Maintenance & Reliability Leader — Onsite Plant Excellence

Ingredion Incorporated; Kansas City (MO); Hybrid; USD 124,000 - 165,000; Full time

Job summary

Ingredion Incorporated in North Kansas City, MO is seeking a Maintenance & Reliability Manager to lead asset performance and improvement initiatives on-site. You will oversee maintenance execution, reliability engineering, and asset management strategies to drive safe, reliable operations and cost effectiveness.

The role requires strong leadership, data-driven decision making and cross-functional collaboration to elevate safety, quality and productivity across production assets.

Qualifications

• Experience leading maintenance and reliability programs in manufacturing.
• Strong data analytics and root-cause analysis skills.
• Proven ability to manage cross-functional teams.
• Knowledge of Industry 4.0 initiatives.

Responsibilities

• Lead implementation and sustainability of Ingredion Performance System.
• Standardize operational KPIs and RCA processes.
• Develop and execute asset reliability and maintenance strategies.
• Optimize asset management systems and data analytics (SAP-PM).
• Drive safety, quality, cost, and production improvements through reliability initiatives.

Skills

Operations experience

Engineering background

Reliability improvements

Project management

Data-driven decision making

Cross-functional collaboration

Education

Bachelor’s degree in mechanical, Electrical, Electronics, Electromechanical, Automation Engineering, or related technical field

Tools

SAP-PM CMMS

Job description

Ingredion Incorporated in North Kansas City, MO is seeking a Maintenance & Reliability Manager to lead asset performance and improvement initiatives on-site. You will oversee maintenance execution, reliability engineering, and asset management strategies to drive safe, reliable operations and cost effectiveness.

The role requires strong leadership, data-driven decision making and cross-functional collaboration to elevate safety, quality and productivity across production assets.