Digital Data/AI Enablement Leader, OFC

Requisition Number: 77366   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 global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.  Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.  IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.   Role Purpose:   Lead strategy, governance, and delivery of manufacturing data, data engineering, and AI/ML capabilities by overseeing data acquisition, architecture, access, tools, and operational processes to drive secure, cost-effective, business-aligned analytics outcomes.   Key Responsibilities:

Lead manufacturing data acquisition for scalable analytics and AI. Drive AI and analytics adoption with measurable business value Govern data assets across distributed manufacturing environments. Manage data ingestion priorities, resources, and service metrics. Align pipeline priorities with Division Engineering and business goals. Promote enterprise data engineering standards, tools, and best practices. Scale Databricks data engineering capabilities for agility and efficiency. Evolve Databricks architecture for future business and technology needs. Govern secure, appropriate enterprise data access. Oversee access reviews, audits, and compliance controls. Oversee software asset inventory and version governance. Manage sustainable operations for deployed AI/ML solutions.

Bachelors or Master’s in computer science or engineering (or related field). 10+ years’ work experience in IT, manufacturing, engineering or related Industry. Data engineering pipeline lifecycle management, such as ingestion, transformation, orchestration, testing, deployment, and monitoring. Proven leadership of large teams and business-critical commitments, such as production support, platform delivery, transformation programs, and operating reviews. Strong communication, influencing, and relationship-building skills, such as executive updates, stakeholder workshops, vendor engagement, and cross-functional alignment.

Manufacturing industry experience with MES, SCADA/controls, ERP, and related manufacturing technologies. Six Sigma certification/experience and demonstrated use of structured problem solving and continuous improvement methodologies. PMP certification or proven project/program leadership experience. Knowledge of AI, cloud, and data platforms, including technologies such as Azure, Databricks (or similar Data Lakehouse architectures), and ML platforms. Broad technical expertise across cloud, data, integration, cybersecurity, automation, and enterprise applications. Experience leading global, cross-functional teams and delivering results in complex, fast-paced environments. Strong planning, prioritization, analytical, and problem-solving