Division Data & Analytics Transformation Manager

Requisition Number: 69035

 

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.  

 

Corning’s businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with: 

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
• Precision glass for advanced displays to deliver richer experiences 
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation 

 

Corning Advanced Optics is seeking a visionary and execution-focused Division Data and Analytics Manager to lead data strategy, analytics delivery, and governance practices across the division. This role will serve as the key liaison between business functions and the corporation’s enterprise Data Management Organization (DMO) to ensure that data is managed as a strategic asset—maximizing its value, quality, and security. This role will be responsible for transforming data into insights that drive operational excellence while embedding robust governance and stewardship frameworks at all levels.

 

Why Join Us? At Corning Advanced Optics, we believe that data is one of our most valuable assets. As the Division Data and Analytics Manager, you’ll play a critical role in shaping how our organization captures, governs, and uses data to drive performance, innovation, and growth. This is more than a data role—it’s a strategic leadership position at the heart of our transformation.

 

Responsibilities:

• Drive execution of division “data as an asset” strategy to enable value realization, profitable growth, efficient scalability, differentiation, and competitive advantage. 
• Drive a culture that treats data with the same rigor and intention as financial, human, or physical capital. 
• Identify high-value data domains and create roadmaps for improving their quality, availability, and business use. 
• Lead team of Data Engineers, Data Analysts, and DMO in a solid line and dotted line (matrixed structure)
• Serve as the data governance lead for the division and coordinate with the corp./enterprise DMO to align standards, tools, and metadata practices. 
• Implement and monitor data governance policies including stewardship assignments, data lineage, quality KPIs, and issue escalation. 
• Ensure compliance with enterprise data frameworks and applicable regulatory requirements (e.g., GDPR, HIPAA). 
• Oversee the creation of scalable analytics solutions, dashboards, and models to unlock value from internal and external data sources. 
• Partner with business units to understand data needs, surface actionable insights, and enable data-informed decision-making. 
• Track adoption and impact of analytics initiatives through defined KPIs and ROI metrics. 
• Establish and oversee data stewardship processes to uphold data integrity across critical systems and workflows. 
• Develop standards for data ownership, quality measurement, and issue remediation.
• Partner with IT to ensure that technical architecture supports reliable, governed, and accessible data. 
• Team & Stakeholder Engagement
• Lead and grow a high-performing team of data professionals including analysts, data engineers, and data stewards.