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 employees 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 USHyderabad 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.
• Bachelors 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:

The salary for this position is expected to range between $225400.00 and $418600.00 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 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 or call 1 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$225400.00 - $418600.00

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