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Director, Medical Insights Platform Lead

Job in Scranton, Lackawanna County, Pennsylvania, 18512, USA
Listing for: Pfizer
Full Time position
Listed on 2026-09-15
Job specializations:
  • IT/Tech
    Data Science Manager, IT Project Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 177000 - 294000 USD Yearly USD 177000.00 294000.00 YEAR
Job Description & How to Apply Below

Role Summary

The Director, Medical Insights Platform Lead owns the technical architecture and build execution for the Insights platform (Insight Xplorer) on behalf of the full Medical Insights team globally. Accountable for how the platform is built and evolves technically — architecture decisions, build sequencing, and translating regional and business needs into a working, scalable product. Also drives innovation and experimentation for the platform, evaluating new data sources, methods, and AI approaches and determining which are worth building into the roadmap.

This role suits a builder who wants to shape the platform's technical direction end-to-end, working at the intersection of engineering, product development, and global stakeholder demand.

Role Summary

The Director, Medical Insights Platform Lead owns the technical architecture and build execution for the Insights platform (Insight Xplorer) on behalf of the full Medical Insights team globally. Accountable for how the platform is built and evolves technically — architecture decisions, build sequencing, and translating regional and business needs into a working, scalable product. Also drives innovation and experimentation for the platform, evaluating new data sources, methods, and AI approaches and determining which are worth building into the roadmap.

This role suits a builder who wants to shape the platform's technical direction end-to-end, working at the intersection of engineering, product development, and global stakeholder demand.

Role Responsibilities Platform Architecture & Build
  • Own the technical architecture and build execution of Insight Xplorer (IX), ensuring the platform scales reliably as usage and data sources grow.
  • Sequence build work across the platform roadmap, balancing technical dependencies with regional and business priorities surfaced by the Engagement Leads.
  • Translate regional and business needs into concrete technical requirements and a coherent, working product.
  • Coordinate with cross-functional partners (Digital & Technology, Data Governance, platform hosting teams) to resolve technical and infrastructure obstacles.
Innovation & Experimentation
  • Drive evaluation of new data sources, methods, and AI approaches for the platform, assessing technical feasibility and fit.
  • Determine which innovations are ready to move from experimentation into the build roadmap, in partnership with the Senior Manager, Data Analyst.
  • Stay current on emerging analytics and AI capabilities relevant to Medical Insights, bringing forward recommendations for the platform's technical direction.
Insights Translation & Value
  • Translate platform capabilities into terms that Engagement Leads and regional stakeholders can use to communicate value to their audiences.
  • Partner with the Engagement Leads and Senior Manager, Data Analyst to ensure new platform features and technical decisions reflect real regional and business needs.
  • Support change management and enablement activities related to new platform capabilities as they're built and released.
Basic Qualifications

Candidate demonstrates a breadth of diverse capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of external stakeholders to achieve meaningful outcomes and create business impact

  • Bachelor's degree or higher in Computer Science, Data Science, Engineering, Data Analytics, or a related technical field, with 8+ years of relevant experience in the pharmaceutical, life sciences, or technology industry.
  • Demonstrated experience building, architecting, or leading development of data or analytics platforms, with a strong understanding of how technical platform decisions translate into business and scientific value.
  • Demonstrated…
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