Senior Manager - Patient Insights Data Analytics Lead
Listed on 2026-06-18
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IT/Tech
Data Analyst, Data Engineering
What You Will Achieve
We seek a highly motivated Solution Engineer to join Pfizer’s Digital Commercial and Customer Creation Center (C4) Digital Technology team for solution delivery for Pfizer’s Specialty Access Solution CoE.
Patient Insights is Pfizer’s proprietary application that maximizes the potential for our patients to have access to our medicines with proactive services identified through rich data analytics that personalize their journey. The candidate will be trained on the application.
The ideal candidate would be someone with advanced knowledge of data architecture, data profiling/quality tools, AWS services, Tableau, Snowflake, Informatica Cloud Services, Data IKU AI/ML tools, and some knowledge of building APIs.
The Data Lead will work closely with Patient Services Functional and Data Leads and become a subject matter expert with Patient Insights solutions to identify, develop, and deploy processes and reporting.
The role will lead Patient Insights Platform data architecture and visualization, create analytic solutions, and utilize data prep and visualization platforms.
How You Will Achieve It- Manages overall data architecture and manages, develops, prioritizes, and recommends initiatives to improve and build upon the data architecture to support the business.
- Evaluating the design, selection, and implementation of database changes by comparing them with business requirements and design documents.
- Maintaining data management plans and instructions for operating complex business systems.
- Ensures consistency of process and usage, and champions best practices in data management oversee data accuracy processes, goals, and assessment.
- Works with product owners to prioritize features for ongoing sprints and manages a list of technical requirements based on business needs, new technologies, known defects, and issues.
- Develop database design and architecture documentation for the management and executive teams.
- Assisting the technology, systems, and process work streams to define the shared data model vision, data sourcing approach, data transformation approach and data reconciliation approach.
- Planning and overseeing the day-to-day running of the workstream/team and delivery of milestones.
- Being Accountable for the end-to-end on-time delivery of program outcomes and the delivery of agreed benefits in line with the budget.
- Defining program outcomes and business cases, ensuring alignment with respective line organizations across Pfizer’s SAS COE.
- Coordinating across many stakeholders, creating a collaborative network with critical internal and external stakeholders. This can include outside contractors such as software vendors, data providers and specialty pharmacy customers.
- Ensuring Pfizer data contract privacy and re-identification terms are adhered to, and conflicts or issues are brought to the attention of P&A Legal and Privacy.
- SPP/HUB onboarding, integration of digital patient engagement tool data, development of benchmarking, program performance analytics, and specific customer-facing engagements.
- Knowledge of Predictive analytics, Machine learning and Web applications.
- Can work independently under close supervision, including making recommendations without significant oversight.
- Demonstrate a solid ability to tell a story with simplistic views of complex datasets.
- Patient Insights Data architecture and advanced analytical algorithms.
- Delivering data reliability, efficiency, and best-in-class data governance, ensuring security and compliance.
- Will be an integral part of developing best-in‑class solutions for visualization across the organization.
- Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools.
- The scope of this role includes a wide range of highly analytical platforms and data sources with diverse collection points and complicated collection methods.
- Partner with the Digital Client Partners to align on priorities, processes and governance and ensure experimentation to activate innovation and pipeline value.
- Bachelor’s degree required, preferably in Computer Science, Engineering, or a…
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