Data Domain Manager, Trial Data

Thermo Fisher Scientific • Wilmington, NC

15h • $130,000 - $180,000 • Remote

About The Position

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. At PPD 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. Position Summary The Data Domain Manager, Trial Data (known internally as an Associate Director, IT) is the hands-on owner for their assigned data domain, driving the day-to-day plan, backlog, and delivery under the direction of the Domain Lead. This role goes deep on sources, flows, lineage, quality rules, and semantic layers to make trusted, interoperable, AI-ready data available for product and analytics use cases. Reporting to the Trial Data Domain Lead in the CRG Digital Data Capabilities organization, the Data Domain Manager works daily with the Data Solutions Architect while partnering closely with Data Platforms, Data Governance, Digital Products, CRG IT/data owners, and external partners to land designs, resolve data issues fast, and evidence value.

Requirements

• Bachelor's degree in Life Sciences, Computer Science, Engineering, or equivalent and relevant formal academic / vocational qualification. Masters preferred.
• Previous data engineering/analytics/governance experience with hands-on SQL and modeling experience that provides the knowledge, skills, and abilities to perform the job (comparable to 10 years’ experience)
• Proven experience mapping complex source systems, building or specifying pipelines/models, and operating DQ/MDM controls.
• Demonstrated success partnering within matrix organizations and external partner teams to deliver complex, regulated data deliverables.
• Understanding of clinical trial operations (recruitment, start-up, clinical operations, data management, RBM, safety) and associated regulations.
• Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
• Able to work upright and stationary for typical working hours.
• Ability to use and learn standard office equipment and technology with proficiency.
• Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.
• May require as-needed travel (0-20%).
• Must be legally authorized to work in the United States without sponsorship.
• Must be able to pass a comprehensive background check, which includes a drug screening.

Nice To Haves

• Experience in a CRO, eClinical data provider, pharmaceutical/biotech company, or digital health/data startup.
• Experience in regulated data environments (e.g., clinical/GxP/Part 11/GDPR/HIPAA).
• Existing understanding of data landscape within assigned domain.
• Experience in making data AI/ML ready.

Responsibilities

• Domain Roadmap Input and Execution Partner with the Trial Data Domain lead to develop the vision and roadmap for your data domain, aligned with CRG Digital product roadmaps and key strategic initiatives. Drive execution against these prioritized roadmaps to ensure trusted, high-quality data is available at the right time. Proactively plan for future innovations and drive exploration of new capabilities, including potential external commercialization of new internal data products and capabilities. Develop and report on metrics and KPIs for assessing data consumption.
• Data Source and Flow Stewardship Based on the strategic roadmap within assigned domain, define data needs and determine internal data availability. Document source systems, tables, interfaces, and lineage; profile data; define and maintain transformation logic and semantic layers. Maintain the domain in the catalog (business definitions, ownership, lineage, policies, sample queries). Partner with internal stakeholders, Legal, and other teams as needed to address barriers to data access. Contribute to assessments of external partners to address data gaps, and to partnership scoping, business case alignment, negotiations, internal management and external alliance management for external data partners.
• Delivery Coordination Coordinate the technical execution of data delivery within your assigned domain, ensuring that data is available for consumption within CRG Digital’s data platform. Ensure that product/business requirements are translated into technical requirements and that data is appropriately mapped and modeled, applying product management techniques to data models (roadmap, backlog, etc.). Support technical implementation of licensed data products, where relevant, and navigate internal bureaucracy for data contracts, IT access, audits, etc. Coordinate support and usage guidance for integrations of external data products into clinical or analytical services.
• Stakeholder, Engagement, Enablement & Reporting Develop and maintain strong relationships with key stakeholders in CRG divisions to ensure alignment and support for data initiatives. Serve as the voice of your domain to Data Domain and Data Capabilities leadership. Explain solutions to non-technical audiences; train users on how to access and use delivered data assets; capture adoption feedback.
• Quality, Governance & Compliance Implement domain-level data quality rules, monitors, and remediation workflows; contribute to defect taxonomy and root cause analysis. Apply mastering and reference-data rules; coordinate with stewards and the Data Governance team on policy alignment and audits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level