Lean Six Sigma Black Belt | Manufacturing

Honeywell Technologies; Ciudad Juárez; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Honeywell Technologies is seeking a Lean Six Sigma Black Belt Manufacturing professional to lead cross-functional process-improvement initiatives. You will apply DMAIC, DOE, hypothesis testing, regression, and SPC to drive measurable safety, quality, delivery, cost and customer outcomes.

This role partners with Finance and operations to translate improvements into ROI and builds a culture of continuous improvement across functions.

Formación

• Bachelor's degree from an accredited institution in Engineering, Manufacturing, Quality, Operations, Statistics, or a related technical discipline.
• Lean Six Sigma Black Belt certification.
• Demonstrated experience leading DMAIC projects in a manufacturing or industrial environment.
• Hands-on experience with advanced statistical analysis, including Design of Experiments, hypothesis testing, regression, SPC, process capability, and Measurement Systems Analysis.
• Experience applying Lean manufacturing methods such as Value Stream Mapping, SMED, standard work, flow, pull, Kanban, and mistake-proofing.
• Experience leading cross-functional teams and communicating technical findings to operators, engineers, business leaders, and executives.

Responsabilidades

• Lead complex, cross-functional improvement projects using DMAIC with clear charters, milestones, governance, and control plans.
• Apply Design of Experiments, hypothesis testing, analysis of variance, regression, and other advanced statistical methods to identify critical process drivers and optimize operating parameters.
• Establish and sustain Statistical Process Control systems, including control charts and reaction plans, to detect assignable-cause variation before defects occur.
• Conduct Measurement Systems Analysis and Gage R&R studies to confirm data and inspection system accuracy.
• Use Value Stream Mapping, Kaizen, SMED, standard work, flow, pull systems, Kanban, and Just-in-Time principles to remove non-value-added activity and improve throughput.
• Lead Process FMEA and risk-reduction activities; implement error-proofing and preventive controls to improve process robustness.
• Quantify benefits in partnership with Finance, converting improvements in scrap, cycle time, downtime, inventory, labor, and capacity into validated savings and ROI.
• Manage project scope, resources, risks, schedules, and stakeholder communications to ensure improvements are delivered on time and sustained.
• Partner with Manufacturing, Engineering, Quality, Supply Chain, Sourcing, Finance, and Operations teams to align site-level execution with business priorities.
• Coach and mentor Green Belts, Yellow Belts, engineers, and operations teams in problem solving, statistical thinking, and continuous improvement methods.
• Lead change adoption by engaging stakeholders, communicating the case for change, and embedding new practices into daily management systems.
• Promote Honeywell safety, integrity, quality, and compliance expectations throughout all improvement activities.

Conocimientos

DMAIC

Statistical analysis

DOE

Hypothesis testing

Regression

SPC

Gage R&R

Value Stream Mapping

Kaizen

SMED

Standard work

Kanban

Just-in-Time

Cross-functional leadership

Problem solving

Educación

Bachelor's degree in Engineering

Lean Six Sigma Black Belt certification

Descripción del empleo

Job Description

As a Lean Six Sigma Black Belt Manufacturing at Honeywell, you will lead high-impact process improvement initiatives that strengthen safety, quality, delivery, cost, and customer outcomes. You will combine advanced data analysis, Lean Six Sigma methods, and manufacturing expertise to eliminate waste, reduce variation, improve process capability, and translate operational performance into measurable business results. Working across functions and organizational levels, you will guide complex projects from definition through sustained control while building a culture of continuous improvement.

Responsibilities

• Lead complex, cross-functional improvement projects using the Define, Measure, Analyze, Improve, and Control (DMAIC) methodology, with clear charters, milestones, governance, and control plans.
• Apply Design of Experiments, hypothesis testing, analysis of variance, regression, and other advanced statistical methods to identify critical process drivers and optimize operating parameters.
• Establish and sustain Statistical Process Control systems, including appropriate control charts and reaction plans, to detect assignable-cause variation before defects occur.
• Conduct Measurement Systems Analysis and Gage R&R studies to confirm that production data and inspection systems are accurate, repeatable, and reproducible.
• Use Value Stream Mapping, Kaizen, SMED, standard work, flow, pull systems, Kanban, and Just-in-Time principles to remove non-value-added activity and improve throughput.
• Lead Process FMEA and risk-reduction activities; implement error-proofing and preventive controls to improve process robustness and manufacturing readiness.
• Quantify benefits in partnership with Finance, converting improvements in scrap, cycle time, downtime, inventory, labor, and capacity into validated savings and return on investment.
• Manage project scope, resources, risks, schedules, and stakeholder communications to ensure improvements are delivered on time and sustained.
• Partner with Manufacturing, Engineering, Quality, Supply Chain, Sourcing, Finance, and Operations teams to align site-level execution with business priorities.
• Coach and mentor Green Belts, Yellow Belts, engineers, and operations teams in problem solving, statistical thinking, and continuous improvement methods.
• Lead change adoption by engaging stakeholders, communicating the case for change, and embedding new practices into daily management systems.
• Promote Honeywell safety, integrity, quality, and compliance expectations throughout all improvement activities.

Qualifications

YOU MUST HAVE

• Bachelor's degree from an accredited institution in Engineering, Manufacturing, Quality, Operations, Statistics, or a related technical discipline.
• Lean Six Sigma Black Belt certification.
• Demonstrated experience leading DMAIC projects in a manufacturing or industrial environment.
• Hands-on experience with advanced statistical analysis, including Design of Experiments, hypothesis testing, regression, SPC, process capability, and Measurement Systems Analysis.
• Experience applying Lean manufacturing methods such as Value Stream Mapping, SMED, standard work, flow, pull, Kanban, and mistake-proofing.
• Experience leading cross-functional teams and communicating technical findings to operators, engineers, business leaders, and executives.

We Value

• Master's degree in Engineering, Operations, Business, or a related discipline.
• Honeywell Lean Expert, Six Sigma Black Belt, or Master Black Belt certification.
• Experience in high-mix, regulated, or global manufacturing environments.
• Demonstrated ability to validate significant annual productivity, cost, quality, or capacity benefits with Finance.
• Strong business acumen and experience preparing executive-level project updates and investment recommendations.
• Experience coaching Belt candidates and building continuous improvement capability across an organization.
• Knowledge of digital manufacturing, data visualization, automation, or Industry 4.0 applications.
• Ability to influence without authority, manage resistance, and sustain change across diverse teams and cultures.

About Us

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.