Industrial Engineer

Benefits & Perks

• Make a Positive Impact – your work directly contributes to the health and well‑being of Kansans.
• Family Comes First – paid vacation and sick leave with paid maternity and paternity leave available immediately upon hire.
• Professional Growth Opportunities – ongoing training and development programs to advance your career.
• Dynamic Work Environment – collaborate with passionate, driven individuals in a flexible setting.
• Trust and Stability – over 80 years of commitment, compassion and community.
• Inclusive Work Environment – a workplace where everyone is valued and respected.
• Base compensation is part of a competitive Total Rewards package.
• Incentive pay program (EPIP).
• Health, vision, and dental insurance.
• Six weeks paid parental leave for new mothers and fathers.
• Fertility and adoption assistance.
• Two weeks paid caregiver leave.
• 401(k) plan matching up to 5%.
• Tuition reimbursement.
• Health & fitness benefits, discounts and resources.

Job Summary

The Industrial Engineer works directly with functional and operational areas to advance change and develop process‑improvement recommendations to leadership. The engineer completes detailed process analysis and is accountable for determining productivity and cost‑effective improvements. Responsibilities include data collection, analysis, information reporting, tactical and strategic planning, and forecasting.

This position is eligible to work remote, hybrid, or onsite in accordance with the company’s Telecommuting Policy. Applicants must reside in Kansas or Missouri or be willing to relocate as a condition of employment.

Responsibilities

• Provide engineering consulting, including in‑house consultation on process improvement, work measurement, strategic planning, Lean Six Sigma, automation, and special projects.
• Lead and implement corporate and strategic initiatives using project‑management tools to ensure timely completion.
• Develop and recommend solutions to maximize corporate‑wide productivity and efficiency through work measurement, methods improvement, procedure analysis, and workflow analysis.
• Create systems and reports to reduce manual effort, increase user productivity, and improve process efficiency.
• Perform cost analysis to determine cost estimations tied to resources, equipment, and processes.
• Play a key role in developing corporate robotic process automation (RPA) solutions.
• Contribute to improved productivity and quality by participating in the development of training programs, incentive programs, quality programs, and operational and administrative procedures.

Requirements

• Bachelor of Science degree in Industrial Engineering or current enrollment with expected graduation within the next semester (required).
• Master’s degree in engineering, business, finance, or healthcare field (preferred).
• 3 months to 3 years of practical experience in business management, production management, industrial engineering, scheduling systems, or business operational research and analysis (required).
• Lean Six Sigma Black Belt certification (preferred).
• Working knowledge of business operations, work methods, production functions, processes, and workflow (required).
• Experience with healthcare payor business processes (e.g., enrollment/renewals, customer service, claims, finance) (preferred).

Knowledge, Skills & Abilities

• Apply industrial engineering skills across a wide scope of the organization’s operations and functions, handling extremely complex projects that may cross numerous organizational boundaries.
• Participate on project teams undertaking critical strategic projects, leading, planning, organizing, and implementing initiatives.
• Utilize methods design/analysis, job design/analysis, performance management, workflow documentation, work measurement, work simplification, ergonomics/human factors, quality assurance, planning and control, physical facility analysis, and safety to improve quality, efficiency, and effectiveness.
• Complete high‑level mathematical and data analysis to support decision‑making.