Jobs / United States / Novartis Pharmaceuticals Corporation
AD, Data Partnerships - Rare Disease
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 The Data Innovation, Partnerships and Products team, under the Data Products and Foundations pillar within Strategy, Platforms and Transformation, enables improved decision-making at Novar-tis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. The Associate Director, Data Partnerships - Rare Disease will play a critical role in establishing, managing, and strengthening rare disease-focused data partnerships that support the US Commercial organization and advance priority business needs across rare dis-ease brands, customer engagement, patient access, patient finding, and field execution. This role is responsible for overseeing Novartis’ strategic rare disease data partnerships within SPT to ensure compliance, quality, business relevance, and effective use of external data assets. The Associate Director will bring depth in healthcare and rare disease data, including experience working with or for a data vendor, and will help implement the data partnership strategy, monitor spend and partnership performance, enforce data stewardship practices, and partner with internal teams to identify the most relevant rare disease data sets to support business needs and data-driven decision-making. Job Description Key Responsibilities: • Implement the organization’s rare disease data partnership strategy, including the identification of critical data needs across US Commercial rare disease brands, functions, and priority use cases. • Establish, manage, and strengthen strategic rare disease data partnerships with external data providers, platforms, and vendors to maximize the value of external rare disease data assets. • Apply deep understanding of rare disease data sources, vendor capabilities, data limitations, patient identification challenges, and fit-for-purpose use cases to guide partnership decisions and business recommendations. • Monitor adherence to data quality, security, privacy, and compliance standards for external rare disease data sources, platforms, and vendors, ensuring alignment with regulatory requirements and internal data management policies. • Collaborate with data vendors, business stakeholders, analytics teams, field enablement, access, patient services, and cross-functional rare disease teams to address data quality issues and communicate corresponding changes. • Implement oversight mechanisms for external rare disease data partnerships, ensuring compliance with data standards, data-sharing agreements, governance expectations, and internal policies. • Implement data stewardship practices across platforms, vendors, and technology solutions to verify that rare disease data is properly managed, governed, and leveraged throughout the partnership lifecycle. • Track rare disease data partnerships and spend, provide performance metrics and governance reporting to senior leadership, and identify opportunities for operational efficiencies, improved governance, and enhanced collaboration. • Work closely with internal stakeholders to understand rare disease business needs, recommend relevant data sets, and guide teams on how to extract actionable insights from available data sources. • Provide ongoing data advisory support to internal stakeholders, including guidance on recurring deliverables, interpretation of data outputs, data availability, limitations, and appropri