ED, Advanced Analytics and Modeling

Description

This is a hybrid role. The ideal location is the East Hanover, NJ site, though remote work may be possible depending on legal entity restrictions. The role does not include relocation.

The US Insights and Analytics group builds the decision environment for the US business by bringing together insights and analytics across therapeutic areas, functions and the enterprise. Enterprise I&A supplies integrated executive analytics and portfolio insights that help leaders set investment priorities, track performance and choose strategic direction.

This Executive Director role runs the Advanced Analytics and Modeling portfolio. You will turn priority business decisions into analytical capabilities, decision-ready evidence and measurable business and patient impact. The portfolio covers Precision Health, Key Drivers and Action Planning Analytics, Integrated Promotion Mix Modeling and Resource Optimization, and the new AI and Unstructured Intelligence capability.

You will lead through senior capability owners, five Associate Director-level Advanced Analytics Leads and an integrated team in Hyderabad. The aim is clear capability ownership, flexible deployment of the portfolio, shared quality standards, and a working partnership with Strategy, Platforms and Technology (SPT). Analytical methods and insights are developed within I&A, while reusable, recurring or workflow-embedded solutions are scaled through SPT.

Responsibilities

• Set and update the strategy, capability roadmap, maturity agenda and investment priorities for advanced analytics, matched to business and portfolio needs.
• Lead and rank the work across Precision Health, Key Drivers and Action Planning Analytics, Integrated Promotion Mix Modeling and Resource Optimization, and AI and Unstructured Intelligence.
• Create transparent processes for intake, prioritization, service levels and governance across brands, launches, therapeutic areas, functions and enterprise initiatives.
• Assign US and Hyderabad resources to the highest-value priorities, balancing near-term decision support with long-term capability building and reusable solutions.
• Hold capability leaders accountable for differentiated roadmaps, sound methods, talent growth, reusable assets and measurable business impact.
• Set standards for analytical rigor, validation, interpretability, reproducibility, documentation, privacy, compliance, peer review and responsible AI.
• Build out AI and Unstructured Intelligence, including NLP, GenAI, text analytics, unstructured signal detection, evidence synthesis and faster knowledge work.
• Work with senior leaders in Commercial, Medical, Market Access, Patient Services, Strategy, Finance and Forecasting to turn strategic priorities into analytical plans and recommendations.
• Work with SPT to set decision rights and move scalable models and use cases into governed products, integrated solutions, ModelOps and enterprise deployment.
• Run the global US and Hyderabad operating model and grow the Associate Director bench through coaching, deployment, capability alignment, succession planning and end-to-end ownership of decision impact.

Requirements

• Bachelor's degree in a related field.
• At least 12 years of progressive leadership experience in advanced analytics, data science, decision science, commercial analytics, healthcare analytics or a related quantitative field.
• A track record of setting and carrying out advanced analytics strategies, capability roadmaps, maturity agendas and investment priorities across several analytical domains.
• Experience leading senior capability owners, flexible expert teams, complex portfolios and globally distributed analytics organizations.
• Proven use of advanced analytics for high-impact commercial, patient, healthcare, launch or enterprise decisions.
• Broad working knowledge of predictive modeling, patient analytics, driver analysis, causal inference, experimentation, promotion-mix modeling, ROI analysis, response curves, optimization, NLP, GenAI and unstructured analytics.
• Experience setting portfolio priorities, allocating capacity, governing analytical quality and building reusable capability models.
• Sound judgment on method fit, evidence quality, validation, interpretability, uncertainty, model risk, privacy and responsible AI.
• A record of framing executive decisions, turning complex analytics into strategic choices, influencing senior business and technology leaders, resolving conflicts and managing portfolio trade-offs.
• Experience leading operating-model change, global delivery, organizational change, talent development and succession planning, and dividing analytical and technical ownership across models, products, platforms, ModelOps and lifecycle management.
• Master of Science or MBA preferred.
• Desirable: experience in pharmaceutical, biotechnology, life sciences, healthcare or other highly regulated industries, including product launches, customer and patient analytics, promotional effectiveness, market access and healthcare delivery decisions.
• Desirable: a record of building and scaling AI-enabled analytics, including NLP, GenAI, unstructured-data analytics, experimentation, simulation and optimization, and running integrated operating models across global capability centers while working well with data, analytics, product, platform and technology teams.
• Skills listed: 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.

Conditions

Salary range is $225,400.00 to $418,600.00 per year.

The final offer depends on skills and experience, and pay is reviewed periodically after joining. The range may change with company and market factors.

Travel is 15%, domestic and/or international, with working hours and travel set by the hiring manager.

If the role is remote, home office costs and travel or lodging to East Hanover, NJ for periodic in-person meetings are paid by the employee.

Benefits

• Performance-based cash incentive.
• Eligibility to be considered for annual equity awards, depending on role level.
• For eligible US-based employees: health, life and disability coverage, and a 401(k) with company contribution and match.
• For eligible US-based employees: vacation, personal days, holidays and other leave.