Jobs / United States / Astrazeneca Pharmaceuticals Lp
Director, Data & AI Risk Management
Astrazeneca Pharmaceuticals Lp · 🇺🇸 US - Gaithersburg - MD
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
We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. The Director, Data & AI Risk Management , leads and delivers enterprise risk management activities that help AstraZeneca identify, assess, govern, report, and reduce Data & AI risk. The role provides practical risk advisory, consulting, governance, and risk appetite support across regulatory compliance, data protection, AI governance, and related risk domains. Reporting to the Senior Director, Data & AI Risk Management, the Director partners across Data & AI Trust and Assurance and with business and enabling functions to translate complex risk and regulatory expectations into clear decisions, proportionate mitigations, and measurable improvements in risk posture. The role also leads cross-functional projects and supports enterprise governance forums and Enterprise Risk Management reporting, enabling responsible and confident use of Data & AI at scale. Typical Accountabilities • Provide trusted risk advisory, consulting, and risk appetite support across Data & AI risks, helping stakeholders make timely, proportionate, and well-informed decisions. • Provide governance and business analysis support across regulatory compliance, data protection, AI governance, and other Data & AI risk areas, translating complex requirements into clear risk positions, decisions, and actions. • Lead and/or project manage priority initiatives across Data & AI Trust and Assurance, irrespective of team boundaries, including Standards and Controls rollout and regulatory compliance programmes covering requirements such as the US Data Security Program, EU AI Act, European Health Data Space, and other emerging obligations. • Improve visibility of Data & AI risk posture by developing clear narratives, indicators, dashboards, and insights on material exposures, trends, mitigations, residual risk, and progress against appetite. • Engage business and functional stakeholders to build relationships and understand risk exposure, challenge the adequacy of mitigations, agree pragmatic remediation, and help drive residual risk and overall risk posture down. • Lead selected aspects of Data & AI risk aggregation, analysis, and reporting for Enterprise Risk Management, senior leadership, and governance bodies. • Facilitate risk assessments, workshops, and decision forums for complex or novel Data & AI use cases, balancing enablement, compliance, and protection of patients, the company, and its information and intellectual property. • Synthesize complex issues into concise, executive-ready narratives; anticipate stakeholder concerns; navigate ambiguity; and influence decisions in high-stakes forums. • Partner with Regulatory Intelligence, Legal, Compliance, Privacy, Cyber Risk, Enterprise Risk Management, Data Offices, and risk teams in R&D, Operations, Commercial, Enabling Units, and other business functions to align risk approaches and accountabilities. • Work across Data & AI Trust and Assurance teams to accomplish shared goals, resolve cross-cutting issues, and deliver integrated outcomes across policy, stand