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Chief Data Officer

Honeywell

Chief Data Officer

Honeywell

Phoenix, AZ, United States, US

·

On-site

·

Full-time

·

3w ago

The future is what we make it. When you join Honeywell Aerospace, you become part of a 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. Working at Honeywell Aerospace isn’t just about developing cool things—it’s about building a smarter, safer, and more sustainable world.

This role is responsible for defining product roadmaps, driving innovation, and ensuring seamless integration of AI and data capabilities across enterprise systems to create measurable business value.

Qualifications:

  • Experienced Product Manager / CPO with strong AI / ML Background
  • Experience in data science, classical AI and generative AI solutions. Experience in Databricks and Snowflake preferred.
  • Bachelor’s degree in computer science, Data Science, or related field; Master’s preferred.
  • 15 plus years of experience in IT architecture, data engineering, and AI solution design.
  • Proven track record in enterprise integration and product lifecycle management.
  • Strong leadership and stakeholder management skills.

Benefits:

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: Benefits at Honeywell

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.

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.

Key Responsibilities:

  • Provide direct leadership to a team of managers and technical experts, setting clear expectations, developing talent, and driving a high‑performance culture across the organization.
  • Product Roadmap Ownership: Design, develop, and own product roadmaps for AI and Data products aligned with business strategy.
  • Vision & Value Creation: Define vision and deliver measurable value through AI and Data-driven solutions.
  • Solution Architecture Design: Architect integrated solutions with robust data pipelines connecting enterprise systems such as ERP, SFDC, and PLM.
  • Concept-to-Solution Ownership: Drive initiatives from ideation through deployment ensuring scalability and performance.
  • AI Registry & CMDB Management: Maintain AI registry and configuration management database for governance and compliance.
  • Integrated User Experience: Design seamless user experiences across AI and Data platforms for intuitive adoption.

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About Honeywell

Honeywell

Honeywell

Public

The future is what we make it.

10000+

Employees

Charlotte

Headquarters

Reviews

3.2

4 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.0

Career

3.0

Management

2.5

Pros

Good team and helpful colleagues

Fair pay and good benefits

Training and resources available

Cons

Limited job progression

Old boys club culture

High expectations with unclear answers

Salary Ranges

1,391 data points

Mid/L4

Senior/L5

Mid/L4 · Data Analyst II

2 reports

$136,600

total / year

Base

$105,077

Stock

-

Bonus

-

$136,600

$136,600

Interview Experience

4 interviews

Difficulty

2.5

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Hiring Manager Interview

5

Panel Interview

6

Online Assessment

7

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm

Culture Fit