Shape the Future of Data at Fortrea Are you a visionary leader in data architecture and integration? Fortrea is seeking a Chief Data Officer, to drive the strategy and execution of services that will deliver the future state for Fortrea’s global data platforms. The role will require the definition and delivery of strategic data and integration tools and capabilities that will integrate across the Fortrea and customer platforms to grow key business capabilities. The role requires the definition of the approach and roadmap that will drive and support the future of Fortrea’s future in clinical research and business processes. In this role you will be accountable for: Lead strategy and execution for Fortrea’s global data models, integrating cutting-edge tools across enterprise and customer systems. Define and implement data standards and governance frameworks to ensure integrity, security, and interoperability of clinical and enterprise data. Architect and execute data migration strategies from legacy systems to modern platforms (e.g., Azure SQL, Synapse, Lakehouse). Lead system integrations using Microsoft technologies including Azure Logic Apps, Service Bus, Power Automate, and API Management. Ensure seamless data flow across platforms such as Workday, Snowflake, Informatica, and internal applications. Drive business intelligence through advanced analytics, dashboards, and data storytelling. Deliver a technical roadmap that enhances data capabilities across clinical, commercial, and corporate operations. Collaborate with senior leaders and cross-functional teams to achieve ambitious data objectives. Inspire and guide a high-performing team, fostering innovation and continuous improvement. Direct integration and middleware platforms, including API strategy and engineering. Maintain external visibility through publications and conference presentations. Serve as a senior ambassador for Fortrea, building trusted relationships with clients to ensure seamless delivery, drive innovation, and identify growth opportunities. Champion enterprise-wide AI/ML innovation by architecting scalable data ecosystems that enable predictive analytics, intelligent automation, and real-time decisioning. Lead development of ethical and explainable AI frameworks, ensuring responsible data governance and accelerating deployment of strategic machine learning models.