Staff Engineer, LSS Black Belt

Integra LifeSciences

Massachusetts

On-site

USD 120,000 - 170,000

Full time

14 days+
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Job summary

Integra LifeSciences is seeking a Staff Engineer, Lean Six Sigma Black Belt to drive high-impact continuous improvement across Global Supply Chain & Operations. You will apply DMAIC, advanced statistical methods, and cross-functional collaboration to improve quality, service, cost and throughput in a regulated life-sciences environment.

You will coach Green Belts, lead Kaizen events, design standard work, and develop dashboards for performance and governance, reporting to the Director of

Qualifications

Responsibilities

  • Lead large-scale, high-complexity Lean Six Sigma initiatives across multiple sites and global value streams.
  • Coach Green Belts, support CI training, and mentor teams on KPI design and problem-solving.
  • Design and sustain enterprise dashboards and performance systems for long-term improvements.

Skills

Lean Six Sigma
DMAIC
Statistical modeling
Cross-functional collaboration
Coaching Green Belts

Tools

DOE
MSA
Monte Carlo simulation
Multivariate analysis

Job description

Changing lives. Building Careers.


Joining us is a chance to do important work that creates change and shapes the future of healthcare. Thinking differently is what we do best. To us, change equals opportunity. Every day, our colleagues are challenging what's possible and making headway to innovate new treatment pathways to advance patient outcomes and set new standards of care.


The Staff Engineer, Lean Six Sigma Black Belt is a key practitioner within Integra's Global Supply Chain & Operations organization, responsible for leading high-impact continuous improvement projects that enhance quality, service, cost, throughput, and operational stability across the enterprise.


Reporting to the Director, Operational Excellence, this role executes the Lean Six Sigma strategy, applies advanced problem-solving methodologies, and partners directly with site leaders, Supply Chain, Quality, and cross-functional teams to drive measurable operational results. The Black Belt also contributes to capability building by coaching Green Belts, supporting CI training, and modeling the behaviors required to sustain a culture of operational excellence in a regulated life-sciences environment. A critical part of this role is supporting the implementation and maturation of Daily Management and tiered accountability review processes across global operations.


SUMMARY DESCRIPTION

The Lean Six Sigma Black Belt (Staff Engineer) is a key practitioner within Integra's Global Supply Chain & Operations organization, responsible for leading high-impact continuous improvement projects that enhance quality, service, cost, throughput, and operational stability across the enterprise. Reporting to the Director, Operational Excellence, this role executes the Lean Six Sigma strategy, applies advanced problem-solving methodologies, and partners directly with site leaders, Supply Chain, Quality, and cross-functional teams to drive measurable operational results. The Black Belt also contributes to capability building by coaching Green Belts, supporting CI training, and modeling the behaviors required to sustain a culture of operational excellence in a regulated life-sciences environment. A critical part of this role is supporting the implementation and maturation of Daily Management and tiered accountability review processes across global operations.


KEY RESPONSIBILITIES

Project Leadership & Execution


  • Lead large-scale, high-complexity Lean Six Sigma initiatives impacting multiple sites, functions, or global value streams.

  • Serve as a technical expert in DMAIC, advanced statistical modeling, and experimental design; independently apply DOE, MSA, Monte Carlo simulation, and multivariate analysis.

  • Develop enterprise project charters, align stakeholders across functions, and remove systemic barriers to execution.

  • Influence long-term operational strategy by identifying structural waste, systemic constraints, and capability gaps.


Lean Deployment, Daily Management & CI Methodologies


  • Shape and advance Lean deployment strategy across global operations, ensuring alignment with enterprise priorities.

  • Facilitate major Kaizen events, value-stream redesign initiatives, and cross-site improvement efforts with full autonomy.

  • Lead deployment and maturation of Daily Management Systems at the site and enterprise tier, including system design, capability building, and governance.

  • Provide expert coaching to Tier 1-3 leaders on KPI design, problem-solving rigor, escalation pathways, and accountability cycles.

  • Design, implement, and sustain standard work systems, visual management, and process controls across functions or sites.


Coaching & Capability Building


  • Mentor and elevate the capabilities of Sr Engineers, Green Belts, process owners, and future Black Belts.

  • Lead delivery of LSS curriculum, including advanced tools training, belt certification, and hands-on coaching for complex projects.

  • Serve as a role model for enterprise-wide continuous improvement culture, influencing senior leaders and cross-functional teams.


Operational Integration & Cross-functional Collaboration


  • Act as a strategic technical partner to Engineering, Quality, Manufacturing, Supply Chain, and Commercial teams.

  • Ensure improvement initiatives meet or exceed regulatory, quality, and compliance requirements with minimal oversight.

  • Collaborate with Finance to validate and forecast benefits across large portfolios and improvement pipelines.

  • Influence cross-functional decision-making by applying data-driven recommendations and systems-level insights.


Performance Measurement & Reporting


  • Design enterprise dashboards, advanced control plans, and performance systems to ensure long-term sustainability of improvements.

  • Present concise, strategic updates to executive sponsors, translating statistical insights into business decisions.

  • Lead contributions to global maturity assessments, including evaluation of L

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