GXO is looking to drive end-to-end implementation of their Warehouse AI platform to improve operational efficiency in their US warehouse sites.
Requirements
- 5+ years’ experience in technical project management, with experience deploying data-intensive or AI/ML solutions
- Background in data analytics or business intelligence implementations, incl. SQL and Power BI skills
- Demonstrated success implementing technology in warehouse/logistics environments
- Experience with warehouse management systems (WMS) and logistics technology
- Strong technical aptitude with ability to understand data flows, warehouse processes, and system integrations
- Understanding of machine learning concepts and data requirements
- Experience in agile project methodologies
Responsibilities
- Lead site implementations from initial assessment through go-live, including requirements gathering, and post-implementation support
- Coordinate between site operations, data science teams, and WMS developers to ensure alignment on requirements, timelines, and deliverables with accountability for meeting deployment timelines
- Develop and deliver comprehensive training programs for warehouse users adapted to site-specific needs in line with the specific solution to deploy, including creating site-specific documentation
- Track and document implementation metrics, ROI validation, and business impact
- Create new and update existing implementation playbooks to facilitate scaling of Warehouse AI rollout
- Drive change management activities on site with responsibility to ensure high adoption rates
- Manage multiple concurrent implementations across different sites
Other
- Bachelor’s degree or equivalent related work or military experience
- Excellent stakeholder management and communication skills across all organizational levels
- Proven ability to drive change in environments with matrix reporting
- Demonstrated warehouse floor experience to build trust with operators
- Ability to translate between technical concepts and operational language to accommodate different audiences
