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. • Broad technical fluency across predictive modeling, patient analytics, driver analysis, causal inference, experimentation, promotion-mix modeling, ROI analysis, response curves, optimization, NLP, GenAI, and unstructured analytics. • Experience establishing portfolio prioritization, capacity allocation, analytical quality governance, and reusable capability models. • Strong judgment regarding methodological fit, evidence quality, validation, interpretability, uncertainty, model risk, privacy, and responsible AI. • Proven ability to frame executive-level decisions, translate complex analytics into strategic choices, influence senior business and technology leaders, resolve conflicts, and manage portfolio trade-offs. • Experience leading operating-model transformation, global delivery, organizational change, talent development, succession planning, and the division of analytical and technical ownership across models, products, platforms, ModelOps, and lifecycle management. Desirable Requirements: • Experience within pharmaceutical, biotechnology, life sciences, healthcare, or other highly regulated industries, with demonstrated expertise a