Skills this job asks for
Product managementComplianceLeadershipStakeholder management
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Sponsorship verdict
Posting rules out sponsorship
The posting rules out sponsorship or requires citizenship or security clearance.
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Employer is on a government sponsor recordThe US Department of Labor certified 40 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 Pfizer INC paid sponsored hires in similar roles1 certified filing for “Associate Director, Statistics Lead” (Statisticians) in VA: $135k–$135k, median $135k.
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Security clearance mentionedFrom the posting’s own wording.
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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 40 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 Pfizer INC paid sponsored hires in similar roles
- 1 certified filing for “Associate Director, Statistics Lead” (Statisticians) in VA: $135k–$135k, median $135k. 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).
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.
Before you apply
Requirement gap
The posting mentions a security clearance — usually restricted to citizens of that country.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
Director, Technology Adoption, Engagement & Transformation — China
Role Snapshot
Function / Team: Commercial Excellence & Innovation (CEI) - Digital & Technology (Technology Adoption, Engagement & Transformation)
Location: China
Grade / Level: Director
Reports to: Digital & Technology Head (D&T Head)
1. Role Summary
The Director leads the market-facing technology adoption, engagement and transformation capability for CEI Digital & Technology. The role ensures existing systems and new AI-enabled products are directed toward measurable outcomes, CEI PODs are formed around clear opportunities, and adoption and transformation continue through scale and sustainable ownership.
2. Key Accountabilities
• Translate CEI and Business Unit priorities into an integrated technology adoption, roadmap, demand and portfolio agenda aligned with global D&T.
• Own senior technology engagement and transformation for legacy and AI-enabled products and carry market signals into intake, prioritization and POD formation.
• Lead technology product and portfolio lifecycle decisions using reuse-before-build and operate, modernize, industrialize or retire choices.
• Shape business and operating-model transformation by connecting technology, workflow redesign, change, adoption and value realization.
• Lead experience and workflow design across customer and colleague journeys, user experience, agent hand-offs and Business Unit adaptation.
• Establish adoption telemetry, service integration and an integrated service catalogue, using platform usage and user insight to improve adoption and outcomes.
• Coordinate Legal, Privacy, Risk, Compliance and Security clearance as lifecycle stage gates and provide a clear D&T liaison for governance stakeholders.
• Lead technology scouting and assess emerging technologies for strategic relevance and business value.
• Enable POD effectiveness through clear outcomes, product ownership, stakeholder alignment, adoption planning and transition to sustainable ownership.
• Own the market-facing engagement model for CEI D&T — running a structured operating rhythm with Business Units and CEI capabilities to surface demand, align priorities and drive adoption of technology and AI-enabled products.
3. Required Capabilities & Competencies
(a) Critical Capabilities & Qualifications
• Technology stack and adoption, business engagement, transformation leadership, product and portfolio lifecycle and executive stakeholder management.
• Experience and workflow design, adoption and change, telemetry, service integration and technology scouting.
• Legal, privacy, risk and compliance coordination, POD operating models and value realization.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Digital Business or Design or a closely related discipline; an advanced technical or business degree is preferred.
• Typically, 15+ years of progressive relevant experience, including several years leading teams and delivery at scope and complexity appropriate to similar level.
• Demonstrated ability to work across business, product, technology, data and governance stakeholders in a matrixed environment.
• Experience in a highly regulated industry and the China technology, data, privacy or vendor environment is preferred.
(b) Leadership Expectations
• Outcome ownership: connects decisions to measurable business, user, service and transformation outcomes.
• AI-first and enterprise-minded: applies responsible AI, reuse, architecture, security, privacy and scale principles appropriate to the work.
• POD collaboration: enables clear accountability, effective cross-functional execution and minimal handoff friction across peer teams and partners.
• Precision and learning: communicate clearly, documents decisions,
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