Director
The Director, Patient Affordability Analytics is responsible for leading and innovating data assets and strategies for the creation and measurement of Pfizer’s patient affordability and copay programs. The Director will be integral in helping develop data and analytical strategies and dashboards that usher in confident decisions to implement innovative patient affordability programs and tactics that positively impact the patient journey. An individual with a strong analytical ability is a must, but this should be accompanied by strong business acumen, communication skills, and an attention to detail.
The position will work closely with Pfizer’s GAV Patient Affordability Solutions Team Lead and GAV Patient Service Analytics & Insights Team Lead. The individual will interact with multiple cross functional team members from, Pfizer Digital, Pfizer Patient Services, Pfizer Patient Solutions, Pfizer Business Analytics community, finance, legal, and compliance. The Director, Patient Affordability Analytics will be a critical team member who will undertake decision making analytics and ensure that assigned initiatives are in alignment to Pfizer Copay and Affordability program SOP and Policies. The position will work across I&I, Oncology, Rare Disease. IM, and on occasion biosimilars and vaccines. The Director responsibilities will include the following, but are not limited to:- Establish and maintain effective coordination among all stakeholders creating a collaborative network with key internal and external stakeholders. Constantly seek paths to partner with cross-functional teams to further improve the patient affordability data/analytics platforms.
- Display and implement knowledge of healthcare industry and trends that could affect Pfizer’s patient affordability program design and implementation. Recommend new approaches to achieve operational effectiveness and efficiency.
- Maintain appropriate systems, databases, and records as defined within the Pfizer’s Copay SOP and Policies.
- Show deep knowledge of how to use complex data modeling, aggregation and analytics (e.g., data quality and stewardship, data structures and theories, data granularity, descriptive statistics, data integration, data mastering, and business analysis and reporting) to inform decisions.
- Analyze, model and test assumptions about a business question through a broad range of data analysis tools; garner insights; and present complex concepts in a simple, visual way to guide decision making.
- Ask business questions that will enable the use of data to uncover new insights that can give the business a competitive advantage.
- Procure, lead and apply patient affordability data assets in order to measure programs, innovates new solutions, and enhance net sales potential.
- Exhibit subject matter expertise on copay data and patient affordability data. Respond to the ad hoc needs of internal business partners. Takes ownership to get answers or solve problems.
- Enable the Patient Affordability Solutions team to use innovative data assets to uncover new insights that can give the business a competitive advantage, thoroughly measure affordability programs, and enhance net sales capability.
- Work closely with Pfizer Digital, CMO, Channel Management, Patient Solutions, Procurement, Finance, and other Pfizer colleagues, and brand partners to:
- Set direction and build a centralized data strategy for the stewardship, usage, and the further development of copay and affordability program data platforms. Assist with data stewardship and data quality by developing a systematic approach for identifying and resolving data quality issues and monitoring their solution. Collaborate with analytics peers to integrate data sets across platforms and to build a 360-degree view of the customer’s experience. Support Copay/Affordability Program business review meetings among key Pfizer stakeholders by creating program metrics, impact assessment and tracking dashboards.
- Demonstrate forward thinking and ability to take a broad approach toward data integration, use cases and application development
- Bachelor’s Degree required; MBA or relevant graduate degree preferred
- 8+ years of experience in an analytical type function, which can include: consulting, primary quantitative market research, secondary data analysis, forecasting, predictive modeling.
- Consulting experience and experiences of analyzing patient/claims data is highly desired.
- Deep understanding of pharmaceutical product reimbursement process for both medical and pharmacy products.
- Demonstrated ability in managing complex projects/data sets.
- Expertise of using common pharmaceutical and payer claims datasets (IQVIA LAAD) and copay/affordability data sources (CoverMyMeds, Relay Health, Copay/Voucher data etc).
- Experiences of building financial model to estimate affordability program impact to gross to net and net sales.
- Analytical model development and database manipulation experience.
- Prior success delivering results and working in a highly matrix organization and experience with collaborating across multiple stakeholders to drive results.
- Strategic mindset, analytical thinking, interpersonal skills, leadership skills, quantitative skills, communication skills, and project management.
- Creative thinker who is intellectually curious.
- A high attention to detail.
- Motivated, enthusiastic, and collaborative.
- Comfort with ambiguity and the ability to forge ahead on initiatives not done before, recognizing there will be obstacles to overcome along the way.
- Hands on experience of using analytics tools like SAS, SQL, Python.
- Proficiency in MS Office suite and Tableau/PowerBI
- Ability to translate unstructured data into actionable insights.
- Last Date to Apply for Job: October 24th, 2025.
- Ability to travel based on business needs
- Candidates located in NYHQ are preferred
- NOT eligible for Relocation Package
- This position is hybrid and requires working onsite 2 to 3 days per week
- The annual base salary for this position in Tampa, FL ranges from $141,000.00 to $235,000.00.
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