IT Project Manager (Remote)

Codvo.ai

20h•Remote

About The Position

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. We are hiring Project Managers for a global data center and digital infrastructure client operating in high-performance environments supporting AI/ML workloads . Candidates should bring relevant domain awareness , including exposure to: Edge AI & IoT ecosystems Sensor data processing pipelines Predictive analytics and AI/ML models Data center environments (compute, storage, networking, scalability) Domain understanding is critical, irrespective of prior role titles. We are seeking an experienced IT Project Manager with exposure to AI/ML-driven product engineering environments and a clear understanding of: Product Development Lifecycle (PDLC) Project Lifecycle (PLC) The role involves managing end-to-end delivery of AI/ML and data-driven solutions , particularly within data center and digital infrastructure ecosystems .

Requirements

8+ years of experience in IT Project Management
Proven experience in AI/ML, Data Engineering, or Software Delivery
Strong understanding of: PDLC vs PLC Agile and hybrid delivery models
Exposure to: Data center or digital infrastructure environments Edge AI, IoT, or real-time data systems
Strong stakeholder and communication skills
Experience managing distributed/global teams

Responsibilities

Own end-to-end project delivery: planning, estimation, scheduling, and execution
Manage RAID (Risks, Assumptions, Issues, Dependencies)
Drive resource planning, utilization, and capacity alignment
Ensure on-time, high-quality delivery
Align project execution with product lifecycle stages (PDLC)
Bridge gaps between product, engineering, and delivery teams
Ensure alignment between roadmap, releases, and milestones
Manage stakeholder communication and status reporting
Lead governance forums and steering committee discussions
Enable data-driven decision-making
Run Agile ceremonies: standups, sprint planning, reviews, retrospectives
Track delivery metrics (velocity, burn-down, cycle time)
Work closely with: Data Science teams AI/ML engineers Infrastructure and platform teams
Ensure seamless integration across components
Work across: Edge AI and IoT-based systems Sensor data ingestion and processing pipelines Predictive modeling and ML workflows
Understand AI workload needs: Latency, throughput, scalability Compute-intensive processing (GPU/CPU) Storage and data pipeline optimization