Controls​/Automation Engineer ; Lancaster, PA,

Position: Controls/Automation Engineer Job (Lancaster, PA, US, 17603)
Primary location:
Lancaster, Pennsylvania

Relocation offered:
No

Employment status :
Full-Time

Travel: 11%-25%

Non-compete:
No

The estimated base salary range for this role is $95,000 to $115,000 per year.

Individual pay is based upon location, skills and expertise, experience and other relevant factors

Controls/Automation Engineer

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.

What You'll Be Doing

Digital Innovation & Advanced Analytics

* 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.

Plant Engagement & Implementation

* 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.

Project Leadership & Cross-Functional Collaboration

* 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.

What Will Make You Successful

* 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.

What Makes You Stand Out

* 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.

Qualifications

* Bachelor's degree in Mechanical, Electrical, Industrial Engineering, or related field.

* Advanced degree or relevant experience in Data Science, Analytics, or AI preferred.

* 5-10 years of experience in manufacturing, engineering, or digital/analytics roles.

* Demonstrated experience applying data analytics, modeling, or AI/ML in industrial settings.

*…