Accelleron
Service Coordinator
USA: Deer Park, TX
Sponsorship not specifiedDetected 8 days ago
Project ManagementLogisticsERP
About the role
- Accelleron is accelerating sustainability in the marine and energy industries as a global technology leader in turbocharging, fuel injection, and digital solutions for heavy-duty applications.
- You will join a team of experts in an exciting international environment, committed to excellence and innovation.
- Service Coordinator Job Description: Service Coordinator positions offered by Accelleron US Inc. (Deer Park, TX).
Responsibilities
- Accelleron's 3,000 employees are continuously innovating to deliver best-in-class products, services, and solutions that are mission-critical for the energy transition.
- Coordinate, plan, schedule, and implement all service jobs with necessary resources, spare parts, and logistics for site.
Requirements
- Must be willing to travel domestically and internationally up to 5% of working time, including weekends and holidays
- Experience may be, but need not be, acquired concurrently.
- Must have 5 years of experience in each of the following:
- Responsible for all required reporting and documentation, ensuring that all necessary data has been registered in a timely manner in the system.
Benefits
- Ensure the required quality is delivered and the health, safety, and environmental issues are completely managed.
Company info
- Together, we support our customers in driving the transition toward sustainable industries with cutting-edge technology, deep expertise, and smart solutions.
- Building on a heritage of over 100 years as a trusted industry partner, the company serves customers in more than 100 locations in over 50 countries.
Equal opportunity
- At Accelleron, we foster diversity and inclusion, welcoming and celebrating individual differences as a source of strength.
Apply directly at Accelleron →Create a free account for alerts like thisView Accelleron immigration profile
This listing is sourced directly from Accelleron's careers page and normalized into a canonical job model.