Controls/Automation Engineer

Armstrong World Industries•Lancaster, PA

1d•Onsite

About The Position

Armstrong World Industries has an opportunity for a Project / Sr. Project Engineer focused on advancing manufacturing performance through the integration of mechanical systems, data analytics, and AI-driven solutions. This role operates at the intersection of manufacturing, digital technology, and advanced analytics—driving measurable improvements in plant productivity, reliability, and decision-making. It is an operationally connected role requiring strong plant engagement, cross-functional collaboration, and hands-on problem-solving to bring digital solutions into real-world manufacturing environments.

Requirements

Ability to operate in a fast-paced, operationally intensive environment with strong plant interaction and hands-on engagement.
Strong capability to translate real manufacturing problems into analytical, digital, or AI-driven solutions.
Proven ability to manage multiple projects while balancing technical depth and business priorities.
Strong communication skills with the ability to connect technical outputs to measurable business value.
Ability to influence stakeholders across operations, engineering, and leadership teams.
Practical mindset—able to move from concept → pilot → implementation → scale.
Comfortable working both on the plant floor and in data/analytics environments, bridging the gap between theory and execution.
Bachelor’s degree in Mechanical, Electrical, Industrial Engineering, or related field.
5–10 years of experience in manufacturing, engineering, or digital/analytics roles.
Demonstrated experience applying data analytics, modeling, or AI/ML in industrial settings.
Proven ability to manage projects and drive implementation of new technologies.
Strong communication and stakeholder management skills.

Nice To Haves

Advanced degree or relevant experience in Data Science, Analytics, or AI preferred.
Experience applying AI/ML or advanced analytics in manufacturing or industrial environments.
Strong programming or data analytics background (e.g., Python, SQL, Power BI, Minitab).
Experience with simulation and modeling tools (e.g., FEA, ANSYS, Autodesk, GaBi, Odeon).
Lean Manufacturing and/or Six Sigma certification (Green Belt or higher).
Experience with Agile development methodologies.
Hands-on mechanical aptitude with ability to prototype and work with equipment.
Familiarity with manufacturing processes such as: Conveyors Cutting, sanding, painting, packaging Board mills or similar industrial systems
Experience with 3D modeling software.

Responsibilities

Lead the identification and deployment of AI, data analytics, and modeling solutions across multiple manufacturing plants.
Develop diagnostic, predictive, and optimization models to improve performance and decision-making.
Support and scale technologies such as process monitoring, automated alignment systems, and intelligent detection/measurement tools.
Stay current with emerging technologies in AI, machine learning, and smart manufacturing.
Partner directly with plant teams to identify high-value opportunities and translate them into actionable solutions.
Pilot, implement, and troubleshoot digital and analytical solutions in real manufacturing environments.
Integrate mechanical systems knowledge with digital tools to enhance equipment performance and process capability.
Support adoption of new technologies and ensure solutions deliver measurable business impact.
Lead or contribute to cross-functional projects across R&D, manufacturing, automation, and external partners.
Manage multiple concurrent initiatives, ensuring prioritization and successful execution.
Translate complex technical solutions into clear, actionable business value for stakeholders.
Contribute to AI ideation, innovation sessions, and technology scouting efforts.