Controls/Automation Engineer Job

Armstrong DLW GmbH; Lancaster (Lancaster County); On-site; USD 95,000 - 115,000; Full time

Job summary

A leading manufacturer in Lancaster County is seeking a Controls/Automation Engineer to enhance manufacturing performance through integration of mechanical systems and AI-driven solutions. This role involves leading the deployment of data analytics projects in collaboration with plant teams, focusing on measurable productivity improvements and cross-functional collaboration. Candidates should possess strong technical skills in AI, data analytics, and project management, along with a relevant engineering degree and 5–10 years of experience.

Qualifications

• 5–10 years of experience in manufacturing, engineering, or digital roles.
• Demonstrated experience applying data analytics, modeling, or AI/ML in industrial settings.
• Proven ability to manage multiple projects effectively.

Responsibilities

• Lead AI and data analytics deployment across manufacturing plants.
• Partner with plant teams to implement digital solutions.
• Manage cross-functional projects involving R&D, manufacturing, and automation.

Skills

AI/ML application

Data analytics

Technical communication

Project management

Mechanical aptitude

Education

Bachelor’s degree in Mechanical, Electrical, or Industrial Engineering

Tools

Python

SQL

Power BI

FEA tools (e.g., ANSYS)

Job description

The estimated base salary range for this role is $95,000 to $115,000 per year. Individual pay is based upon location, skills, 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.
• 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 cutting, sanding, painting, packaging, board mills or similar industrial systems, and 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.
• Proven ability to manage projects and drive implementation of new technologies.
• Strong communication and stakeholder management skills.
• Travel: Up to 25% to manufacturing plants, suppliers, and/or conferences.

Armstrong is committed to engaging a diverse, purpose‑driven workforce. As part of our dedication to diversity, AWI is committed to Equal Employment Opportunity and all qualified applicants receive consideration for employment without regard for race, sex, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.