Sr Corporate Engineering Lead

Owens CorningToledo, OH
Hybrid

About The Position

The Manufacturing Technology & Analytics Leader is responsible for identifying, deploying, and enabling the use of manufacturing technologies and analytics across the Roofing network. This role serves as a change agent, focused on ensuring digital tools, analytics, and technologies are successfully delivered into plants and effectively utilized by site teams to support safety, quality, stability, productivity, and cost goals. This position partners closely with Digital Manufacturing, Data & Analytics, IT/OT, and other enterprise teams, serving as the primary Roofing point of contact, while translating enterprise platforms into practical, plant-ready solutions. Success in this role is defined by deployment, adoption, and effective utilization of tools, rather than direct ownership of site performance results.

Requirements

  • Bachelor’s degree in Engineering, Manufacturing, Computer Science, Data Analytics, or related discipline
  • 5+ years of experience in manufacturing, engineering, analytics, or digital transformation roles
  • Demonstrated experience leading teams and driving change in a manufacturing environment
  • Ability to travel up to 50%–70%

Nice To Haves

  • Experience identifying, piloting, and scaling manufacturing technology or analytics solutions
  • Experience deploying and enabling adoption of digital tools across multiple sites
  • Exposure to AI, advanced analytics, or industrial data platforms
  • Background in continuous manufacturing (Roofing or building materials preferred)
  • Experience partnering with IT/OT and enterprise analytics teams
  • Demonstrated people leadership capability with experience developing technical and analytics talent
  • Strong manufacturing acumen combined with analytics and data fluency
  • Ability to translate technology and analytics into practical operational use
  • Strong analytical and problem-solving skills
  • Exceptional written and verbal communication skills
  • Ability to manage multiple priorities in a dynamic manufacturing environment

Responsibilities

  • Ensure a safe work environment through employee coaching and engagement.
  • Champion Owens Corning’s Safety Stand across all manufacturing technology and analytics initiatives.
  • Ensure new technologies, analytics solutions, automation, and digital tools are designed and deployed with safety as a core requirement.
  • Effectively communicate safety expectations to internal teams and external partners.
  • Lead the identification, evaluation, and deployment of manufacturing technologies across the Roofing network.
  • Focus on delivering technologies into plants and enabling effective usage, rather than direct ownership of results.
  • Partner with plant leadership to ensure tools are aligned to operational needs and usable in daily work.
  • Support standardization and scalability, avoiding one-off or site-specific solutions.
  • Execute the digital transformation strategy by matching technologies with business needs.
  • Identify and deploy enabling solutions that close performance gaps, create business value, and support scalable, data-driven solutions across the Roofing network.
  • Lead a disciplined approach for pilot, validation, rollout, and scaling of digital tools and analytics.
  • Ensure tools are successfully deployed across sites and embedded into operations.
  • Provide hands-on support, coaching, and guidance to drive adoption at the plant level.
  • Ensure solutions are practical, simple, and used by frontline teams.
  • Drive replication of successful solutions across the network.
  • Ensure appropriate governance, documentation, and sustainment plans are in place to support long-term use.
  • Enable deployment and use of analytics tools to improve visibility, decision-making, and structured problem solving.
  • Ensure analytics outputs are accessible, understandable, and used by plant teams.
  • Partner with enterprise teams to ensure strong data quality and scalable analytics capability.
  • Support integration of analytics into daily management systems.
  • Support plants in leveraging tools to remove losses and improve performance.
  • Provide data, insights, and technology enablement to site teams.
  • Reinforce sustainment practices so tools remain in use over time.
  • Drive standardization of tools, platforms, and deployment approaches across plants.
  • Ensure development of OPLs, SOPs, playbooks, and training materials.
  • Enable knowledge capture and reuse across plants to reduce variability.
  • Operate effectively in a matrix environment, influencing outcomes beyond direct authority.
  • Act as the connector between plant operations and enterprise digital teams.
  • Communicate technical and analytical concepts clearly to plant teams, site leaders, and leadership.
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