Jobs / United States / Astrazeneca Pharmaceuticals Lp

Astrazeneca Pharmaceuticals Lp

Insights and Forecasting Director

US - Wilmington - DE Posted today

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Skills this job asks for

BudgetingLeadershipA/B testingTranslation

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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.
  • 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.
  • What Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles15 certified filings for “Associate Director Oncology Outcomes Research” (Medical Scientists, Except Epidemiologists) in MD: $126k–$185k, median $140k.
  • 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 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. 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 Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles
15 certified filings for “Associate Director Oncology Outcomes Research” (Medical Scientists, Except Epidemiologists) in MD: $126k–$185k, median $140k. Most were filed at wage level II (47%) — 2 lottery entries, ≈31% 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.

About the role

About The Role:   The Insights and Forecasting Director   provides   strategic leadership across insights, analytics, forecasting, and AI-enabled decision support to help the business understand performance,  find opportunities , and plan for future scenarios. The role integrates information from multiple sources and uses modern digital capabilities to generate clear, actionable recommendations that support both near-term execution and longer-term strategic choices.   In addition to analytical and forecasting capabilities, the role requires excellent communication, collaborator management, and influencing skills, as well as strong digital fluency and sound judgment in the use of AI. The successful candidate will translate complex data into clear business implications, guide teams in adopting new tools and ways of working, and balance pace, innovation, and experimentation with   appropriate governance , risk awareness, and business value.   This position may manage external partners or project-based resources and is expected to continuously evaluate emerging analytical methods, digital tools, automation opportunities, AI capabilities, and data sources to improve decision support, operational   efficiency, and interpersonal capability. The role also helps build adoption by embedding scalable, repeatable, and user-focused insight practices across the function.   This role works closely with cross-functional partners across strategy, commercial, finance, operations, data and analytics, customer-facing teams, and other senior collaborators throughout the organization.   Key Responsibilities:   • Lead the design and delivery of insight generation, analytics, forecasting, and AI-enabled decision support that support strategic and operational decision-making   • Translate business questions into research, analysis, forecasting, and experimentation plans using relevant qualitative, quantitative, and digital approaches   • Synthesize data from primary, secondary, internal, and external sources to generate actionable insights and   identify   trends, risks, and opportunities   • Develop and   maintain   performance metrics, dashboards, and targets aligned to key business priorities and strategic goals, improving accessibility and self-service use of insights where appropriate   • Build and refine forecasting models that incorporate key assumptions, scenarios, sensitivity analyses, and leading indicators to support planning and investment decisions   • Drive adoption of digital and AI-enabled tools, methods, and workflows to enhance insight generation, forecasting speed, productivity, and decision support   • Evaluate, test, and scale emerging tools and techniques that strengthen predictive accuracy, scenario planning, automation, and business readiness   • Ensure analytical approaches, data usage, model assumptions, and outputs are objective, robust, clearly documented, and aligned with responsible AI and data governance expectations   • Present findings, forecasts, and recommendations in a clear and compelling way for senior customers, translating technical concepts into business impact and decisions   • Partner with cross-functional teams to   align on   priorities, assumptions, decision rights, and actions, driving shared accountability for outcomes   • Support case development, planning for the future, and prioritization through forward-looking analysis, digital insight generation, and scenario-based thinking   • Find opportunities to improve data quality, tooling, processes, operating rhythms, and analytical capabilities across the organization   • Coach teams and customers on effective use of insights, digital tools, and AI-enabled outputs, building confidence, capability, and adoption   • Manage external vendors or

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