Manufacturing 4.0 Project Manager - #196447


Date: 06/08/2022 06:00 AM

City: Corning, New York

Contract type: Full Time

Work schedule: Full Day

Location: Corning, NY, US, 14831

Company: Corning

Requisition Number: 55916

Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.

Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.

Corning’s Environmental Technologies segment manufactures ceramic substrates and filter products for emissions control in mobile and stationary applications around the world.

Odds are that the email you read this morning traveled over Corning Optical Fiber; the smartphone you used had a Corning cover glass; and the vehicle you drove to work had cleaner emissions because of a Corning catalytic converter substrate. We are seeking out dedicated engineers and technicians who strive to see their work make a difference! If you have a passionate belief in the power of innovation to change the world; if you rate your own success by how many people are touched by your research; and if you are up to the challenge of doing world-class science to make real, profitable advanced materials, then Corning is the place for you.

Corning Incorporated focuses on building a diverse global workforce where differences are celebrated, and employees feel safe bringing their “whole selves” to work. Our Diversity Network hosts 18 active and distinctive Employee Resource Groups. Employees have access to Allyship resources, podcasts, an internal video channel, digital learning series and trainings, all focused on building and celebrating global diversity and inclusion. Corning has been recognized as a leader in this regard and has been consistently recognized as a national employer of choice.

Scope of Position:

  • Lead cross-functional project teams to implement M4.0 technologies to a specific manufacturing site or product line, using existing disciplines from MTE and IT such as process engineering, analytics/ data science, modeling, data engineering, software development, controls, programming, systems engineering, and in the context of Corning’s M4.0 framework.

  • Work with the appropriate disciplines across organizations to ensure end-to-end M4.0 solution is planned and delivered in timely manner.

  • Work as M4.0 Integrator for a specific business or Market access platform, in conjunction with their designated digital leaders.

  • Track and document best practices to accelerate project implementation, both within specific M4.0 projects and for more general program use.

  • Supervise a team of project managers supporting M4.0 projects and programs across multiple business units.

Day to Day Responsibilities:

  • Lead cross-functional manufacturing & engineering projects that include the application of data analytics, machine learning, software development, and modeling.

  • Interface with internal customers to identify areas of opportunity (short and longer term), and define project specifications.

  • Contribute to the development of programs to enhance skill sets that are and will be needed for M4.0 deployment and scale-up across Corning business divisions. Participate in the development of M4.0 components such as the framework, architecture, assessment, and playbook that enable faster implementation and guidance for new projects

  • As integrator for a specific business, work with the business digital leader to drive short and long term plans toward M4.0 maturity through projects and programs.

  • Write and maintain relevant presentations, technical reports and support documentation, and ensure delivery of relevant user training.

Required Education:

  • MS or PhD in engineering, computer science, mathematics and statistics, or a related discipline with specialization or some industry experience in manufacturing 4.0 key technologies such as data analytics & machine learning.

Required Years and Area of Experience:

  • 15+ years of work experience in engineering and manufacturing; specifically, in leading significant process/ product improvements that encompasses M4.0 techniques such as development and deployment of machine learning models, to solve business problems.

  • Experience demonstrated through industrial leadership, academic research projects, significant product/process improvement leadership.

Required Skills:

  • Background in M4.0 technologies and implementation, including applying machine learning techniques and/or physics-based modeling to solve industrial problems.

  • Good working knowledge of the work required to prepare data for analytics purposes, performing exploratory data analysis, mathematical and programming skills such as Python, R and/or MATLAB.

  • Ability to communicate and understand the complex requirements of scientists, engineers and professional staff in the development and deployment solutions and to bridge gaps between “domain” language (engineering, science) and “computing solution” language.

  • Strong interpersonal & presentation skills and ability to work as a leader, team player, or individual contributor.

  • Must be a proactive and solution-oriented problem solver.

  • Ability to lead projects, embrace and drive change

Desired Skills:

  • Broad background in Manufacturing 4.0 capabilities such as IIOT, Edge/cloud computing, data lakes/ pipelines, manufacturing systems and advanced ML/AI and computer vision.

  • Knowledge of emerging technologies and algorithms in computer vision and/or machine learning in general, such as attention algorithms, few-shot learning, etc.

  • Experience working with cloud-based services such as AWS and/or Azure.

  • Knowledge of any other programming languages for scientific computing in Windows and Linux environments (such as C/C++, C#, Java).

  • A foundation in software design principles and knowledge of MPI, OpenMP, or other parallel/distributed computing paradigms.

  • Clear dedication to excellence and advancing beyond the current state.

  • Strong personal motivation.

Travel Requirements:

  • Individual may travel multiple times per year for one to two weeks per visit to other Corning manufacturing plants & locations (domestic and international) or to pursue training opportunities (conferences, classes).

Sound like you?

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