Lean AI, Industrial Engineer

Airlife; Glendale (AZ); On-site; USD 95,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) with company match

Paid time off & holidays

Bonus eligibility

Job summary

AirLife in Phoenix/Glendale, AZ is seeking an Industrial Engineer to blend traditional industrial engineering methods with applied AI and analytics to optimize distribution center labor, productivity, and equipment utilization.

You will develop AI-enabled labor standards, dashboards, and predictive models, train operations teams, and support continuous improvement through CI/Lean methods. Occasional travel up to 10% may be needed to support sites.

Qualifications

• Bachelor's degree or higher in Industrial Engineering or equivalent (Supply Chain, Operations, Engineering, Logistics).
• 3+ years in Industrial Engineering.
• 1+ years with AI applications in supply chain or similar.

Responsibilities

• Develop, validate, and maintain time-studied standards using AI-assisted time-and-motion analysis.
• Create a culture of performance management with leader standard work and KPI tracking.
• Provide training to operations teams on labor management systems.
• Create a productivity playbook using CI/Lean principles and technology.
• Develop and deploy AI/ML models to support data-driven decisions (demand and labor forecasting, predictive maintenance).
• Build AI-enabled dashboards and reporting tools for real-time KPI visibility.
• Evaluate layouts, MHE and equipment for productivity improvements using simulation and AI-driven modeling.

Skills

Data-driven decision making

Labor management

Industrial engineering

AI/ML knowledge

statistical analysis

Education

Bachelor's in Industrial Engineering

Tools

Power BI

MS Office

Python

SQL

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time AZ Phoenix, Glendale, AZ, US

COMPANY DESCRIPTION

At AirLife, we are dedicated to improving the quality of every breath. Excellence with Every Breath is not just a tag line, but the way we work and take care of our customers. With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality and market-leading breathing consumables. This growth philosophy has positioned us to increase our global footprint and business reach, impacting even more people around the world. Our expanding family of the most trusted brands offers a product portfolio that spans the continuum of care from first responder to home care, with safety, patient comfort, and clinical performance in mind. Collective expertise allows us to provide quality products and experiences to our patients, customers, and our people. Our values of Customer first, Differentiate with our People, Bias for Action, Continuous Improvement and Accountability define who we are and how we work. Join us!

POSITION SUMMARY

The Industrial Engineer will provide engineering and project support to Distribution Centers by combining traditional industrial engineering methods with applied AI and advanced analytics. Drive labor optimization by improving productivity through engineered labor standards, AI-driven forecasting and predictive models, KPI’s, automation technology, and continuous improvement initiatives supports day-to-day distribution center performance through data analytics, machine learning models, labor management analysis, and visual management tools. This role focuses on using statistical analysis, AI/ML techniques, and operational data to improve labor efficiency, productivity, predictive maintenance, and workflow visibility within the distribution center while supporting continuous improvement initiatives.

POSITION QUALIFICATIONS

Knowledge, Skills, & Abilities:

• Distribution center/logistics concepts – understanding of warehousing best practices.
• Ability to drive decision making through data and relevant business metrics.
• Ability to resolve problems in a timely manner with little or no supervision.
• Excellent verbal and written communication skills.
• Strong interpersonal skills and ability to work cross functionally.
• Must be able to utilize problem solving techniques to identify root causes of failures and solutions to meet targets.
• Strong business planning and analytical skills including market intelligence, metrics, financial and analysis.
• Ability to manage project portfolio of varying priorities and impact value.
• Strong computer skills including Power B.I, MS Office and MSD/MOST experience preferred; proficiency with Python, SQL, or similar tools for data analysis and predictive modeling a plus.
• Experience applying machine learning or statistical modeling to operational problems (e.g., demand forecasting, labor forecasting, predictive maintenance) preferred.
• Familiarity with simulation or discrete-event modeling tools (e.g., Arena, FlexSim, AnyLogic) a plus.
• Continuous improvement experience and knowledge of CI methodologies preferred.
• Experience within the distribution/warehouse/logistics industry preferred.
• Proficient in RF Scanning and Warehouse Management Systems preferred.
• Experience in semi and fully automated material handling systems a plus.

Level of Experience:

• 3+ years of work experience in Industrial Engineering.
• 1+years of work experience with AI application in supply chain or similar

Level of Education:

• Bachelor's degree or higher in Industrial Engineering or equivalent degree such as Supply Chain, Operations, Engineering, Logistics is required.

Travel:

• Up to 10%.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Develop, validate, and maintain time-studied standards for overall operation and for each function, leveraging AI-assisted time-and-motion analysis and predictive labor models where applicable
• Create a culture of performance management through leader standard work, productivity meetings and KPI
• Provide training to operations teams on labor management and associated systems
• Create a playbook of productivity improvements using CI/Lean principles and technology
• Develop and deploy AI/ML-based models (e.g., demand and labor forecasting, predictive maintenance) to support proactive, data-driven decision-making
• Build and maintain automated, AI-enabled dashboards and reporting tools to increase real-time visibility into labor, throughput, and equipment KPIs
• Write all SOP’s for operations and ensure employee training program in place
• Evaluate and make recommendations on layouts, MHE and other equipment to optimize productivity, using simulation and AI-driven scenario modeling to validate changes before implementation.

OTHER RESPONSIBILITIES

• Uphold and embody AirLife’s values in all aspects of work.
• Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety.
• Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity.
• Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits.
• Contribute to building and maintaining a positive team environment.
• Assure all policies and guidelines are implemented and followed.

QUALITY POLICY

At AirLife, Quality is our promise. It is our commitment to customer satisfaction and our dedication to product excellence in an evolving global healthcare market. This promise is kept through a continuously improving and effective Quality Management System and compliance to Regulatory Requirements.

DEIA STATEMENT

At AirLife, we are committed to building a diverse workforce and an inclusive workplace that reflects the communities and customers we serve. We believe our philosophy on Diversity, Equity, Inclusion, and Advancement (DEIA) encourages excellence and equips us to serve an evolving global marketplace.

BENEFITS

AirLife offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k), paid time off, paid holidays, bereavement leave, Employee Assistance Program resources, and medical leave benefits, subject to applicable eligibility requirements. Certain positions may also be eligible for bonus, commission, or other incentive compensation.

Please note:

The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.