Jobs / United States / Novartis Pharmaceuticals Corporation
Dir, Innovative Enterprise Data Product Lead
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 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. Job description summary This Director role sits within Data Products and Foundations, under Data Partnerships, Innovation and Products. The role reports to the Executive Director, Innovative Data Offerings and Products and partners closely with DEO (Data Enablement Organization) to execute the strategy set for trusted, reusable, AI-ready data products. This role owns enterprise data foundations across reference data, master data, metadata, standards, stewardship, and business definitions, defining the vision, roadmap, prioritization, adoption plan, and value measures needed to improve data trust, consistency, discoverability, interoperability, metadata coverage, standards adoption, and AI-ready enterprise foundations. The Director will ensure products are defined in innovative ways that go beyond datasets, embedding business meaning, rules, metrics, lineage, metadata, and context so they can be reused by business users, analytics teams, and AI-enabled solutions. Job Description Key Responsibilities: • Own the product strategy, roadmap, prioritization, and lifecycle management for Reference Data, Master Data, Metadata, Standards. • Define products in innovative ways by embedding business meaning, semantic definitions, reusable measures, standards, metadata, lineage, and clear consumption patterns directly into the product design. • Work closely with DEO (Data Enablement Organization) to translate the strategy into executable plans, align on delivery priorities, remove operational barriers, and ensure products are scalable, reliable, and ready for enterprise consumption. • Partner across business, analytics, technology, Data Partnerships, Innovation and Products, and Data Products and Foundations teams to prioritize high-value capabilities and reduce duplication. • Drive product adoption, stakeholder engagement, product performance management, issue prioritization, and continuous enhancement based on business needs and user feedback. • Establish product standards, governance routines, intake processes, service expectations, and value measures that ensure reliability, reuse, compliance, scalability, and business impact. Experience: Novartis is seeking an experienced Director to lead product strategy, delivery, adoption, and governance for Payer, HCP, Omnichannel, Engagement. The ideal candidate brings product leadership, cross-functional influence, and the ability to partner with DEO to execute strategy while translating business priorities into trusted, reusable, AI-ready data products. Essential Requirements: • Education: Bachelor's degree in related field is required; Master of Science and/or MBA strongly preferred • Minimum 10+ years of experience in pharmaceutical, healthcare, technology, data, analytics, or consulting, with a strong focus on data products, data strategy, product management, or analytics enablement. • Minimum 5+ years of domain expertise in reference data, master data, metadata management, data standards, data governance, stewardship, semantic models, product management, and AI-ready data foundations. • Proven ability to define product vision, roadmap, prioritization, use cases, adoption plans, value measures, and governance routines in a complex matrixed environment. • Strong understanding of semantic data products, business definitions, data quality, metadata, lineage, standards, and AI-ready data consumption patte