Brand Insights - Global Market Research & Forecasting AI Lead

** Brand Insights - Global Market Research & Forecasting AI Lead*
* ** About Astellas*
* Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at

** Are you driven to make a real difference in the lives of patients?*
* We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.

** Purpose & Scope*
* Establish an AI-enabled market research capability that accelerates insight generation, improves decision quality, and maximizes ROI-while maintaining methodological rigor, compliance, and human judgment AI and PMR.pptx.

** _Objectives:_*
* + Enable AI-augmented, always-on insight generation that complements (not replaces) primary market research

+ Embed AI across the end-to-end MR lifecycle, improving speed to insight, learning velocity, and decision confidence

+ Expand the breadth and depth of message/concept testing and creative optimization, with appropriate validation through PMR as needed

+ Leverage historical research via an Insights Site to reduce duplication and improve insight reuse AI and PMR.

+ Improve forecasting decision enablement through stronger linkage between demand/segmentation insights and forecast assumptions (e.g., demand assessment as a forecast input)

+ Implement a dedicated AI-enabled forecasting capability/tool to enhance brand and portfolio forecasting by improving scenario planning and sensitivity analysis, strengthening documentation and communication of assumptions and forecast risks/uncertainties, and enabling rapid alignment of forecast assumptions across stakeholders.

+ Developing team capabilities through coaching, mentoring, and onboarding new talent

+ Managing resource allocation and supporting professional growth within the Chapter

+ Representing the Insights Practice as a subject matter expert and contributing to Pods and Value Teams as needed

+ Demonstrating a Growth Mindset that seeks feedback, adapts quickly, and models continuous improvement

+ Collaborative and Outcomes Focused proactively seeking the questions to bring the right answers and solutions across brands.

+ Focused on team goal achievement and impact Driving continuous improvement, best practice sharing, and innovation in methodologies and ways of working

+ Work globally to provide also services locally.

+ Overseeing vendor projects and ensuring alignment with organizational objectives

The Global Market research and forecasting Chapter lead is responsible for developing the capabilities and skillsets of their teams, providing coaching and mentoring, managing team resource capacity, supporting the learning and career development of their Chapter team, managing the teams' compliance with standards and leading practices, continuous improvement and shared learning.

** Role and Responsibilities*
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* 1) Enterprise AI Market Research Strategy & Value Delivery*
* + Define and drive the enterprise strategy for AI-enabled market research (MR), aligned to business priorities and commercial decision needs

+ Translate strategy into an execution roadmap with clear milestones, KPIs, and value realization tracking (e.g., adoption, cycle-time reduction, cost efficiency, and quality/alignment to primary research)

+ Establish operating cadence and stakeholder alignment with an executive sponsor and cross-functional leadership to secure funding, remove barriers, and ensure enterprise alignment

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* 2) AI-Enabled MR Transformation Across the Lifecycle ("Always-on insights")*
* + Embed AI across MR steps including rapid synthesis/summarization/analysis, hypothesis formation and questionnaire design, AI moderators, AI-simulated responses, creative audits, and variant generation/optimization AI and PMR.pptx.

+ Expand breadth and depth of message and creative testing, enabling faster iteration and increased learning velocity without increasing risk AI and PMR.pptx.

+ Build scalable approaches to leverage historical research and reduce duplication by using tools such as an Insights Vault and AI-assisted retrieval/synthesis AI and PMR.pptx.

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* 3) Forecasting Partnership & Decision Enablement*
* + Partner with Forecasting, Finance, and Brand/TA leaders to ensure AI-augmented insights are translated into clearer forecasting assumptions, scenarios, sensitivities, and documented uncertainty.

+ Improve governance and consistency of how insights are used in forecast inputs, including traceability of assumptions and decision-quality standards (quality gates, validation, and review).

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* 4) Governance, Compliance, and Quality Standards*
* + Set standards for methodological rigor,…