IT Project Manager (Remote)

<div><strong>Role: IT Project Manager<br>Experience: 8+ Yrs of Relevant experience as IT PM.<br>Location: Remote<br>Shift Timing: UK Shift(2:30 pm -11:30 pm IST)</strong></div><div><strong><br>About Us</strong></div><div>At Codvo, we build scalable, future-ready digital platforms that drive real business impact. We foster a culture of innovation, collaboration, and ownership—where designers work closely with product and engineering teams to deliver high-quality, user-centered experiences. If you thrive in complex product environments and care deeply about design quality from concept to production, this role is for you.<br></div><div><strong>Role Summary<br></strong>We are hiring Project Managers for a <strong>global data center and digital infrastructure client</strong> operating in high-performance environments supporting <strong>AI/ML workloads</strong>.</div><div>Candidates should bring <strong>relevant domain awareness</strong>, including exposure to:</div><ul style="margin-top:0cm;" type="disc"><li>Edge AI & IoT ecosystems</li><li>Sensor data processing pipelines</li><li>Predictive analytics and AI/ML models</li><li>Data center environments (compute, storage, networking, scalability)</li></ul><div>Domain understanding is critical, irrespective of prior role titles.</div><div><strong>Role Summary</strong></div><div>We are seeking an experienced <strong>IT Project Manager</strong> with exposure to <strong>AI/ML-driven product engineering environments</strong> and a clear understanding of:</div><ul style="margin-top:0cm;" type="disc"><li><strong>Product Development Lifecycle (PDLC)</strong></li><li><strong>Project Lifecycle (PLC)</strong></li></ul><div>The role involves managing <strong>end-to-end delivery of AI/ML and data-driven solutions</strong>, particularly within <strong>data center and digital infrastructure ecosystems</strong>.</div><div><strong>Key Responsibilities</strong></div><div><strong>Delivery & Execution</strong></div><ul style="margin-top:0cm;" type="disc"><li>Own end-to-end project delivery: planning, estimation, scheduling, and execution</li><li>Manage <strong>RAID (Risks, Assumptions, Issues, Dependencies)</strong></li><li>Drive resource planning, utilization, and capacity alignment</li><li>Ensure on-time, high-quality delivery</li></ul><div><strong>Product & Lifecycle Alignment</strong></div><ul style="margin-top:0cm;" type="disc"><li>Align project execution with <strong>product lifecycle stages (PDLC)</strong></li><li>Bridge gaps between product, engineering, and delivery teams</li><li>Ensure alignment between roadmap, releases, and milestones</li></ul><div><strong>Stakeholder & Governance</strong></div><ul style="margin-top:0cm;" type="disc"><li>Manage stakeholder communication and status reporting</li><li>Lead governance forums and steering committee discussions</li><li>Enable data-driven decision-making</li></ul><div><strong>Agile Delivery Cadence</strong></div><ul style="margin-top:0cm;" type="disc"><li>Run Agile ceremonies: standups, sprint planning, reviews, retrospectives</li><li>Track delivery metrics (velocity, burn-down, cycle time)</li></ul><div><strong>Cross-Functional Coordination</strong></div><ul style="margin-top:0cm;" type="disc"><li>Work closely with:<ul style="margin-top:0cm;" type="circle"><li>Data Science teams</li><li>AI/ML engineers</li><li>Infrastructure and platform teams</li></ul></li><li>Ensure seamless integration across components</li></ul><div><strong>AI/ML & Infrastructure Focus</strong></div><ul style="margin-top:0cm;" type="disc"><li>Work across:<ul style="margin-top:0cm;" type="circle"><li>Edge AI and IoT-based systems</li><li>Sensor data ingestion and processing pipelines</li><li>Predictive modeling and ML workflows</li></ul></li><li>Understand AI workload needs:<ul style="margin-top:0cm;" type="circle"><li>Latency, throughput, scalability</li><li>Compute-intensive processing (GPU/CPU)</li><li>Storage and data pipeline optimization</li></ul></li></ul><div><strong>Required Background</strong></div><ul style="margin-top:0cm;" type="disc"><li>8+ years of experience in IT Project Management</li><li>Proven experience in <strong>AI/ML, Data Engineering, or Software Delivery</strong></li><li>Strong understanding of:<ul style="margin-top:0cm;" type="circle"><li><strong>PDLC vs PLC</strong></li><li>Agile and hybrid delivery models</li></ul></li><li>Exposure to:<ul style="margin-top:0cm;" type="circle"><li><strong>Data center or digital infrastructure environments</strong></li><li><strong>Edge AI, IoT, or real-time data systems</strong></li></ul></li><li>Strong stakeholder and communication skills</li><li>Experience managing <strong>distributed/global teams</strong></li></ul><div><br></div>