Jobs / United States / Astrazeneca Pharmaceuticals Lp
Director/Senior Director, Data Governance (China)
Astrazeneca Pharmaceuticals Lp · 🇺🇸 2 Locations
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 99 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 Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles4 certified filings for “Director, R&D IT - Dvlpmt & Late TA, IT Product Mgmt Clinic” (Data Scientists) in MD: $194k–$201k, median $194k. Most were filed at wage level IV (75%) — 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 — Astrazeneca Pharmaceuticals Lp
The US Department of Labor certified 99 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 Astrazeneca Pharmaceuticals Lp →
About the role
Role Summary Lead data governance for AstraZeneca’s China R&D office, aligning local policies and controls to enterprise standards. Set policy, assess and mitigate data/AI risk, advise projects, and ensure compliance with China and international regulations, including cross-border data transfer constraints (e.g., Personal Information Protection Law, Cybersecurity Law, and US Department of Justice guidance on bulk transfers). Report functionally to China R&D and dotted line to the Enterprise Data Enablement team and partner with local Chinese teams, Global Compliance, Privacy, Cybersecurity, Quality, Internal Audit and IT Data & Analytics. Key Responsibilities • Strategy and Policy: Localize and implement enterprise Data & AI Policy and standards across China R drive interoperability, reuse, and analytics readiness. • Regulatory and Risk: Interpret and operationalize China and global requirements (Personal Information Protection Law, Cybersecurity Law, Data Security Law, Cybersecurity Administration of China). Maintain a data/AI risk register, lead mitigations with Privacy, Legal, and Cyber. • Cross-Border and Localization: Govern residency, lawful transfer (Standard Contractual Clauses of China, Cyberspace Administration of China filings, Data Transfer Impact Assessment/Privacy Impact Assessment), de-identification/pseudonymization, and secure access patterns. • R&D Enablement: Establish stewardship, metadata, lineage, and data quality rules for clinical, real-world, omics, and imaging data; support FAIR practices. • AI Governance: Ensure responsible AI in R&D (model documentation, provenance, validation, monitoring, human oversight). • Assurance: Prepare for audits/inspections; design and test privacy/security controls and GxP-aligned data processes. • Global Collaboration and Stakeholder engagement: Represent China in EDE forums; feed China requirements into enterprise technology and standards. Typical Accountabilities • Operate the China R&D data governance model, RACI, and councils. • Approve classifications, sharing agreements, and data transfer impact assessments. • Set KPIs for quality, reuse, access time, and CBDT approvals, lead incident response. Required Qualifications and Experience • Bachelor’s degree, advanced degree preferred. • Significant data governance leadership in regulated, multinational biopharma R&D. • Deep knowledge of China regulations (PIPL, CSL, DSL, CAC) and global constraints (including US DOJ positions on bulk transfers). • Experience with catalogs/lineage, MDM/RDM, data quality, consent/privacy tech, secure research environments, and role-based access control. • Strong stakeholder communication; fluent in English and Mandarin. Desirable Experience • Pharmaceutical or biotechnology R&D background, including clinical data standards (e.g., Clinical Data Interchange Standards Consortium), omics/imaging data ecosystems, and real-world data partnerships in China. • An understanding of how AI can be used locally to automate and improve data governance processes. • Knowledge of enterprise platforms and architectures (e.g., data mesh/data Lakehouse, SAP/MDM, Veeva, Reltio), and privacy-enhancing technologies (tokenization, differential privacy, synthetic data). • Experience with global shared services and federated data operating models. • Project and change management credentials; Lean/Six Sigma exposure; Power BI/Excel analytics capability. Date Posted 30-9月-2026 Closing Date 29-11月-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our