Director of Data, Insights & Customer Experience

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

At Thermo Fisher’s PPD clinical research business, we’re using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected.

We know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively.

You’ll join a culture that values experimentation, learning, and collaboration — where your ideas can help shape how we deliver life-saving solutions and improve global health outcomes. Whether you’re a data engineer, product manager, software developer, or AI scientist, you’ll find opportunities here to apply your skills to work that truly matters — improving global health outcomes. 

Director of Data, Insights & Customer Experience 

We are seeking a Director of Data to lead data strategy and execution for our Insights and Customer Experience digital product domain within PPD. This role is responsible for ensuring that data powering our products is trusted, well-defined, and aligned with source systems. You will oversee data analysts, data scientists, and front-end developers, partner with the business to establish strong data governance practices, and partner with the architecture team to design scalable data models that support both product features and AI-driven use cases.

This leader will act as the bridge between product, analytics, engineering, and architecture—ensuring that data is accurate, usable, and consistently understood across teams, and effectively surfaced through dashboards and data-driven interfaces.

This is a remote based position for qualified candidates in the US (East Coast preference)

Key Responsibilities

Data Strategy & Product Alignment

• 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. 

Data Modeling & Architecture Collaboration

• 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. 

Data Quality & Trust

• 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. 

Data Definitions & Governance

• 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 

Analytics & Dashboard Enablement

• 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. 

AI & Data Enablement

• 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, infer