Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles23 certified filings for “Director, Forecasting-CV” (Data Scientists) in NJ: $170k–$170k, median $170k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 23 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).
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.
About the role
Job Description Summary
#LI-Hybrid
As Director, Marketing Innovation, you’ll turn bold marketing ideas into evidence that shapes what comes next. You’ll lead concepts from clearly defined problems through rapid experimentation and real-user testing, helping determine whether ideas should scale, evolve, or stop. You’ll bring together cross-functional partners across Brand, Medical, Legal, Data, technology, and agencies while applying strong technical and artificial intelligence judgment to areas such as generative artificial intelligence, personalization, content and workflow automation, and emerging customer experiences. Success in this role is about accelerating learning, making confident evidence-based decisions, and creating a clear path for the innovations with the greatest potential to move forward.
This position is based in East Hanover, NJ site and will not have the ability to be located remotely. This position will require up to 10% travel as defined by the business (domestic and/or international). Please note that this role would not provide relocation and only local candidates will be considered.
Job Description
Key Responsibilities:
• Own a portfolio of innovation concepts, moving each from problem framing through evidence-based scale, pivot, retest, or stop decisions.
• Frame clear hypotheses, learning agendas, test designs, and success measures to generate meaningful evidence from real users.
• Lead cross-functional teams across Brand, Medical, Legal, Data, technology, Transformation, Product, and agency partners through influence.
• Build and test focused prototypes while establishing appropriate risk guardrails before live experimentation.
• Apply strong artificial intelligence and technical judgment to generative artificial intelligence, personalization, automation, and emerging customer experiences.
• Evaluate technical feasibility, scalability, costs, and maintenance considerations in partnership with technology and engineering teams.
• Translate customer, market, performance, and technology signals into well-framed innovation opportunities and testable concepts.
• Develop evidence-based recommendations and communicate findings clearly to senior stakeholders and decision-making forums.
• Transition validated concepts to Transformation and Product with business cases, risk guardrails, technical plans, and user evidence.
• Strengthen experimentation capabilities by sharing learnings, improving methods and standards, and coaching cross-functional team members.
Essential Requirements:
• Bachelor’s degree in business, marketing, computer science, engineering, design, a related discipline, or equivalent relevant experience; advanced degree preferred.
• 8+ years of progressive experience in product innovation, digital marketing, experimentation, or venture and incubation work.
• 3+ years personally leading early-stage concepts, pilots, or test-and-learn programs through scale, pivot, or stop decisions.
• Experience working in pharmaceutical, healthcare, or another highly regulated environment with relevant governance and risk requirements.
• Strong technical and artificial intelligence expertise, with experience shaping prototypes and evaluating feasibility, scalability, cost, and maintenance.
• Demonstrated ability to design experiments, establish baselines, measure outcomes, and make clear, evidence-based recommendations.
• Proven success leading cross-functional teams through influence across marketing, medical, legal, technology, data, and agency partners.
• Strong understanding of pharmaceutical marketing, customer and patient journeys, content and channel operations, and agency ways of working.
Desirable Requirements:
• Background in customer experience, behavioral or marketing scienc
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