Novartis

Novartis

Director Analytics Infrastructure, Pipeline Operations

Remote Position (USA) · Director

Sponsorship not specifiedDetected 80 days ago
PythonAlgorithmsSQLBigQuerySnowflakeDatabricksCI/CDMachine LearningDeep LearningSparkAirflowdbtData EngineeringData ScienceData VisualizationNLPMLOpsStatisticsComplianceCRMHIPAAResearchMentoring

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odds of building a lasting career here

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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • Please note that this role would not provide relocation as a result.

Responsibilities

  • 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.
  • 5+ years leading teams building enterprise-scale data platforms and feature stores.
  • We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

Requirements

  • Advanced degree in Computer Science, Data Engineering, or related field;
  • 10+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure.
  • 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.
  • Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store).
  • Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture.

Skills

  • Job Description Summary
  • Novartis has an exciting opportunity for a Director, Analytics Infrastructure & Pipeline Operations.
  • This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity).
  • The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager.
  • This position will require 20% travel.
  • Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability).

Compensation

  • 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.
  • $194,600.00 - $361,400.00

Benefits

  • 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

Equal opportunity

  • The Novartis Group of Companies are Equal Opportunity Employers.
  • The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities.
  • EEO Statement:

Visa & Work Authorization

  • eates 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
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This listing is sourced directly from Novartis's careers page and normalized into a canonical job model.