Controls/Automation Engineer Job

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

Job summary

Armstrong World Industries is seeking a professional in Digital Innovation & Advanced Analytics in Lancaster, PA. The candidate will lead the deployment of AI and data analytics solutions across multiple manufacturing plants while partnering with team members to identify high-value opportunities. Requirements include a Bachelor's degree in Engineering, 5–10 years of experience in relevant roles, and a strong capability in AI/ML and data analytics. Successful applicants will enjoy a competitive salary and up to 25% travel opportunities.

Qualifications

• 5–10 years of experience in manufacturing, engineering, or digital/analytics roles.
• Experience applying AI/ML or advanced analytics in industrial environments.
• Demonstrated experience with data analytics, modeling, or AI/ML in industrial settings.

Responsibilities

• Lead deployment of AI and data analytics solutions across manufacturing plants.
• Partner with plant teams to translate high-value opportunities into actionable solutions.
• Manage cross-functional projects across R&D and manufacturing.

Skills

AI/ML application

Data analytics

Programming (Python, SQL)

Mechanical aptitude

Lean Manufacturing/Six Sigma

Education

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

Advanced degree in Data Science or Analytics preferred

Tools

Power BI

ANSYS

FEA

Autodesk

3D modeling software

Job description

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.

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 to pilot to implementation to scale.
• Comfortable working both on the plant floor and in data/analytics environments, bridging the gap between theory and execution.

Preferred Qualifications

• 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, and 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.
• 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.

EEO Statement

Armstrong is committed to engaging a diverse, purpose‑driven workforce. Armstrong World Industries is an Equal Employment Opportunity employer 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. Armstrong also provides reasonable accommodations for qualified individuals with disabilities and disabled veterans in its job application procedures.