Leads a six- to twelve-month manufacturing transformation focused on eliminating waste, increasing throughput, and improving margins. Responsibilities include value stream mapping, bottleneck optimization, changeover and cycle-time reduction, line balancing, scrap and rework reduction, standard work, visual management, Kaizen facilitation, and financial validation. The lead will establish daily management systems and train site personnel to sustain improvements after the engagement. The role requires on-site work five days per week with frequent CONUS travel.
Contract | 6–12 months | Day rate + expenses | Travel M–F, CONUSThe mandate
A defined window, a defined number. You are brought in to find waste on the factory floor and convert it into throughput and margin inside six to twelve months, then transfer the capability to the site team before you leave.
This is a hands-on floor role. You will spend your days at the process, not in a conference room building decks.
What you'll own- Value stream mapping across the primary product families
- Constraint identification and throughput improvement at the bottleneck
- Changeover reduction, cycle time improvement, and line balancing
- Scrap, rework, and first-pass-yield improvement through structured root cause work
- Standard work, visual management, and tiered daily accountability
- Kaizen event planning and facilitation, with financial validation on each
- Capability transfer: training and certifying site personnel so the gains hold post-engagement
A quantified improvement pipeline with financial validation, a functioning daily management system, and a site team capable of running the next wave without you.
What you bring- Lean Six Sigma Black Belt or Master Black Belt, or equivalent demonstrated depth
- 10+ years driving improvement in discrete or process manufacturing environments
- A record of financially validated results — improvements the controller agreed to book
- Ability to teach and coach at every level, from operator to plant manager
- Credibility on the floor. Operators decide within a day whether they are going to work with you.
- Willingness to be on site five days a week
Strong plus: TPM and predictive maintenance deployment; PE-backed environments; prior work inside a formal business system such as the VDS Business System®; training and facilitation experience.
2. FINANCIAL LEADERSHIP & RESTRUCTURINGSimilar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Own customer deployments of AI products from discovery through launch. Analyze complex customer data, identify discrepancies, resolve blockers, coordinate with customer and internal teams, and partner with Product and Engineering on issue resolution and product improvements. Establish repeatable deployment processes, documentation, and communication practices while managing risks, decisions, and progress across stakeholders.
Top Skills:
AISpreadsheets
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Own multi-year identity security adoption roadmaps for strategic enterprise accounts. Architect governance across human, machine, and AI agent identities; advise C-suite and engineering leaders; translate regulations into security architectures; quantify breach-risk reduction, compliance gains, and cost avoidance; support renewals and expansions; synthesize cross-account patterns for product and engineering teams; contribute thought leadership and mentor advisors.
Top Skills:
Ai Agent SecurityData Access SecurityEnterprise Security ArchitectureFedrampHarbor PilotIdentity And Access Management (Iam)Identity Governance And Administration (Iga)Machine Identity SecuritySailpoint Agentic FabricSailpoint Identity Security Cloud
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.
Top Skills:
Amazon EksAWSCi/CdFedrampGitopsGoGrafanaHelmInfrastructure As CodeIstioKubernetesLinkerdLinuxNetwork PoliciesOpensearchPci DssPod Security StandardsPrometheusPythonRbacService MeshShell ScriptingTerraform
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
