Jobs / United States / Novartis Pharmaceuticals Corporation
Field Incentives & Operations Excellence Jr Manager
Novartis Pharmaceuticals Corporation · 🇺🇸 Santo Amaro
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 roles5 certified filings for “Finance Manager” (Financial Quantitative Analysts) in NJ: $73k–$113k, median $113k. Most were filed at wage level II (60%) — 2 lottery entries, ≈31% 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-Hybrid Act as a Sales Force Effectiveness business partner to sales leaders by designing and implementing sales force effectiveness deliverables, including product access and sales performance measurement, segmentation and targeting, account planning, incentive calculation, CRM management, and market analytics. Contribute to the roadmap for future sales effectiveness and efficiency, and track relevant KPIs and sales performance in a standardized and compliant manner. This role is based in São Paulo, Brazil. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. Job Description Key responsibilities • Own accurate, compliant, and timely incentive operations, including quota setting, calculation, validation, payout governance, and sales performance measurement. • Transform the end-to-end incentives process through automation, systems integration, workflow redesign, and scalable controls that minimize manual intervention. • Implement automated validation, data quality controls, and root-cause analysis to reduce errors, reprocessing, payroll adjustments, and operational risk. • Establish clear governance, ownership, escalation paths, audit controls, and a trusted source of truth for incentive performance. • Deliver consistent and transparent quota and payout communications, translating complex technical topics into clear guidance for field teams and leaders. • Launch dashboards and self-service tools that improve visibility, adoption, and confidence in incentive information. • Create and execute a structured field education and change plan covering incentive rules, quotas, payout calculations, processes, and FAQs. • Partner with Sales, Field Excellence, Finance, P&O, Commercial Operations, Data & Analytics, IT, CRM, and external vendors to resolve issues and improve service. • Lead and develop the dedicated automation and data engineering resource, ensuring delivery of integrations, workflows, and scalable solutions. • Track operational, data quality, adoption, trust, business, audit, and compliance metrics, acting proactively to prevent issues and support future growth. Essential Requirements • Relevant education and experience in incentive compensation, commercial operations, or sales force effectiveness; experience with quota management, payout governance, and sales performance measurement is required. • Strong process improvement and automation mindset, with the ability to redesign workflows and translate business requirements into technical solutions. • Ability to manage complex operational processes, challenge inefficiencies, take ownership, and build credibility with field teams. • Pharmaceutical industry, CRM, omnichannel, IQVIA, Veeva CRM, customer master data, financial controls, compliance, risk management, advanced analytics, AI automation, or global incentive program experience is an advantage. • Fluent in English and Portuguese Desirable Requirements: • Experience with data and analytics tools such as SQL, Snowflake, Power BI, data modeling, and data quality frameworks is strongly preferred. Experience with automation technologies such as Python, ETL pipelines, workflow platforms, process orchestration, and API integrations is strongly preferred. Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Skills Desired Business Dashboards, Capacity Planning, Customer Service, Data Extraction, Data Quality, Merchandising, Performance Measurement