Lead Supplier Quality Engineer - Digital Analytics

THE BUSINESS

Honeywell International Inc. (NYSE : HON) is a global technology and manufacturing company that invents and commercializes solutions to address some of the world's most critical challenges. With a diverse portfolio spanning multiple industries, Honeywell is committed to introducing state-of-the-art technology solutions that improve efficiency, productivity, sustainability, and safety in high-growth businesses. Our broad range of products and services includes aerospace systems, building technologies, performance materials, safety and productivity solutions, and more. We leverage our expertise in software, hardware, and engineering to develop innovative solutions that enhance the quality of life for people around the globe.

With a strong commitment to inclusion and diversity, Honeywell fosters a culture of innovation, collaboration, and continuous improvement. We prioritize integrity, ethics, and workplace respect in everything we do. Our behaviors, such as innovating and creating value for customers, embracing transformation, and driving accountability, shape our performance culture and drive our success. As a global company, Honeywell operates in more than 70 countries and serves customers in over 150 countries. We have a strong presence in key industrial end markets and are dedicated to delivering exceptional customer experience and driving sustainable growth.

THE POSITION

When working at Honeywell, you are a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future.

That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.

Are you ready to make a difference, work on most impactful projects influencing our business and be at heart of revolution to create a world class supply chain? In Supplier Engineering we're finding innovative, collaborative ways to improve delivery and quality of our suppliers creating vital link between our supply chain, internal factories and our customers.

Come be a part of team of future shapers that :

Proactively reviews supplier capabilities, assess operational gaps to identify risks and takes systematic actions to develop a world class supplier.

Is globally responsible for all supplier development, quality improvement and sustainment.

Systematically drives Root Cause Corrective Action (RCCA) investigations to prevent defects.

Works directly with sourcing, business, engineering and our customers on strategies to improve product quality and delivery.

Identifies and leads the implementation of continuous improvement projects.

Are leaders creating a performance culture with our suppliers through coaching and technical engagement.

We are seeking a skilled Predictive Analytics Specialist to join our aerospace supplier quality team to take on the challenge to shape and advance our supply chain through predictive analytics. It will be a ground-breaking role within our supply chain that involves leveraging advanced analytics techniques to predict risk events, identify potential quality issues, and provide actionable insights that enhance our quality and customer management processes. The successful candidate will collaborate closely with quality engineers, manufacturing teams, and data analysts to foster a proactive approach to quality assurance in the aerospace sector on top of demonstrating effective communication skills to senior management, have a big picture strategic mindset, handle multiple priorities, influence, and solve complex problems.

KEY RESPONSIBILITIES

Data Analysis and Predictive Modeling :

Develop, implement, and utilize predictive models to forecast risk events and quality variations in the manufacturing process.

Apply statistical tools and machine learning techniques to analyze historical data, identifying trends, anomalies, and root causes of quality issues.

Insights Generation :

Transform complex data sets into clear, actionable insights that inform decision-making processes within the quality organization.

Deliver presentations and reports that summarize findings, recommendations, and predictive insights to various stakeholders, including senior management.

Collaboration with Cross-Functional Teams :

Work closely with quality assurance, engineering, and production teams to understand their needs and incorporate their insights into the predictive modeling process.

Assist in the development of strategies for continuous improvement based on predictive analytics findings.

Coach team members on how to leverage analytics to make decisions

Provide training sessions and workshops to enhance the data literacy of team members and promote a culture of data-driven decision-making.

Supply Chain Analytics and Risk Management :

Establish key performance indicators (KPIs) for quality metrics and develop dashboards to monitor these metrics in real-time.

Identify early signals of potential risk events and quality issues, facilitating proactive investigations and interventions.

Establishing Strategies and Processes

Design and implement tools for data collection, analysis, and reporting that enhance predictive analytics capabilities.

Document processes, methodologies, and analytical techniques, ensuring best practices are followed and knowledge is shared across the organization.

YOU MUST HAVE

Bachelor's degree in Data Science, Statistics, Engineering, or a related field.

Proficiency in Python or R

Proficiency in SQL

Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software.

WE VALUE

Minimum of 3-5 years of experience in predictive analytics, ideally within an aerospace or manufacturing context.

Strong knowledge of quality management principles and risk assessment methodologies within the aerospace industry.

Strong communication skills both verbal and written. Including customer reporting.

PMP Certification

Ability to interface effectively with all levels of leadership.

A change agent with excellent interpersonal and leadership skills

Proven problem-solving skills, including ability to interpret business performance and financial data, define actions, and implement solutions.

Effective collaboration skills to motivate and influence others at various levels without a direct reporting relationship.

US PERSONS REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.