KBI

KBI

Senior Specialist, Operational Excellence

USA - NC - Durham - National Way · Senior · Full-time

Sponsorship not specifiedDetected 22 days ago
Data AnalysisExcelAuditingProcess ImprovementPerformance ManagementGMPProblem SolvingTime ManagementMentoringMicrosoft OfficeLean Manufacturing

About the role

  • This individual will be instrumental in driving continuous improvement initiatives that align with site and global strategy, enhance operational performance, and foster a culture of excellence across functions.
  • A critical component of this role includes performing time and motion studies, standard work analysis, and supporting the implementation of Lean principles in a regulated biomanufacturing environment.

Responsibilities

  • Daily engagement at the Gemba to observe work as it happens, identify waste, and support teams in continuous improvement.
  • Support maturity of SQDCP tiered boards, visual management, and performance escalation from Tier 1 and 2.
  • Lead or support CI projects using PDCA or DMAIC methodology targeting efficiency, quality, and cost improvements.
  • Support deployment of the KBI Business System (Lean Management System) including Daily Management, Visual Controls, Standard Work, Gemba, and Leader Standard Work.
  • Champion a Zero-Loss Culture by empowering shop floor teams to drive daily Kaizen and problem solving.
  • Collaborate with functional teams to create and execute action plans based on Gemba findings and study data.
  • Support the development and maturity of site performance management systems (SQDCP boards, tier meetings, KPI dashboards).
  • Strategic Project Support
  • Conduct process mapping, time studies, and waste analysis to recommend and implement improvements.
  • Collaborate with Digital Enablement teams on systems, automation, and data-driven decision-making.

Requirements

  • Must be able to wear appropriate PPE (e.g., gowns, gloves, hair/beard covers, safety glasses, shoe covers) and follow gowning procedures to enter controlled cleanroom areas and classified environments.
  • Standard hours are aligned with site operations, but flexibility may be required.
  • Weekend Work: Periodic weekend availability may be required to support Kaizen events, system implementations, or cross-functional activities.
  • Knowledge, Skills, Abilities

Nice to have

  • Lean Six Sigma Green Belt certification preferred.
  • Must be proficient with Microsoft programs such as Word, Excel, and PowerPoint
  • Proficient knowledge of MiniTab, PowerBI, and/or Power Automation is a plus
  • Basic office equipment (computer, copy machine, etc.)

Skills

  • Comfortable working in GMP cleanroom environments with appropriate PPE.
  • Strong business and financial acumen with ability to identify and quantify financial benefit from project work
  • Ability to motivate, influence, and coach others under their direct or indirect management
  • Ability to quickly grasp complex technical concepts and make them easily understandable in text and pictures.
  • Utilize problem-solving methodologies (A3, 5 Whys, Fishbone, Root Cause Analysis, RCCM, DMAIC) to address and eliminate chronic issues.

Benefits

  • Must adhere to all Good Manufacturing Practices (GMP) and Environmental, Health, and Safety (EHS) standards.
  • The role may occasionally require coverage or support on alternate shifts, including early morning, evening, or overnight hours, depending on the needs of improvement initiatives or project timelines.
  • Therefore, all qualified applicants, regardless of race, color, national origin, religion, gender, gender identity, sexual orientation, age, disability or veteran status, are strongly encouraged to apply.

Company info

  • I understand that neither the completion of this application nor any other part of my consideration for employment establishes any obligation for KBI Biopharma, Inc. to hire me.

Equal opportunity

  • KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force.

This listing is sourced directly from KBI's careers page and normalized into a canonical job model.