Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver.
To support Project Manager including tracking project status of deliverables and milestones, issue coordination, planning, reporting, and coordinating activities in support of quality objectives.
Ensuring procedures are followed for the registration of infrastructure project requests, recording of project plans and progress; archiving key contractual documentation; and the creation of key information required projects to start and to be billed.
Developing a close working relationship with the supplier PMOs and the teams to ensure that the process for getting infrastructure projects delivered is as efficient as possible.
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Scope Definition & Task Breakdown: Work within contracted project scope and further divide it into detailed tasks and milestones to ensure clear deliverables and realistic timelines.
Project Planning & Execution: Create comprehensive project plans with defined tasks, timelines, and dependencies; coordinate execution and ensure adherence to project schedules.
Team Leadership & Coordination: Lead and manage project teams consisting of data engineers, data scientists, analysts, and other technical personnel; facilitate collaboration across cross-functional teams and ensure clear communication of tasks and expectations.
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Lead end-to-end project delivery, from technical discovery and solution scoping through on-premise deployment and final handover.
Work hands-on with CCTV / video surveillance environments — IP cameras, NVRs, video management systems (VMS), and live video feeds — to plan and execute AI Vision deployments across client sites.
Plan and oversee on-premise server and software deployment: hardware sizing, Linux environments, containers (Docker), networking, and security considerations, in partnership with our engineers.
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Build and lead the project delivery function: hire, mentor, and manage project managers; set delivery standards, playbooks, and KPIs.
Own portfolio-level delivery — timelines, budgets, quality — across all concurrent AI Vision, system integration, and enterprise deployment projects.
Personally lead the largest, most complex programs: CCTV / video surveillance rollouts, multi-site on-premise server and software deployments, and agentic AI initiatives (multi-agent orchestration systems, natural-language query layers over real-time vision event data, LLM tool-use and automation).
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