AstraZeneca

AstraZeneca

Global / US Senior Director, Insights, Analytics & Forecasting

US - Wilmington - DE · Director

Sponsorship not specified$218k-$327kDetected 1 day ago
A/B TestingForecastingLeadershipCommunication

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Working here means being entrepreneurial, thinking big and working together to make the impossible a reality.
  • We're focused on the potential of science to address the unmet needs of patients around the world.
  • We commit to those areas where we think we can really change the course of medicine.

Responsibilities

  • Lead the Integrated IA&F Function
  • Lead Insights, Analytics and Forecasting as one integrated organisation with clear accountability and strong delivery
  • Build a high-performing team and develop future leaders across all three capability areas
  • Ensure the function delivers measurable business impact
  • Build Capability and Lead Transformation
  • Build organisational agility, experimentation and digital fluency
  • Coach leaders, strengthen the talent pipeline and lead change effectively
  • Experience leading change, transformation and capability building at scale
  • Excellent communication skills, with the ability to simplify complexity and develop others
  • 27-Oct-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees.

Requirements

  • Bachelor's degree in science, business or a related field
  • Experience with AI-enabled analytics, digital tools and modern data ecosystems

Compensation

  • The annual base pay for this position ranges from $218,329 to $327,494.

Benefits

  • Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.
  • Partner across Commercial, Medical, Finance and Market Access to support execution

Company info

  • Provide an externally anchored view of markets, patients and competitors
  • Turn data into clear strategic choices and business recommendations
  • Quantify opportunities and risks through forecasting and scenario planning
  • Embed AI, automation and digital capability to improve speed and impact
  • Set effective operating models and ways of working across Global and US teams
  • Shape Strategy and Business Decisions
  • Generate an externally anchored point of view on markets, patients and competitors
  • Turn insights into strategic choices that shape portfolio, brand and investment decisions
  • Advance Analytics, AI and Forecasting
  • Use advanced analytics, forecasting and AI-enabled approaches to quantify opportunities and guide decisions
  • Apply rigorous scenario planning, experimentation and data-driven evaluation
  • Translate complex outputs into clear recommendations for senior leaders
  • Connect Global and US Execution
  • Align enterprise priorities with US market realities
  • Ensure consistent insight generation while adapting to regional needs
  • Modernise the function through AI, automation and scalable data products
  • Significant pharmaceutical industry experience, including commercial strategy, insights, analytics or forecasting
  • Proven leadership of multi-disciplinary teams across Insights, Analytics and Forecasting
  • Strong strategic thinking, business acumen and ability to shape portfolio and brand decisions
  • Track record of influencing senior stakeholders and translating analysis into action

Equal opportunity

  • If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.