ED, Advanced Analytics and Modeling

Novartis•East Hanover, NJ

8d•Hybrid

About The Position

The Executive Director, Advanced Analytics & Modeling leads Novartis’s Advanced Analytics & Modeling portfolio, translating priority business decisions into analytical capabilities, decision-ready evidence, and measurable business and patient impact. The role defines and executes the portfolio strategy, capability roadmap, priorities, talent model, and global operating model across Precision Health, Key Drivers & Action Planning Analytics, Integrated Promotion Mix Modeling & Resource Optimization, and AI & Unstructured Intelligence. The Executive Director leads through senior capability owners, five Associate Director-level Advanced Analytics Leads, and an integrated Hyderabad organization. The role establishes clear capability ownership, 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. The ideal location is the East Hanover, New Jersey site; remote work may be possible subject to legal-entity restrictions. Remote employees are responsible for home-office expenses and travel and lodging for periodic meetings at the East Hanover site. The role requires 15% travel. Working hours and travel expectations will be defined by the hiring manager. Relocation is not provided.

Requirements

At least 12 years of progressive leadership experience in advanced analytics, data science, decision science, commercial analytics, healthcare analytics, or a related quantitative field.
Bachelor’s degree in a related field.
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.
Sound judgment regarding methodological fit, evidence quality, validation, interpretability, uncertainty, model risk, privacy, and responsible AI.
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 division of analytical and technical ownership across models, products, platforms, ModelOps, and lifecycle management.

Nice To Haves

Master of Science and/or MBA.
Experience in pharmaceutical, biotechnology, life sciences, healthcare, or another highly regulated industry, with expertise across product launches, customer and patient analytics, promotional effectiveness, market access, and healthcare delivery decisions.
Experience building and scaling AI-enabled analytics capabilities, including NLP, GenAI, unstructured-data analytics, experimentation, simulation, and optimization.
Experience establishing integrated operating models across global capability centers and partnering with data, analytics, product, platform, and technology organizations.

Responsibilities

Define and evolve the integrated Advanced Analytics & Modeling strategy, capability roadmap, maturity agenda, and investment priorities in alignment 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 high-value priorities while 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 analytical agendas and recommendations.
Partner with SPT to define decision rights and transition 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 accountability for decision impact.