Digital Data/AI Enablement Leader, OFC

Corning Incorporated

Wilmington (NC)

Hybrid

USD 111,000 - 152,000

Full time

18 hours ago
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Benefits offered by this job

Company bonuses
Pension plan
401k matching
Health benefits
Parental leave
Employee assistance

Job summary

Corning Incorporated is seeking a seasoned IT leader to drive manufacturing data analytics and AI/ML initiatives in a global, cost-conscious environment. You will oversee data strategy, architecture, and governance across distributed facilities, enabling secure access and measurable business value.

The role requires strong leadership, deep data platform experience, and excellent stakeholder collaboration to deliver scalable, trustworthy analytics and optimized operations.

Qualifications

  • 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.

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
Communication
Engineering degree

Education

Bachelors or Masters in computer science or engineering

Tools

Databricks
Azure
ML platforms

Job description

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.

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.
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 accommodations@corning.com .

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