Jobs / United States / Novartis Pharmaceuticals Corporation
Solution Delivery & Business Technology Enablement (DDIT)
Novartis Pharmaceuticals Corporation · 🇺🇸 Toranomon (NPKK Head Office)
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 roles2 certified filings for “Senior Principal Product Service Manager” (Information Technology Project Managers) in NJ: $127k–$127k, median $127k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 This role is responsible for leading the successful delivery of AI, Data, Digital, Automation, and Enterprise Technology initiatives across Japan and APMA. As a key member of the DDIT Business Partner organization, the role translates business priorities into scalable technology solutions and ensures successful execution from concept to deployment, adoption, and value realization. Working closely with Business Partners, Product Teams, Architects, Engineers, Data & AI teams, and external vendors, the incumbent drives digital transformation while ensuring alignment with Novartis architecture, security, compliance, and governance standards. Job Description Key Responsibilities Solution Delivery Leadership (40%) • Lead end-to-end delivery of AI, Data, Digital, Automation, and Enterprise Technology initiatives. • Own delivery outcomes including scope, quality, timeline, risks, dependencies, and stakeholder satisfaction. • Coordinate cross-functional teams across Product, Architecture, Engineering, Security, Operations, and Vendor organizations. • Ensure successful deployment, adoption, transition to support, and business value realization. • Drive delivery excellence and continuous improvement. AI, Data & Digital Transformation (25%) • Lead implementation of AI, GenAI, Agentic AI, Analytics, and Automation solutions. • Identify opportunities to improve productivity, decision intelligence, customer engagement, and operational efficiency. • Drive PoCs, MVPs, and scaled solution deployments. • Promote responsible AI adoption and governance. • Accelerate digital transformation across Japan and APMA. Business Partnership & Demand Shaping (15%) • Partner with business stakeholders to understand strategic priorities and capability gaps. • Translate business needs into technology roadmaps and delivery plans. • Support investment prioritization and business case development. • Act as a trusted technology advisor. Data & Analytics Enablement (10%) • Deliver analytics, reporting, dashboarding, and AI-driven insights solutions. • Support enterprise data platform adoption and reusable data products. • Ensure data governance, security, and privacy compliance. Stakeholder Management & Change Leadership (10%) • Influence stakeholders across Country, Regional, and Global organizations. • Lead communication, training, adoption, and change initiatives. • Foster collaboration across business and technology organizations. Leadership Responsibilities • Lead virtual and matrixed delivery teams across multiple geographies. • Mentor business analysts and solution delivery professionals. • Coordinate external vendors and strategic partners. • Champion AI-first, data-driven, and customer-centric ways of working. • Contribute to capability development within the DDIT Japan & APMA organization. Technical Expertise AI & Automation • Microsoft Copilot • Microsoft Copilot Studio • Anthropic Claude • OpenAI GPT Models • OpenAI Codex • GitHub Copilot • Dify • Azure AI Services / AI Foundry • Agentic AI Frameworks • Intelligent Automation Platforms Data & Analytics • Snowflake • Databricks • Power BI • SQL • Data Products • Data Governance Delivery Platforms • Azure DevOps • GitHub • Jira • Confluence • Agile Delivery • CI/CD Practices Enterprise Platforms • SAP • Salesforce • ServiceNow • Microsoft 365 • Azure Cloud Platform Success Measures • Successful delivery of AI, Data, Digital, and Technology initiatives. • Achievement of business value and measurable outcomes. • Stakeholder satisfaction and adoption rates. • Process efficiency and automation benefits realized. • Growth of AI and analytics adoption across Japan and APMA. • Alignment between business strategy and DDIT ex