Quality Management: Promotes accuracy, repeatability, and sustainment; avoids “AI for AI’s sake.”
Publish simple, trustworthy metrics, dashboards, and playbooks that enable widespread use.
Complete required training and achieve certification in the unified Six Sigma + AI curriculum; thereafter, when assigned, train and mentor, engineers, analysts, and other plant personnel in the methodology and tools.
Advance the Autopilot Vision through digital twins, virtual Design of Experiments (DOEs), and multivariate process control, real-time optimization, predictive maintenance, and automated decisioning.
Identify and automate routine/manual/transactional processes to reduce errors and cycle time and free talent for higher-value problem solving.
Analytical: Interpret complex information; designs effective experiments and analyses.
Ensure all solutions comply with applicable regulations, policies, and cybersecurity requirements.
Lead change management to overcome adoption barriers; communicate progress and results clearly to all levels.
Apply statistical methods and machine learning (e.g., time-series, regression/classification, anomaly detection, optimization) to uncover patterns across thousands of variables and augment human decision-making.
Learn and apply robust data practices (quality, lineage, security) and Machine Learning Operations (MLOps) (versioning, validation, deployment, monitoring, retraining, rollback) to ensure safe and reliable model use.
Change Leadership: Drives adoption across plants and corporate; removes barriers to scale.
While performing the duties of this job, the employee may work around moving mechanical parts, at elevated heights, where dusts and fumes could be present in the air, with or in proximity to chemicals, in hot environments, around electrical equipment, and in a loud environment. The employee must have the ability to understand and mitigate these and other risks, including by following all prescribed safety rules, and must have the ability to wear appropriate personal protective equipment, if necessary.
Execute assigned high-impact projects (provide input to charters as needed); manage scope, timeline, and stakeholders; track benefits and sustainment.
Use LLMs to accelerate knowledge capture, interfaces to plant and corporate data, and workflow automation.
Promote disciplined experimentation, Statistical Process Control (SPC), and hypothesis-driven problem solving.
Collaborate across Operations, the Operations Center of Excellence, and Corporate Process Excellence to standardize, replicate, and scale proven solutions enterprise-wide.
Lead projects using a combined Six Sigma method + AI playbook tightly aligned to plant and corporate priorities; deliver sustained, auditable value.
Maintain documentation and change control consistent with TAMKO standards.
Travel up to 15% to plants and corporate locations for discovery, implementation, training, and replication.
While performing the duties of this job, the employee must be able to position himself/herself to operate, inspect, troubleshoot, repair, and/or maintain heavy plant equipment. This may require climbing stairs/ladders, bending, kneeling, crawling, squatting and/or stooping. The employee must frequently lift and/or move up to 10 pounds, occasionally lift and/or move up to 50 pounds, and may occasionally lift or move heavier objects with assistance.
Capable of learning new technical systems and using operational data. Manufacturing exposure is a plus, not a requirement.
An understanding of the basics of building, deploying, and maintaining analytics/models and an eagerness to learn MLOps.
Excellent communication skills; ability to translate technical insights for non-technical audiences and create clear reports, dashboards, and training materials.
Proven ability to lead cross-functional teams and deliver results through influence and change leadership.
Communication: Presents clearly; tailors messages for both technical and business audiences.
Bachelor’s degree in Engineering, Computer/Data Science, Mathematics, or related STEM field; or equivalent combination of education and experience totaling 4–10 years of relevant experience in manufacturing/process improvement, data/analytics, or automation.
Business Acumen: Aligns initiatives with strategy and value creation; measures impact.
Problem Solving: Uses data and structured thinking to develop and evaluate alternatives.
Technical Depth: Builds knowledge in AI/ML, statistics, data engineering, and industrial processes.
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
Information not given or found
Company
Overview
1944
Year Founded
The company started as a leading manufacturer of roofing and building products.
Known for its innovative approach to asphalt roofing shingles and other residential and commercial building materials.
Over the years, the company has expanded its product lines to include waterproofing, insulation, and siding products.
Typical projects include large-scale residential communities, commercial properties, and infrastructure developments.
The company operates multiple manufacturing facilities across the U.S., ensuring a robust supply chain for its diverse range of products.
Recognized for its high-quality, durable, and reliable building materials that cater to diverse market needs.
Culture + Values
20–40+ Years
Employee Tenure
Many employees have served with the company for over 20 years, reflecting long-term investment in their growth and career progression.
16% Hire Veterans
Veteran Leadership
The company prioritizes hiring veterans and military-trained individuals for leadership roles, recognizing their unique skills and discipline.
“honesty, integrity and compliance” as core values
“Constancy of Purpose” toward continuous improvement using Six Sigma, AI/ML
“Zero Incident Safety Culture (ZISC)” mantra: “If it’s not safe, don’t do it”
Family‑led, multigenerational leadership with deep community stewardship
Employee engagement through service award banquets, chili cook‑offs, softball leagues, holiday events
Preference for hiring veterans and military‑trained individuals for leadership roles
Environment + Sustainability
1.1B lbs Recycled
Materials Recycled Since 2013
Over 1.1 billion pounds of recycled materials have been used in operations since 2013, including paper, cardboard, sawdust, and plastic.
54M lbs Reintroduced
Materials Returned to Production
54 million pounds of materials were reintroduced into production, reducing waste and promoting circularity.
70M ft³/year Reduced
Air Emissions at Phillipsburg, KS
Air emissions at the Phillipsburg, KS facility were reduced by 70 million cubic feet per year, contributing to improved air quality.
25% Emissions Cut
Loading-Related Idling Reduction
Loading-related idling emissions at the Dallas facility were reduced by 25%, lowering the environmental impact of operations.
Invested in asphalt shingle recycling company in 2023 to incorporate recycled asphalt into new shingles
Inclusion & Diversity
No public DEI strategy or gender‑related statistics available on official website or LinkedIn