Director, Data Science and AI/ML
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
As the Senior Director, Data Science and AI/ML, you will be responsible for building the Warehouse AI strategy for GXO and then design and deploy AI effectively across the GXO network of warehouses. Pay, benefits and more We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more What you’ll do on a typical day:
-
Builds the warehouse AI strategy, including Generative AI Language Model and business use cases.
- Educates broadly across the company on how to build, manage and leverage warehouse AI.
- Collates GXO’s existing use cases of AI for warehouse automation.
- Partners with the regions to explore current usage and capabilities.
- Documents GXO AI library for internal and external stakeholders.
- Builds a global AI framework for warehouse automation.
- Maintains up-to-date records of AI in warehouse automation.
- Develops awareness of current AI service delivery models.
- Identifies future AI use case opportunities for warehouse automation.
- Partners with key leaders to explore viability of AI use cases.
- Builds business cases to propose solutions to increase warehouse automation via AI usage.
- Partners with the Automation Strategy team to define AI development, including translation of AI to P&L.
- Builds business cases around AI in Automation, conducting financial modeling scenarios.
- Partners with regional deployment managers to deploy warehouse AI solutions.
- Provides ad-hoc support as required.
- Partners with IT AI leaders to maximize use cases across the organization.
- Builds governance frameworks around AI usage.
- Develops capabilities across different teams on AI in warehouse automation.
Requirements
-
Bachelor’s degree or equivalent related work or military experience
- 7 years of experience using or implementing AI in operations
- Operational excellence training or background
-
Extensive strategic leadership experience in warehouse automation It’d be great if you also have:
-
10+ years of AI experience within Operations
- MBA or MS
- Excellent verbal/written communication, presentation and listening skills
- Passion for innovation
- Strong problem-solving skills We engineer faster, smarter, leaner supply chains.
About the company
At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of., GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?
What Industries Outside of AI Are Hiring The Most AI Experts?
How to Become an AI Engineer
MLOps – What’s the deal behind it?