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Director, Artificial Intelligence - Hybrid

XPO, Inc. - Country US

Posted Jun 12, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
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Verification
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Salary
$190K-$237K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$61,842 U.S. median for this role
Projected growth (BLS Employment Projections)
+1.9% - Slower

246% above the BLS role benchmark for operations aggregate.

Posted salary is far from this role benchmark; treat it as low confidence.

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Operations From the posting source checked Jun 20, 2026
Seniority
Director Plus From the posting source checked Jun 20, 2026
Work mode
Hybrid From the posting source checked Jun 20, 2026
In-office days
2 days From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Director, Artificial Intelligence - Hybrid Country US What you'll need to succeed as a Director, Artificial Intelligence at XPO: Minimum Qualifications: Bachelor's degree or equivalent related work or military experience 7 years of data science, operations research and/or software engineering experience in Artificial Intelligence and Machine Learning with a proven track record of building and deploying AI models. 5+ years of experience years of leading, managing, and developing highly talented teams. Strong technical background and deep understanding of Machine Learning with practical experience in building and implementing large-scale predictive models and recommendation systems. Excellent communication and collaboration skills with the ability to influence partners and customers with data insights and expertise. Proficient in AI frameworks (e.g., PyTorch) and programming languages (e.g., Python), with experience in building and deploying AI models for end-to-end AI/ML solutions. Preferred qualifications: Master's degree or PhD, or equivalent experience in Data Science, Information Technology, Applied Mathematics, Engineering, Computer Science or related field. 12+ years of experience leading, managing, and developing highly talented teams. Proven leadership experience in data analytics and AI, or a related role, with a strong background in designing and implementing data science solutions. Prior experience leading technical engagements across data engineering, data science, AI, and Gen AI workstreams. Strong leadership and pro

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