Manager, Strategic Analytics

Manager, Strategic Analytics

** Date:
** Jun 1, 2026

*
* Location:

** Corning, NY, US, 14831

Charlotte, NC, US, 28216

** Company:
** Corning

Requisition Number: 74904

** 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, automotive, and solar 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

+ Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

** Role Purpose*
* This role is part of a strategic finance group, Data Science & Intelligence, which delivers analysis and insight to support strategic decisions and financial operations. The group leverages core competencies in: corporate finance, quantitative finance, and data science. Strategic finance focuses on identifying and reaching long-term business strategy goals, including growth, capital allocation, valuation, and portfolio optimization. It uses unified advanced technology providing real-time data for analyzing and making decisions.

The Manager will report to the Director of Finance Data Science.

** Key Responsibilities*
* - Support VP Corporate Strategy and Director Finance Data Science on corporate finance initiatives

- Build and maintain financial models to assist in evaluating business decisions, investment opportunities, and scenario outcomes

- Work with advisors to evaluate Corning's financial performance with external, investor perspective

- Evaluate potential investment opportunities, conduct due diligence, and provide financial analysis and recommendations

- Lead quarterly processes for enterprise intrinsic value and fair value of investments reported externally

- Design and maintain analytics to enhance cash-based decision-making and bring a value based perspective to capital allocation processes

- Evaluate and leverage quantitative analysis to identify potential financial risks and opportunities within Corning's renewable energy initiatives and portfolio

- Stay informed on current news and events in financial markets, including but not limited to relevant M&A transactions and investor campaigns

** Experiences/Education - Required*
* - MBA or bachelor's degree in finance, accounting, or a related field with 5+ years of progressive experience in finance, business, or strategic planning.

- Strong analytical and quantitative skills, with a proven ability to develop and interpret financial models.

- Excellent communication and presentation skills, with the ability to convey       complex financial concepts to Senior   Leadership and non-financial stakeholders.

- Strategic thinker with the ability to anticipate market trends and competitive dynamics.

- Proficiency in financial software and tools

- Must possess a quantitative approach to analyzing data and solving problems

- Strong understanding of corporate finance topics including but not limited to discounted cash flow analysis, options  pricing theory, real options, modern portfolio…