Jobs / United States / Novartis Pharmaceuticals Corporation
Director, Analytics Engineering (2 Openings)
Novartis Pharmaceuticals Corporation · 🇺🇸 Remote Position (USA) · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 31 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles23 certified filings for “Director, Forecasting-CV” (Data Scientists) in NJ: $170k–$170k, median $170k. Most were filed at wage level IV (83%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Novartis Pharmaceuticals Corporation
The US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 31 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Novartis Pharmaceuticals Corporation →
About the role
Job Description Summary #LI-Remote 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, Auto ML, 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. 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