Data Engineering and Analytics Manager

Requisition Number: 77751   The company built on breakthroughs. ​   Join us.​                                                                                Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​     How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​     ​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​      ​Come break through with us.   The Specialty Materials segment manufactures products that provide more than 150 material formulations for glass, glass ceramics and fluoride crystals to meet demand for unique customer needs. Consequently, this segment operates in a wide variety of commercial and industrial markets that include display optics and components, semiconductor optics components, aerospace and defense, astronomy, ophthalmic products, telecommunications components and cover glass that is optimized for portable display devices.   Scope of the Role The Division Data Engineering and Analytics Manager is responsible for leading the design, delivery, and ongoing improvement of the division’s data engineering and analytics foundation. This role will oversee the development and support of scalable data pipelines, cloud-based data platforms, and curated data assets that enable trusted reporting, analytics, and future advanced analytics use cases. This leader will play a critical role in stabilizing and maturing the current data engineering and Databricks environment, establishing delivery standards, and strengthening the data foundation needed to support business insights and decision-making. The role will also help shape and enable broader analytics capabilities by partnering with business, functional, and technology teams to ensure data is reliable, governed, and fit for use. The ideal candidate combines strong data engineering and platform experience with people leadership, delivery discipline, and an understanding of how data supports analytics, business performance, and future advanced analytics opportunities. This role reports to the Senior Manager, Division Data & Analytics (Division Data Office) and works closely with business stakeholders, functional partners, enterprise IT, analytics teams, and data governance partners.   Key Responsibilities Data Engineering and Platform Leadership

Lead the day-to-day management, support, and enhancement of the division’s data engineering environment, including Databricks and related data platform capabilities.

Analytics Enablement

Build and maintain curated, trusted, and reusable data assets that support reporting, dashboards, self-service analytics, and business intelligence.

Team Leadership and Delivery Management

Lead, coach, and develop data engineering resources, including internal team members and partners as applicable.

Data Quality, Governance, and Controls

Drive platform data governance partnering with business, and functional stakeholders to improve data quality, lineage, controls, and ownership across the data lifecycle.

Future-State Analytics and Advanced Analytics Enablement

Help build the data foundation required to support future advanced analytics, data science, and AI use cases.

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field. 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles. 2+