AD, Advanced Analytics & Modeling

Job Description

The Advanced Analytics & Modeling Center of Excellence transforms complex business questions into scalable analytical capabilities, decision-ready insights, and measurable business impact across the US portfolio. The CoE is deliberately flat: a small number of capability Directors, supported by a flexible bench of Associate Director-level Advanced Analytics Leads, working in integrated partnership with the Hyderabad analytics organization. Reporting into the Executive Director, Advanced Analytics & Modeling, the Associate Director, Advanced Analytics & Modeling is a senior individual contributor on that bench. The role is deployed dynamically across launches, therapeutic areas, and enterprise initiatives in support of the CoE’s capability areas – Promotion Effectiveness, Measurement & Resource Optimization; Key Drivers & Action Planning Analytics; and Predictive Modeling & Precision Health. Each Associate Director holds a primary capability home while maintaining cross-capability flexibility and T-shaped skill development. This is explicitly not a reactive shared-services or project-management role. The AD operates as an end-to-end analytical engagement lead – accountable from key business question definition through methodology selection, execution, and decision recommendation. The measure of the role is whether business decisions improved, not whether analyses were delivered.

Key Responsibilities

• Member of a bench of five Associate Director-level Advanced Analytics Leads, deployed against priority enterprise, launch, portfolio, and in-market work as directed by the ED and capability Directors.
• Supports three capability areas: Promotion Effectiveness, Measurement & Resource Optimization; Key Drivers & Action Planning Analytics; and Predictive Modeling & Precision Health.
• Holds a primary capability home providing methodological depth, while contributing across the other capability areas as demand and priorities shift.
• End-to-end accountability for assigned analytical engagements – from problem framing through executive-ready recommendation – under the methodological direction of the relevant capability Director.
• Directs and quality-assures analytical execution carried out by Hyderabad team members on assigned engagements; no direct reports.
• Applies and contributes to enterprise analytical standards and reusable approaches; does not set them.

Essential Requirements

• Minimum 6 years of progressive experience in Advanced Analytics, Data Science, Decision Science, Commercial Analytics, Marketing Analytics, Econometrics, Operations Research, or a related quantitative field
• Bachelor’s degree in a quantitative discipline such as Statistics, Economics, Engineering, Mathematics, Operations Research, or Data Science; an advanced degree is preferred
• Demonstrated depth in at least one of: promotion effectiveness and marketing mix modeling, ROI and response-curve analysis, resource optimization, causal inference and experimentation, driver analysis and performance diagnostics, segmentation and archetyping, or predictive and patient-level modeling
• Demonstrated experience leading analytical work from problem framing through to executive recommendation
• Pharmaceutical, biotechnology, healthcare, or similarly complex data-rich commercial industry experience preferred
• Experience working with large, complex datasets and translating them into an integrated view of performance or opportunity
• Experience partnering directly with business stakeholders and presenting analytical findings to senior audiences

Desirable Requirements

• Breadth across more than one of the CoE capability areas, including promotion effectiveness and resource optimization, key drivers and action planning, and/or predictive modeling and precision health; experience supporting product launches and in-market brand performance.
• Experience with subnational, account, customer, or patient-level analytics, including work with offshore or globally distributed analytics teams.
• Experience contributing to reusable analytical capabilities rather than solely project-based analytics, and experience operating through a large-scale organizational transformation or operating model redesign.