As the Director of People Data Science, you will serve as a strategic advisor to Human Resources, Finance, and business leadership, leading the enterprise People Analytics and Data Science function. This role transforms workforce data into insights that influence board‑level decisions, enterprise talent strategy, and long‑range workforce planning, while ensuring scalable, secure, and modern analytics capabilities.

You will report directly to our Leader of HR Data Analytics and you’ll work out of our Phoenix, AZ location on a Hybrid work schedule.

YOU MUST HAVE

• 8 or more years of experience leading teams focused on data analysis, statistical modeling, or another related field.
• Proven experience delivering large, complex analytics and data‑science initiatives in enterprise environments.
• Strong leadership, organizational, and stakeholder‑management capabilities.
• Experience influencing executive and board‑level decisions using data and analytics.
• Hands‑on technical proficiency in:
• Python and/or R for analytics, modeling, and automation
• Statistics and machine learning techniques (predictive modeling, experimentation, validation)
• Experience working with cloud analytics platforms such as AWS, Azure, or Google Cloud Platform.
• Experience designing or overseeing dashboards and analytics solutions using Power BI, Tableau, and/or Alteryx.

WE VALUE

• Bachelor’s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline.
• Six Sigma Green Belt, Black Belt, or equivalent experience applying continuous‑improvement methodologies in analytics or HR environments.
• Experience applying machine learning, GenAI, and advanced analytics within HR, talent, or workforce contexts.
• Strong understanding of data architecture, analytics platforms, and modern BI ecosystems.
• Ability to align technical analytics capabilities with business and HR strategy.
• Strong data storytelling and executive communication skills.
• Experience with Six Sigma or continuous improvement methodologies.

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-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 visit: click here* (https://benefits.honeywell.com/)*

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.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: 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 about Honeywell: click 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 click here* (https://aerospace.honeywell.com/)*.

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. Learn more about inclusion and diversity :click here* (https://www.honeywell.com/us/en/company/inclusion-and_diversity)*

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. Learn more about inclusion and diversity :

#AERO26

KEY RESPONSIBILITIES

Enterprise People Analytics & Strategy:

• Define and execute the enterprise people analytics and data science strategy, advancing from descriptive reporting to predictive, prescriptive, and AI‑enabled insights.
• Develop analytics roadmap aligned with workforce strategy, operating plans, and digital transformation initiatives.

Board & Executive Decision Support:

• Develop board and executive‑level materials, delivering actionable insights that inform compensation design, workforce planning, recruiting strategy, and leadership investment decisions.
• Translate advanced analytics into clear, executive‑ready narratives and recommendations.

Organization Design & Organizational Health:

• Partner with Organization Design and Workforce Planning leaders to assess and optimize organizational structure, spans of control, leadership layers, and workforce scalability.
• Apply statistical modeling and machine learning to identify leading indicators of attrition, engagement shifts, and leadership risk, enabling proactive intervention.

Executive, Engagement & Sentiment Analytics

• Deliver advanced survey, sentiment, and behavioral analytics that influence leadership development, compensation strategy, and workforce planning.
• Measure ROI of leadership and talent programs through experimental design, statistical analysis, and longitudinal modeling.

Advanced Analytics & AI Enablement:

• Lead the design and deployment of machine‑learning and predictive models (e.g., attrition risk, engagement trends, workforce demand).
• Apply statistical methods (regression, hypothesis testing, causal inference) to validate insights and support decision‑making.
• Ensure ethical, compliant, and explainable use of AI and advanced analytics in people‑related decisions.
• Provide technical leadership across analytics platforms and tools, including:
• Python and R for data science, modeling, and analytics automation
• Power BI, Tableau, and Alteryx for visualization, analytics workflows, and self‑service insights
• AWS, Azure, and Google Cloud Platform (GCP) for scalable analytics, data pipelines, and ML enablement
• Ensure analytics solutions are scalable, secure, and aligned with enterprise architecture standards.