Enterprise Data and Analytics Platform Leader

Enterprise Data and Analytics Platform Leader Corteva Agriscience™ has an exciting opportunity for an Enterprise Data and Analytics Platform Leader . We are seeking an experienced technology and people leader who is passionate about shaping and delivering enterprise-scale data and analytics platforms that accelerate business innovation and enable data-driven decision making across the company. The successful candidate will join a globally distributed Integrated Enterprise Solutions organization and play a critical role in advancing Corteva's enterprise data and analytics capabilities. This leader will be responsible for defining and executing the vision, strategy, and roadmap for enterprise data and analytics, ensuring they are secure, scalable, governed, and aligned with business objectives. The ideal candidate will bring broad leadership experience spanning data platforms, data engineering, cloud technologies, platform engineering, and data governance. This role requires strong strategic thinking, organizational leadership, stakeholder engagement, and the ability to translate business priorities into modern platform capabilities that enable digital innovation at scale. The successful candidate may be located in Indianapolis, IN, or, for highly qualified individuals, remotely within the United States.

Lead the Enterprise Data and Analytics Platform organization, providing strategic direction, organizational leadership, and talent development. Define and execute the vision, architecture, and roadmap for enterprise data and analytics platforms. Contribute to the development of the enterprise data strategy and drive successful execution across the organization. Deliver scalable, secure, and governed data capabilities that enable advanced analytics, AI, and machine learning solutions. Lead platform engineering efforts supporting technologies such as Databricks, Fabric, Power Platform, cloud data services, data integration, data governance. Partner with business and digital leaders to align platform capabilities with enterprise priorities and strategic outcomes. Establish platform operating models, engineering standards, governance processes, and best practices to ensure reliability, scalability, and operational excellence. Drive adoption of enterprise data platforms, self-service capabilities, and modern engineering practices across the organization. Build and develop a high-performing team while fostering a culture of innovation, accountability, continuous improvement, and operational excellence. Manage vendor relationships, and technology roadmaps to maximize business value and long-term scalability.   Educational Qualifications Master’s, or PhD degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical discipline.

10+ years of progressive leadership experience in data, analytics, platform engineering, or related technology functions. 5+ years of people leadership experience managing managers and technical teams. Demonstrated experience leading enterprise-scale data platforms, cloud-based data ecosystems, and data engineering organizations. Deep knowledge of modern data architectures, data management, cloud platforms, and AI/ML enablement technologies. Experience with cloud and cloud-native data platforms, including Databricks, Microsoft Azure, AWS, or similar technologies. Strong understanding of data governance, security, compliance, and enterprise architecture principles. Proven ability to develop platform strategy, influence senior stakeholders, and deliver large-scale technology transformations. Experience building and leading high-performing, globally distributed technical teams. Excellent communication, collaboration, and executive stakeholder management skills. Demonstrated track record of delivering measurable business outcomes through data and analytics capabilities.

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