ago $194,600$361,400
Python SQL Spark PySpark Databricks Snowflake BigQuery Airflow Prefect dbt CI/CD Feature Stores MLOps Data Lakehouse GenAI Machine Learning Artificial Intelligence Data Governance HIPAA GDPR
10+ yrs exp Remote

Director, Analytics Standards & Impact Measurement

Novartis

Remote 45 days ago $194,600$361,400
Artificial Intelligence Machine Learning Data Science Predictive Modeling Causal Inference Experimental Design Statistical Analysis Time Series Analysis Deep Learning NLP GenAI Data Governance Lift Analysis HIPAA GDPR
10+ yrs exp Remote

Director, Analytics Standards & Impact Measurement

Novartis

Remote 45 days ago $194,600$361,400
Artificial Intelligence Machine Learning Data Science Predictive Modeling Causal Inference Experimental Design Statistical Analysis Time Series Analysis Data Governance Lift Analysis Incrementality Measurement HIPAA GDPR Agile
10+ yrs exp Remote

Director, Advanced Analytics Architecture & Operations

Gilead Sciences

Foster City, CA 45 days ago $226,185$292,710
GenAI MLOps Python Databricks Infrastructure-as-Code Machine Learning Agile Relational Databases High Performance Compute Data Science Analytics Platforms open-source Automation Software Engineering

Director of Enterprise Pipeline Engineering & Automation

PNC

Pittsburgh, PA +4 99 days ago $125,000$264,000
CI/CD Infrastructure as Code Software Engineering Pipeline Engineering Configuration Management System Integration Information Security IT Architecture Network Administration Software Testing System Administration IT Service Management (ITSM)
8+ yrs exp