Director, Performance Analytics & Insights (PAI)

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 Responsibilities Role definition and key accountabilities include, but are not limited to: 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 use of secondary data sources and subnational analytics to surface risks and opportunities and connect data signals directly to brand strategy decisions, ensuring insights get surfaced proactively rather than on request. Champion the use of AI tools — including AI-generated dashboards and automated reporting — to reduce manual data wrangling and free up capacity for deeper insight generation, ensuring the underlying reporting infrastructure (e.g., Specialty Care LT Dashboard) stays accurate or is transitioned to AI-enabled alternatives. Connect insights into a compelling, persuasive narrative and deliver clear, actionable recommendations to senior leadership. Cross-Functional Partnership & Thought Leadership Act as a strategic partner to Brand Teams, IIS, Data Science, and Data Strategy & Management, co-shaping analytical approach and priorities rather than simply aligning on standards after the fact. Align with other GCA teams to keep activity across stakeholders cohesive and to maintain consistency in methodology, metrics definitions, and reporting standards across the broader portfolio. Actively contribute to the advancement of team capabilities through thought leadership, with a particular focus on AI innovation and tool adoption, and share knowledge and expertise with colleagues across GCA. Partner with Data Science and Data Strategy & Management to advance the use of novel data sources, AI/ML methods, and next-generation reporting approaches. Direct and assess the work of vendor partners, providing analytical direction, quality oversight, and risk management. Build trusted relationships with marketing, integrated insights, commercial excellence, data science, and market access stakeholders, translating complex analytical outputs into business language for VP and C-suite leaders. Technical Skills Demonstrated ability to drive AI innovation and adoption in commercial analytics — evaluating, piloting, and scaling AI tools and agents to reduce manual data wrangling and accelerate insight generation — and genuine curiosity about how AI is reshaping analytics and commercial insights. Strong analytical and coding skills (SQL, Python, or R) sufficient to direct and quality-check AI-assisted and automated analytics workflows on large datasets; experience in Snowflake or a comparable cloud data environment preferred. Strong proficiency in data visualization tools (Tableau, Power BI, or similar) and the ability to direct the design of clean, decision-oriented, increasingly AI-generated dashboards that convey insight rather than raw data. Extensive experience in the design and management of secondary data analytics, including direct experience with IQVIA, Symphony Health, or specialty pharmacy data, and depth in at least one therapeutic area. Strong reporting and analytical skills, with the ability to synthesize and validate various inputs and communicate the story to commercial leadership. Recognized expertise and coach to others on connecting, integrating, and synthesizing analysis into a meaningful “so what” that drives clear strategic recommendations. Demonstrated experience managing vendor relationships and ensuring quality in deliverables. Proven ability to act as a strategic partner who can quickly establish relationships of trust and credibility with senior leadership. Ability to be flexible, prioritize multiple demands, deal with ambiguity, and lead teams through complex, cross-functional projects in a matrixed environment. Ability to identify, prioritize, and describe relevant caveats and uncertainties in data, and to explain how they relate to the business question and broader strategic priorities. Demonstrated business and financial acumen. Qualifications 8+ years' experience in biopharma, analytics, strategic consulting, business, or a related field. Bachelor's degree required. Master's preferred in a quantitative discipline. Demonstrated track record of driving AI or advanced-analytics innovation within a commercial analytics or insights function. Analytics, statistics, and/or database knowledge and experience using relevant tools, applications, and platforms. Prior experience supporting a specialty care brand or franchise in a pharma commercial analytics or insights role, with deep working knowledge of the relevant treatment landscape and competitive dynamics within a specific therapeutic area, preferred. Demonstrated success proactively shaping brand strategy and tactics, not solely executing against defined reporting requirements. Demonstrated success in a highly fast-paced setting. Ability to identify new issues, trends, and opportunities from data. Ability to influence without authority, setting business direction, priorities, and action plans. Demonstrated analytical capabilities and critical thinking skills. Strong project management and organizational skills with cross-functional teams of diverse colleagues. Written and verbal communication skills. Stro