Senior Analyst, Deployment

GXO Logistics•Greenwich, CT

About The Position

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. At GXO Logistics, we invest hundreds of millions in technology every year to deliver innovative solutions that help our customers succeed. As the Deployment Lead, AI Products, you will play a critical role in driving the successful deployment and adoption of enterprise AI tools across corporate functions, including IT, HR, Finance, Procurement, and Legal. In this role, you'll partner with cross-functional teams to enable business transformation through AI, ensuring users are equipped, engaged, and positioned to realize measurable value. Join a fast-paced, collaborative environment where you'll have the opportunity to shape how AI is integrated across the organization and drive meaningful change on a scale.

Requirements

Bachelor’s degree in business, Information Systems, Technology, Change Management, or a related field, or equivalent work experience.
4+ years of experience in deployment, implementation, technical project management, digital enablement, or a related field.
Experience deploying enterprise software, SaaS platforms, AI solutions, analytics tools, automation technologies, or other digital business applications.
Experience supporting organizational change management, user adoption, employee enablement, and technology rollout initiatives.
Strong project coordination, implementation planning, and deployment execution skills.
Ability to translate technical concepts into practical, user-focused guidance for diverse audiences.
Excellent stakeholder management, facilitation, and relationship-building skills across business and technology organizations.
Strong verbal and written communication skills with the ability to engage technical and non-technical audiences at all organizational levels.
Experience working within matrixed organizations supporting multiple cross-functional stakeholders and competing priorities.
Intermediate understanding of artificial intelligence, generative AI, and enterprise AI use cases.
Strong analytical, organizational, problem-solving, and prioritization skills.
Demonstrated ability to manage multiple concurrent projects while maintaining high-quality delivery.
Willingness to travel on a limited basis (typically less than 10%).

Nice To Haves

Experience supporting enterprise functions such as Information Technology, Human Resources, Finance, Procurement, or Legal.
Experience deploying AI, machine learning, generative AI, automation, or advanced analytics solutions at enterprise scale.
Familiarity with enterprise technology adoption frameworks, implementation methodologies, and deployment best practices.
Experience developing training programs, user guides, communications, and enablement content for large-scale technology implementations.
Knowledge of organizational change management methodologies and enterprise transformation initiatives.
Experience supporting enterprise-wide digital transformation programs.
Demonstrated ability to influence stakeholders, drive adoption, and lead change without direct authority.
Experience working in fast-paced environments with evolving priorities, emerging technologies, and multiple concurrent initiatives.
Passion for leveraging AI to improve productivity, decision-making, employee experience, and business outcomes across the enterprise.

Responsibilities

Lead end-to-end deployment of enterprise AI products, from readiness assessments and implementation planning through go-live, hypercare, and post-deployment support.
Partner with AI Product Management, IT, Security, Change Management, and business stakeholders to coordinate deployment activities and ensure successful delivery.
Develop and deliver training programs, user enablement materials, communications, and adoption strategies tailored to diverse business functions and user communities.
Drive organizational change management initiatives that promote user adoption, behavioral change, and sustained utilization of AI solutions.
Identify, engage, and support business champions and power users to strengthen deployment success and accelerate adoption across the enterprise.
Monitor and report on deployment performance metrics, including user adoption, utilization trends, business value realization, return on investment, and user feedback.
Support measurement and validation of business outcomes to ensure AI initiatives deliver measurable operational and business impact.
Develop, maintain, and continuously improve deployment playbooks, implementation standards, templates, and best practices for enterprise AI rollouts.
Communicate AI concepts, deployment plans, and implementation impacts clearly to both technical and non-technical stakeholders.
Facilitate deployment planning sessions, readiness reviews, stakeholder alignment meetings, and implementation checkpoints.
Manage multiple concurrent AI deployments in a matrixed global organization while proactively identifying, communicating, and mitigating delivery risks.
Collaborate with cross-functional teams to continuously improve deployment processes, user experiences, and enterprise AI adoption strategies.