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Insights and Forecasting Director

AstraZeneca
Wilmington, United Statesfull_timeVerifiedPosted 20 Aug 2026

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 capab

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Company

AstraZeneca

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