Director, Analytics Engineering (2 Openings)

U014 (FCRS = US014) Novartis Pharmaceuticals Corporation; United States; Remote; USD 195,000 - 361,000; Full time

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

Job Description Summary

Novartis has an exciting opportunity for a Director, Analytics Engineering. This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science and analytics at scale. By leveraging advanced AI technologies, modern data engineering tools, and feature engineering platforms, this director creates self-service, analytics-ready datasets and enterprise feature stores that empower both expert data scientists and citizen data scientists to rapidly develop, deploy, and scale models. This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel. There are 2 positions available.

Job Description Major accountabilities

• 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.

Essential Requirements

• 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, AutoML, 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.

Preferred Qualities

• Proven track record of implementing AI/ML-powered automation in data engineering workflows.
• Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability).
• Builder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering.
• Experience in pharmaceutical, healthcare, or life sciences industry.
• Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture.

Skills Desired

• Artificial Intelligence (AI)
• Business Value Creation
• Change Management
• Curious Mindset
• Data Governance
• Data Literacy
• Data Quality
• Data Science
• Data Visualization
• Deep Learning
• Learning Agility
• Machine Learning (ML)
• Machine Learning Algorithms
• Mentorship
• Stakeholder Engagement
• Statistical Analysis
• Time Series Analysis

Novartis Compensation Summary

The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits.

In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Salary Range $194,600.00 - $361,400.00

EEO Statement

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [e-mail] or call [phone] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

China policy note

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