ED, Advanced Analytics and Modeling

Novartis•East Hanover, NJ

10d•$225,400 - $418,600

About The Position

The Executive Director, Advanced Analytics & Modeling leads the Advanced Analytics & Modeling portfolio within US Insights & Analytics, translating priority business decisions into differentiated analytical capabilities, decision-ready evidence, and measurable business and patient impact. The role defines and executes the 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. The position leads through senior capability owners, five Associate Director-level Advanced Analytics Leads, and an integrated Hyderabad organization. It establishes 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. The ideal location is the East Hanover, New Jersey site, though remote work may be possible subject to legal-entity restrictions. Relocation is not provided. Remote employees pay their own home-office expenses and travel and lodging for periodic meetings at the East Hanover site. The position requires 15% travel; working hours and travel expectations will be defined by the hiring manager. The expected annual salary range is $225,400 to $418,600. Compensation also includes a performance-based cash incentive and, depending on role level, possible eligibility for annual equity awards. Eligible US employees receive health, life, and disability benefits, a 401(k) with company contribution and match, and paid time off including vacation, personal days, holidays, and other leaves.

Requirements

Minimum 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.
Strong 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 within pharmaceutical, biotechnology, life sciences, healthcare, or other highly regulated industries, with expertise across product launches, customer and patient analytics, promotional effectiveness, market access, and healthcare delivery decision-making.
Proven experience building and scaling AI-enabled analytics capabilities, including NLP, GenAI, unstructured-data analytics, experimentation, simulation, and optimization, while 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 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 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 end-to-end accountability for decision impact.