Solution Engineer, Visualization, Analytics & Collaboration (Senior Manager)

Summary Discovery, Preclinical, and Translational Solutions (DP&TS) sits at the center of Pfizer’s scientific software work, building the digital tools that help researchers move from target identification through clinical translation. We’re looking for a Solution Engineer to own data visualization, analytics, and collaboration capabilities for integrative biology within DP&TS. This individual contributor role you’ll design, build, and maintain the platform, not just direct others. You’ll also work closely with the aligned capability lead to prioritize what gets built.   You’ll need strong technical depth in data visualization, analytics, collaboration platforms, and cloud-native engineering, along with the ability to set standards for the capability area. You’ll lead contractors as needed and partner across scientific, product, and engineering stakeholders to deliver secure, scalable solutions.   Reporting to the Principal Engineer, Integrative Biology Solutions, you’ll own the technical direction for visualization, analytics, and collaboration capabilities. This role doesn’t conduct data science research but you’ll need a strong grasp of how data scientists work and what they need from visualization and collaboration tooling to build the right platform.   Your technical decisions affect the speed, quality, and reproducibility of research across DP&TS. The problems cross scientific workflows, data engineering, and cloud infrastructure.

Own and Lead Solution Implementation: own visualization, analytics, and collaboration solutions for Integrative Biology end-to-end: design, build, deployment, and maintenance. Collaborate with Capability Lead on Prioritization and Roadmap: work with the R&D Capability Lead to prioritize and scope features; translate scientific needs into concrete technical requirements and delivery plans. Design and Implement Advanced Visualization and Analytics Solutions: architect, build, and maintain scalable visualization and analytics solutions for Integrative Biology research, including interactive dashboards, visual exploration tools, and platforms that handle large-scale biological datasets. Deliver Collaboration Solutions: build and maintain collaboration environments that let data scientists and research teams share and explore biological data securely and reproducibly. Lead Contractor Teams and Delivery: direct contractor teams when needed: provide technical guidance, review work, and hold delivery to quality and security standards. Define Standards and Best Practices: set and maintain technical standards and governance frameworks for the capability area, ensuring consistency and quality across the Integrative Biology ecosystem. Drive Continuous Improvement and Operational Excellence: proactively identify and address reliability, performance, scalability, and security gaps. Keep solutions current as scientific and operational needs evolve. Understand and Translate Scientific Needs: build a working knowledge of how data scientists use visualization, analytics, and collaboration tools — and use that understanding to build the right platform, not just a technically sound one.

Education: Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline) Experience: 6+ years of progressive experience in solution engineering, software engineering, or a related technical discipline, with demonstrated hands-on design and implementation of data visualization, analytics, and/or collaboration platforms Proven experience owning and leading the end-to-end delivery of technical solutions in a complex enterprise or scientific environment, including requirements gathering, solution design, implementation, and ongoing maintenance Experience leading contractor teams or matrixed delivery teams to implement technical solutions, with strong ability to provide technical direction,