ED, Advanced Analytics and Modeling

Job Description Summary

#LI-Hybrid

The ideal location for this role is East Hanover, NJ site but remote work may be possible (there may be some re-strictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover, NJ site for periodic live meetings will be at the employee’s expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 15% travel.


The US Insights & Analytics (I&A) organization engineers the optimal decision environment for the US business by orchestrating, integrating, and synthesizing insights and analytics across therapeutic areas, functions, and the enterprise. Enterprise I&A drives enterprise decision environments through integrated executive analytics and portfolio insights that enable the organization to prioritize investments, track performance, and shape strategic direction.

Executive Director, Advanced Analytics & Modeling leads the Advanced Analytics & Modeling portfolio, translating priority business decisions into differentiated analytical capabilities, decision-ready evidence, and measurable business and patient impact. Define and execute the Advanced Analytics & Modeling Strategy, capability roadmap, portfolio priorities, talent model, and global operating model across Precision Health, Key Drivers & Action Planning Analytics, Integrated Promotion Mix Modeling & Resource Optimization, and the emerging AI & Unstructured Intelligence capability.

Executive Director, Advanced Analytics & Modeling will lead through senior capability owners, five Associate Director-level Advanced Analytics Leads, and an integrated Hyderabad organization. Establish clear capability ownership, flexible portfolio deployment, common quality expectations, and effective partnership with Strategy, Platforms & Technology (SPT) so analytical methods and insights are developed within I&A while reusable, recurring, or workflow-embedded solutions are enabled and scaled through SPT.

Job Description

Key Responsibilities:

• Define and evolve the integrated Advanced Analytics & Modeling strategy, capability roadmap, maturity agenda, and investment priorities aligned with business and portfolio needs.
• Lead and prioritize the portfolio across Precision Health, Key Drivers and Action Planning Analytics, Integrated Promotion Mix Modeling and Resource Optimization, and AI and Unstructured Intelligence.
• Establish transparent demand intake, prioritization, service levels, and portfolio governance across brands, launches, therapeutic areas, functions, and enterprise initiatives.
• Allocate US and Hyderabad resources to the highest-value business priorities, balancing near-term decision support with long-term capability development and reusable solutions.
• Hold capability leaders accountable for differentiated roadmaps, methodological excellence, talent development, reusable assets, and measurable business impact.
• Establish standards for analytical rigor, validation, interpretability, reproducibility, documentation, privacy, compliance, peer review, and responsible AI.
• Incubate AI and Unstructured Intelligence capabilities, including NLP, GenAI, text analytics, unstructured signal detection, evidence synthesis, and knowledge acceleration.
• Partner with senior Commercial, Medical, Market Access, Patient Services, Strategy, Finance, and Forecasting leaders to translate strategic priorities into actionable analytical agendas and recommendations.
• Partner with SPT (Strategy, Platforms, and Transformation) to define decision rights and ensure effective transition of scalable models and use cases into governed products, integrated solutions, ModelOps, and enterprise deployment.
• Lead the global US–Hyderabad operating model and develop the Associate Director engagement bench through coaching, strategic deployment, capability alignment, succession planning, and end-to-end accountability for decision impact.

Essential Requirements:

• Minimum 12+ years of progressive leadership experience in advanced analytics, data science, decision science, commercial analytics, healthcare analytics, or a related quant field.
• Bachelor's degree in related field is required; Master of Science and/or MBA preferred
• Proven success defining and executing advanced analytics strategies, capability roadmaps, maturity agendas, and investment priorities across multiple analytical domains.
• Experience leading senior capability owners, flexible expert teams, complex portfolios, and globally distributed analytics organizations.
• Demonstrated expertise applying advanced analytics to high-impact commercial, patient, healthcare, launch, or enterprise decisions.

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