Director, Equipment & Technical Service Performance

Rich Products Corporation

Job Location:

Buffalo, IA - USA

Monthly Salary: $ 149722 - 249536

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Richs also known as Rich Products Corporation is a family-owned food company dedicated to inspiring possibilities. From cakes and icings to pizza appetizers and specialty toppings our products are used in homes restaurants and bakeries around the world. Beyond great food our customers also gain insights to help them stay competitive no matter their size. Our portfolio includes creative solutions geared at helping food industry professionals compete in foodservice retail in-store bakery deli and prepared foods among others. Working in 100 locations globally with annual sales exceeding $4billion Richs is a global leader with a focus on everything that family makes possible. RichsInfinite Possibilities. One Family.

Purpose Statement

The Director of Equipment Fleet Performance leads the strategy analytics and continuous improvement initiatives that maximize the reliability availability and lifecycle value of the companys equipment fleet. This role oversees the collection interpretation and application of data from IoT connected assets to drive operational excellence reduce downtime and optimize total cost of ownership. The director partners closely with operations maintenance engineering and technology teams to turn data insights into measurable performance improvements. The ideal candidate is a true expert in data modeling and big data environments capable of transforming massive complex datasets into predictive insights and actionable strategies.

Key Accountabilities and Outcomes

Fleet Performance & Reliability Strategy
Develop and execute a comprehensive fleet performance strategy grounded in data analytics predictive insights and reliability engineering principles.
Establish KPIs and performance dashboards that track equipment health utilization and lifecycle trends.
IoT Data Analytics & Insights
Oversee the ingestion quality and governance of data from IoT connected equipment telematics systems and maintenance platforms.
Build and maintain advanced data models that support predictive maintenance anomaly detection and failure forecasting.
Work with large complex datasets using modern big data tools and architectures.
Translate complex data into actionable insights for 3rd party service providers customer operations teams Richs leadership and cross functional stakeholders.
Reliability Improvement Initiatives
Drive initiatives that reduce unplanned downtime and extend asset life
Partner with engineering on root cause analysis (RCA) efforts and ensure corrective actions are implemented and sustained.
Partner with 3rd party service providers and equipment operations teams at freal customers to standardize best practices and optimize service performance.
Cross Functional Leadership
Collaborate with IT engineering and OEM partners to enhance data connectivity sensor capabilities and diagnostic tools.
Provide leadership and coaching to analysts reliability engineers and performance specialists.
Communicate fleet performance trends and recommendations to executive leadership.
Technology & Innovation
Evaluate emerging technologies in IoT telematics predictive analytics and fleet management systems.
Champion digital transformation initiatives that improve equipment visibility and decision making.
Ensure cybersecurity and data integrity standards are upheld across all connected equipment.

Knowledge Skills and Experience

Bachelors degree in engineering data science operations or related field; advanced degree preferred.
10 years of experience in fleet performance reliability engineering industrial IoT or equipment operations.
Demonstrated experience in data-driven fleet performance improvement in foodservice for fleet size greater than 30000 placements.
Deep expertise in data modeling statistical analysis and working with large scale datasets.
Hands on experience with big data platforms cloud analytics environments and modern data engineering tools.
Strong understanding of predictive maintenance reliability methodologies (RCM FMEA) and asset lifecycle management.
Experience leading cross functional teams and managing complex technical programs.
Excellent communication skills with the ability to influence at all levels of the organization.
Tavel 10-15% may be required.
Experience utilizing SQL Python Tableau PowerBi or other similar software for data analysis.#LI-HM1 #CORP123

COMPENSATION

In accordance with state law the rate or range provided is Rich Products Corporation its subsidiaries and affiliates (Richs) reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience knowledge skills abilities shift differential and location.

Annual Range/Hourly Rate

$149722.00-$249536.00

Rich Products Corporation its subsidiaries and affiliates (Richs) are committed to a policy of Equal Employment Opportunity standing up for fairness and maintaining a culture of belonging to provide an exceptional experience for all. We will not discriminate against an applicant or employee on the basis of race color religion sex national origin disability military or veteran status or any other Federal or State legally protected classes. The information collected by this application is solely to determine suitability for employment verify identity and maintain employment statistics on applicants.

Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Richs. Please contact Richs Associate Experience Network at if you need assistance completing this application or to otherwise participate in the application process.

Required Experience:

Director