Director Analytics Infrastructure, Pipeline Operations

Novartis UK

East Hanover, NJ, US
Base: $194,600 - $361,400 py; bonus/equity: perfor...
Hybrid
10+ years data engineering experience
5+ years leading enterprise data teams
Expertise in feature store technologies
This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science at scale

Job Summary

  • This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science at scale.
  • The position requires designing intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation.
  • Compensation includes a performance-based cash incentive, eligibility for annual equity awards, and a comprehensive benefits package including health, life, disability, and 401(k) matching.

Matching Summary

This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science at scale.

Salary

Base: $194,600 - $361,400 per year; Bonus/Equity: Performance-based cash incentive and annual equity awards eligible; Benefits: Health, life, disability, 401(k) match, generous time off

Skills & Requirements

Must-have

  • 10+ years data engineering experience
  • 5+ years leading enterprise data teams
  • Expertise in feature store technologies
  • Proficiency in Python SQL Spark PySpark
  • Experience with Databricks Snowflake BigQuery
  • Knowledge of Airflow Prefect dbt CI/CD

Nice-to-have

  • AI/ML-powered automation implementation
  • Strategic balance of innovation and stability
  • Self-service capability builder mindset
  • Experience in pharmaceutical industry
  • Streaming technologies and MLOps knowledge
  • Data lakehouse architecture expertise

Key Requirements

  • Advanced degree in Computer Science or related field
  • 10+ years experience in data engineering or ML/AI
  • 5+ years leading teams building enterprise platforms
  • Understanding of HIPAA GDPR compliance in life sciences

Work Rights

Not specified

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