Director, Performance Analytics & Insights (PAI)

Pfizer; Lake Forest (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Pfizer Global Commercial Analytics is seeking an analytical leader who partners with senior stakeholders across Brand Teams and Data Sciences to drive AI-enabled insights that inform strategic decisions for specialty care brands. The role champions advanced analytics, oversees market dynamics, and helps standardize methodologies across the PA I portfolio to accelerate data-driven decision making.

This position emphasizes proactive insight generation, cross-functional collaboration, and the

Qualifications

• Expertise in secondary commercial analytics within a therapeutic area (e.g., Dermatology).
• Ability to translate data insights into actionable brand strategies and tactics.
• Experience with AI-enabled analytics and dashboarding to communicate findings clearly.

Responsibilities

• Proactively initiate analysis and innovative methodology to identify business drivers, uncover risks and opportunities.
• Serve as the subject matter expert for secondary commercial analytics within an assigned therapeutic area.
• Guide analysis through defined patient segments to explain how disease characteristics shape market dynamics.
• Direct the role toward standardizing methodology and modernizing insight-generation practices.

Job description

Global Commercial Analytics (GCA) harnesses the power of data and AI to drive robust analytical insights that inform some of Pfizer's most critical business questions. Within Specialty Care, our Performance Analytics & Insights (PAI) team turns complex secondary data — including IQVIA, Symphony, specialty pharmacy, and others — into commercial strategy, increasingly through AI-enabled tools that reduce manual data wrangling and accelerate the path from data to decision. We connect what the data says to what the business does, sitting at the intersection of brand strategy, patient access, and business performance. Our work directly shapes how Pfizer's specialty care portfolio reaches the patients who need it most.

This role will work closely with senior business stakeholders across Brand Teams, commercial leadership, IIS (Integrated Insights and Strategy), and Data Sciences, and Data Strategy & Management, acting as a strategic partner who proactively initiates analysis and innovative methodology to identify business drivers and help shape brand strategy and tactics for one or more specialty care brands or franchises. This includes serving as the subject matter expert for secondary commercial analytics within a specific therapeutic area (e.g., Dermatology), covering brand demand, market share, patient segments, and subnational performance patterns. Dashboards and reporting remain part of the toolkit — increasingly built and maintained through AI — but they are a means of conveying insight, not the end deliverable. This role will also lead efforts to standardize methodology and modernize insight-generation practices, including piloting new AI capabilities, across the Specialty Care PAI portfolio. The role is dynamic, fast-paced, and highly collaborative, covering a broad range of strategic topics critical to the specialty care business. The successful candidate will join a team dedicated to driving business impact through proactive thought leadership, deep specialty care and therapeutic area fluency, fluency with AI-enabled analytics tools, and the ability to communicate complex information in clear, actionable ways.

Role definition and key accountabilities include, but are not limited to:

Role Responsibilities

Insights Generation & AI-Enabled Analytics

• Proactively initiate analysis and innovative methodology to identify business drivers, uncover risks and opportunities, and help shape brand strategy and tactics — rather than responding to requests.
• Serve as the subject matter expert for secondary commercial analytics within an assigned therapeutic area (e.g., Dermatology), maintaining deep fluency in the disease and treatment landscape, treatment sequencing, competitive dynamics, and evolving standard of care.
• Guide analysis through the lens of defined patient segments — demographics, lines of therapy, treatment setting, and prior treatment history — to explain how disease characteristics and treatment patterns shape market dynamics, prescribing behavior, and patient flow.
• Direct the