Associate Director

Associate Director, Analytics & Insights

Role Overview

Jazz is dedicated to delivering a differentiated customer experience, and theAssociate Director, Analytics & Insightsplays a pivotal role as a strategic thought partner and analytical expert—driving actionable insights that inform strategy, lifecycle planning, forecasting, and senior leadership decision‑making.

This role sets the strategic direction for Therapeutic Area analytics, advancing the use of secondary data analytics, predictive modeling, and analytical approaches to surface new insights and enable forward‑looking actions. TheAssociate Director oversees performance analytics, ensuring the organization clearly understands the key drivers, barriers, and opportunities shaping performance. This individual synthesizes insights from a wide range of data sources and collaborates closely with cross‑functional partners to translate analytics into meaningful business impact.

The Associate Director operates in a highly matrixed environment, partnering with Analytics colleagues and cross‑functional stakeholders across Field Leadership, Marketing, Market Access, Business Operations, Digital Enterprise Capabilities, and Learning & Development to deliver objective, strategic insights on brand and market performance.

A successful candidate will bring a growth mindset, demonstrating curiosity, resilience, and a willingness to learn from failure, experiment with new approaches, and continuously evolve how analytics are applied to business decisions.

Key Responsibilities 

Strategic Analytics & Insights Leadership 

• Define and advance the analytics vision and operating approachfor the Therapeutic Area to strengthen data‑driven decision‑making across brands and the portfolio.

• Serve as a senior analytics and insights advisorto leadership, influencing strategies, priorities, and tactics through objective, data‑backed recommendations.

• Shape near‑and mid‑term priorities in partnership with Marketing, Sales, and cross‑functional stakeholders, grounded in patient and provider experiences, outcomes,dataand evolving market dynamics.

• Represent analytics in planning cycles, business reviews, and leadership forums, contributing to enterprise‑level discussions and decisions.

• Analytics & Decision Support 

• Lead the integration and triangulation of secondary data sources(e.g., claims, EHR/EMR, specialty pharmacy, Rx, CRM, internal performance data) to develop a unified view of patient journeys, treatment patterns, and competitive dynamics.

• Apply predictive analytics andidentify leading vs lagging indicatorsto inform forecasting, opportunity assessment, targeting, and risk evaluation.

• Partner with cross‑functional teams to develop scalable analytical frameworks, metrics, and decision‑support toolsthat enable consistent, repeatable decision‑making.

• Ensure delivery of high‑quality dashboards and executive‑level reporting, providing clear, actionable visibility into brand and portfolio performance.

• Translate complex analyses into compelling, executive‑ready narrativesthat inform strategic choices and resource allocation.

• Market Research & Voice of Customer 

• Lead the design and execution of qualitative and quantitative primary market researchto address key strategic and tactical business questions.

• Synthesize insights from primary research and secondary datato represent a holistic “voice of the customer” (physicians, patients, payers).

• Facilitate insight‑sharing with brand and matrix teamsto deepen understanding of product perceptions, usage drivers, market dynamics, and competitive context.

• Cross‑Functional Collaboration & Influence 

• Build strong, trusted partnerships across functions, including Medical, Market Access, Sales Operations, Brand, Data Strategy, and IT.

• Drive alignment on Therapeutic Area and cross‑portfolio analytics priorities, ensuring focus on the highest‑value business questions.

• Act as a connective bridge across teams, translating insights into coordinated action and execution.

• Influence without authority in a matrixed environment, balancing multiple perspectives while maintaining focus on enterprise and patient outcomes.

• Innovation & Continuous Improvement 

• Continuously evaluate emerging data assets, analytical techniques, and technologiesto ensure analytics capabilities evolve with the business.

• Identify opportunities to streamline, standardize, and improve analytics processesto increase speed, quality, and impact.

• Experiment thoughtfully with new approaches, incorporating learnings from both successes and failures to strengthen analytics over time.

Required Qualifications & Experience 

Education & Experience 

• Bachelor’s degree ina quantitative, scientific, or business discipline;advanced degree (MBA, MS, PhD) strongly preferred.

• 6+ years of progressive experiencein commercial analytics, insights, strategy, or consulting within pharma/biotech;prior consulting experience preferred.

• Experience supporting specialty or complex Therapeutic Areas preferred.

• Analytics & Research Expertise 

• Strong experience with secondary data analytics, including claims, EHR/EMR, specialty pharmacy, prescriber‑level, and real‑world data.

• Demonstrated ability to leverage predictive analyticsto inform commercial and strategic decisions.

• Solid familiarity with primary market research methodologiesand translating research findings into actionable recommendations.

• Proficiency with analytics and visualization tools(e.g., Power BI, Excel); exposure to Python, R, or SAS is a plus.

• Stakeholder & Communication Skills 

• Exceptional stakeholder management and influencing skills, particularly with senior leaders and cross‑functional partners.

• Strong storytelling and communication abilities, able to distill complex analyses into clear, persuasive insights.

• Consulting‑style problem‑solving skills, with comfort navigating ambiguity and structuring work around decisions.

• Additional Attributes 

• Strong project and initiative management capabilities, balancing multiple high‑impact efforts simultaneously.

• Collaborative, adaptable mindset, effective in fast‑paced, evolving organizations.

• High intellectual curiosity and continuous‑learning orientation, especially in analytics, data, and commercial best practices.

• Exposure to advanced analytics or AI‑enabled insightsis aplus, butnot required.

Description of Physical Demands 

• Occasional mobility within an office environment.

• Routinely sitting for extended periods.

• Constantly operating a computer, printer, telephone, and other similar office machinery.

Description of Work Environment 

• Frequent computeruseat workstation.

• May move from one work location to another occasionally.

• Responsibilities may require a work schedule that may include working outside of “normal” work hours, to meet business demands.

• Occasional public contactrequiringappropriate business apparel.

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