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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analyst, Deployment - **Company:** GXO Enterprise Services LLC - **Location:** Greenwich, CT, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software as a Service, Information Systems, Machine Learning, Software Product Management, Software Deployment, Enterprise Software Applications, Generative AI, Information Technology, Deployment Automation, Tools for Reporting - **Published:** August 11, 2026 - **Apply:** https://www.jofdav.com/jobs/59182127-senior-analyst-deployment ## About the Role * 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%). It'd be great if you also have * 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. We engineer faster, smarter, leaner supply chains. ## Description * 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. ## Related Videos - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Microservices? 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