Sr Advanced Supplier Quality Engineer, Predictive Analytics

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.

In this role, you will work remotely and report to our Sr Supplier Quality Engineering Manager.

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.

U.S. PERSON REQUIREMENTS

Due to U.S. export control laws, candidates must be U.S. citizen, U.S. permanent resident, or have protected status under asylum or refugee.

BENEFITS OF WORKING FOR HONEYWELL

In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: https://benefits.honeywell.com/

ABOUT HONEYWELL

Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en

THE BUSINESS UNIT

Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit https://aerospace.honeywell.com/

The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Connecticut, and Hawaii is $102,000 - $127,000. For Washington and most major metropolitan areas in New York & California, the annual base salary range is $108,000 - $135,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 11/7/2025