Senior Corporate Reliability Engineer

ASR Group is the world’s largest refiner and marketer of cane sugar, with an annual production capacity of more than 6 million tons of sugar. The company produces a full line of grocery, industrial, food service and specialty sweetener products. Across North America, ASR Group owns and operates six sugar refineries, located in Louisiana, New York, California, Maryland, Canada and Mexico. In Europe, the company owns and operates sugar refineries in England and Portugal. ASR Group also owns and operates mills in Mexico and Belize. The company’s brand portfolio includes the leading brands Domino®, C&H®, Redpath®, Tate & Lyle®, Lyle’s® and Sidul®.

 

 

 

 

OVERVIEW

The role of the Senior Reliability Engineer (Sr. RE) is to identify and mitigate risks that could adversely affect plant or business operations. The Sr. RE provides leadership and technical expertise in support of asset management strategies and associated practices, to ensure maximum equipment reliability at minimum life cycle cost. This self-driven, self-motivated individual works equally well independently or as a part of a team. The Sr. RE must be capable of analyzing conditions, performing technical troubleshooting, and identifying the root cause(s). The Sr. RE must be capable of communicating and building consensus for solutions to issues. The Sr. RE assists in training and mentoring of mechanics in electrical, mechanical, hydraulic, and pneumatic maintenance and repair of assets. The Sr. RE is responsible for evaluating asset/equipment conditions using invasive and non-invasive practices/technologies to monitor equipment for early signs of deteriorating condition allowing for early prediction and failure analysis. They document and oversee mitigation and intervention of identified issues to ensure that the temporary/permanent resolution is planned, scheduled, and implemented.  This role is instrumental in driving consistency of best reliability practices across all of the manufacturing locations.

 

 

DETAILED ROLES & RESPONSIBILITIES

• Guides efforts to ensure reliability and maintainability of equipment, processes, utilities, facilities, mechanical, electrical, control, and safety/security systems.
• Defines, develops, administers, and refines the asset management plans, maintenance plans, and preventive/predictive maintenance programs.
• Reduces and improves maintenance work wherever feasible, assuring efficient and productive operation of processes and equipment. Protects and prolongs the economic life of assets at the lowest practical cost.
• Be proactive in addressing strategic long-term problems/issues affecting the organization.
• Be a team player that champions and leads the reliability process.
• Can communicate and build relationships with various functional, engineering, and business leaders to drive continuous improvement.
• A self-starter capable of managing multiple priorities with minimal oversight; working as a single entity with the ability to influence others to gain alignment.
• Supports the capital project process to ensure the reliability and maintainability of new and modified installations.
• Participates in the qualification and validation of capital installations to ensure adherence to functional specifications.
• Guides designs to ensure reliability and maintainability of equipment and processes.
• Participates in the design review of capital additions and changes to ensure full life cycle maintainability of equipment, utilities, and facilities.
• Participates in approval of all new installations, including those done by contractors, to ensure their maintainability and reliability follows life cycle costing methods.
• Supports the Asset Operating Plan that provides standardized processes and procedures for proper operation and operator care of production, utility, and auxiliary assets.
• Develops engineered solutions to mitigate repetitive failures and problems that adversely affect plant availability, performance, capacity, quality, cost, or regulatory compliance.
• Be competent with data analysis techniques that can include:
  • Statistical Process Control
  • OEE Overall Equipment Effectiveness
  • Reliability modeling and prediction