ED, Advanced Analytics and Modeling

U014 (FCRS = US014) Novartis Pharmaceuticals Corporation; United States; Hybrid; USD 225,000 - 419,000; Full time

Job summary

Novartis Pharmaceuticals Corporation is seeking an Executive Director of Advanced Analytics & Modeling to drive the strategy, capabilities, and portfolio across multiple analytics domains. The role will lead senior capability owners and a global team, establishing governance, scalable models, and measurable impact across business and patient outcomes.

The position requires 12+ years in analytics leadership, a strong track record in AI/ML, NLP, and unstructured analytics, and the ability to

Qualifications

• Requires minimum 12+ years of progressive leadership in advanced analytics or related quant field.
• Bachelor's degree required; MS or MBA preferred.
• Proven history defining and executing analytics strategies, roadmaps, and investments across multiple domains.
• Experience leading senior capability owners and globally distributed analytics teams.
• Strong expertise in predictive modeling, NLP, GenAI, unstructured data analytics.

Responsibilities

• Define and evolve the Advanced Analytics & Modeling strategy and roadmap.
• Lead portfolio across Precision Health and analytics domains.
• Establish governance and standards for analytic rigor and responsible AI.
• Coordinate with Strategy, Platforms & Technology to scale models into products.
• Develop and coach Associate Directors and global delivery teams.
• Partner with cross-functional leaders to translate priorities into actionable analytics agendas.

Skills

Predictive modeling

NLP

GenAI

Unstructured analytics

Data science

Analytics leadership

Decision science

Education

Bachelor's degree

Master's degree or MBA

Tools

ModelOps

AI/ML platforms

Job description

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.

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 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 effectively with data, analytics, product, platform, and technology organizations.

Novartis Compensation Summary

Salary for this position is expected to range between $225,400.00 and $418,600.00 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance‑based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US‑based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time‑off package including vacation, personal days, holidays and other leaves.

EEO Statement

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e‑mail to [e-mail] or call [phone] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

• Agile Methodology
• Artificial Intelligence (AI)
• Business Value Creation
• Change Management
• Curious Mindset
• Data Governance
• Data Literacy
• Data Management
• Data Quality
• Data Science
• Data Strategies
• Data Visualization
• Deep Learning
• Generative AI
• Learning Agility
• Machine Learning (ML)
• Machine Learning Algorithms
• Mentorship
• Neuro‑Linguistic Programming (NLP)
• Organizational Awareness
• Stakeholder Engagement
• Statistical Analysis
• Time Series Analysis
• Vision Planning

Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives.

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