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Thermo Fisher Scientific

Director of Data, Insights – Customer Experience

Thermo Fisher Scientific

Lead data strategy and execution for Insights and Customer Experience digital products at Thermo Fisher. Collaborate with diverse teams to ensure data quality and governance in clinical research.

Posted 4/29/2026full-timeRemote • North Carolina • 🇺🇸 United StatesLead💰 $185,000 - $215,000 per yearWebsite

About the role

Key responsibilities & impact
  • Define and drive the data strategy for the Insights and Customer Experience digital product domain within PPD, ensuring alignment with product roadmaps and business objectives.
  • Partner with Product Managers to translate product requirements into scalable data models and structures.
  • Establish data as a core product asset, ensuring it is intentionally designed—not an afterthought.
  • Define conceptual, logical, and physical data models to support digital product capabilities.
  • Collaborate closely with data engineers and architects to implement scalable, high-quality data solutions.
  • Ensure consistency between product data models and upstream source systems.
  • Own data quality standards, monitoring, and remediation processes.
  • Establish processes to ensure data in digital products accurately reflects source systems.
  • Drive initiatives that improve confidence in data across stakeholders (“single version of the truth”).
  • Implement validation, reconciliation, and auditing practices.
  • Lead the development and adoption of clear, consistent data definitions and business logic.
  • Ensure alignment across teams on key metrics, KPIs, and data usage.
  • Establish and maintain data governance frameworks, including metadata management and lineage.
  • Champion data literacy and shared understanding across the organization.
  • Lead and develop a team of data analysts supporting digital products.
  • Oversee the design and development of dashboards and data visualizations that support business processes and decision-making.
  • Ensure dashboards are intuitive, performant, and aligned to standardized definitions and trusted data sources.
  • Partner with product and business teams to embed insights directly into workflows and digital experiences.
  • Establish best practices for visualization, usability, and front-end data presentation.
  • Enable AI and machine learning use cases by ensuring high-quality, well-structured, and accessible data.
  • Partner with AI/ML teams to define data requirements for models and features.
  • Ensure data readiness for training, inference, and continuous improvement of AI systems.
  • Serve as a key partner to Product, Engineering, Architecture, and Business stakeholders across PPD.
  • Influence decision-making through data clarity, governance, and strategic direction.
  • Drive alignment across functions on data priorities and investments.

Requirements

What you’ll need
  • Bachelor's degree or equivalent and relevant formal academic / vocational qualification (Advanced degree preferred).
  • Previous experience in data, analytics, or data product roles that provides the knowledge, skills, and abilities to perform the job (comparable to 10+ years’ experience).
  • 5+ years of leadership experience managing data analysts or similar roles.
  • Strong experience with data modeling (conceptual, logical, physical) in product environments
  • Proven track record of improving data quality and establishing trust in data.
  • Experience delivering dashboards or data visualization solutions for business users.
  • Experience working closely with data engineering and architecture teams.
  • Deep understanding of data governance, definitions, lineage, and quality frameworks.
  • Experience supporting digital products (e.g., customer-facing platforms, SaaS, applications).

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
data modelingdata governancedata qualitydata visualizationdata analysisAImachine learningmetadata managementdata lineagedashboard development
Soft Skills
leadershipcollaborationcommunicationinfluencestrategic directiondata literacyteam developmentstakeholder engagementproblem-solvingdecision-making
Certifications
Bachelor's degreeAdvanced degree (preferred)