Digital Data/AI Enablement Leader

Corning Inc.; Wilmington (NC); On-site; USD 111,000 - 152,000; Full time

Benefits offered by this job

Company bonuses and incentives

100% company-paid pension

401(k) matching

Health, dental, vision benefits

Paid time off

Employee Assistance Program (EAP)

Job summary

Corning Inc. seeks a senior leader to steer manufacturing data strategy, data engineering, and AI/ML initiatives. You will oversee data acquisition, architecture, access, tools, and governance to deliver secure, cost-effective analytics aligned with our business goals.

You’ll manage large teams and drive enterprise standards across distributed manufacturing environments. The role requires 10+ years in IT/manufacturing/engineering and strong cross‑functional collaboration, with a focus on

Qualifications

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

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.

Skills

Data engineering

Leadership

AI/ML knowledge

Communication

Cloud knowledge

Education

Bachelors/Master’s in CS or engineering

Tools

Azure

Databricks

ML platforms

Job description

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.

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.

Required Skills

• 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.

Desired Skills

• 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 skills with the ability to manage ambiguity and competing priorities.
• Proven track record of delivering projects on time, within scope, and within budget while driving operational and service improvements.

This position does not support immigration sponsorship.

The range for this position is $110,618.00 - $152,101.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job‑related factors, including but not limited to geographic location, market demands, experience, training, and education.

A job that shapes a life.

Corning offers you the total package.

• Company‑wide bonuses and long‑term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
• As part of our commitment to your financial well‑being, we provide a 100% company‑paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
• Our health and well‑being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company‑paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
• Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at [e-mail].