Agilent Technologies
Refurbishment Center Manager
US-DE-Wilmington · Full-time
Sponsorship not specified$112k-$175kDetected 2 days ago
AccessibilityProject ManagementSAPOperations ManagementSupply ChainLogisticsProcess ImprovementLeadershipCommunicationCollaborationProblem SolvingLean Manufacturing
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odds of building a lasting career here
54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role78
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- This role plays a critical part in Agilent's commitment to delivering high-quality, sustainable solutions that extend instrument life cycles while providing exceptional value to our customers.
- Ensure safe, efficient, and compliant refurbishment, testing, and release of instruments.
- Ensure all refurbished instruments meet Agilent's Certified Pre-Owned quality standards and performance specifications.
Responsibilities
- Lead the day-to-day operations of the Certified Pre-Owned refurbishment team.
- Manage production schedules, workforce planning, and capacity to meet customer demand and delivery commitments.
- Drive operational performance through key metrics related to quality, productivity, delivery, and customer satisfaction.
- Lead a team of technical experts responsible for troubleshooting, repairing, configuring, upgrading, and testing multiple instrument platforms across the Agilent portfolio.
- Support resolution of complex technical issues and escalations.
- Partner with business units and engineering teams to incorporate product updates, configuration changes, and best practices into refurbishment processes.
- Lead projects to introduce new products and instrument configurations into the Certified Pre-Owned portfolio.
- Drive process improvements that enhance quality, throughput, and customer experience.
Requirements
- Bachelor's degree in Engineering, Manufacturing, Science, Operations Management, or a related field.
- Demonstrated leadership experience in manufacturing, production, service, refurbishment, or technical operations.
- Experience with Agilent instruments.
- Knowledge of Lean Manufacturing, Six Sigma, and Operational Excellence methodologies.
- Familiarity with regulated quality systems and product certification processes.
- Experience with reverse logistics, material handling, and SAP ERP.
- Required
- Strong problem-solving, project management, and continuous improvement capabilities.
- Ability to lead in a fast-paced environment with competing priorities.
- Preferred
- Additional Details
- This job has a full time weekly schedule. Applications for this job will be accepted until at least September 10, 2026 or until the job is no longer posted.
- The full-time equivalent pay range for this position is $111,840.00 - $174,750.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations
Skills
- Excellent communication and cross-functional collaboration skills.
Compensation
- The full-time equivalent pay range for this position is $111,840.00 - $174,750.00/yr plus eligibility for bonus, stock and benefits.
Benefits
- Foster a culture of technical excellence, continuous learning, and knowledge sharing.
Company info
- If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030.
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This listing is sourced directly from Agilent Technologies's careers page and normalized into a canonical job model.