IT Project Manager (Remote)

Role: IT Project Manager

Experience: 8+ Yrs of Relevant experience as IT PM.

Location: Remote

Shift Timing: UK Shift (2:30 pm - 11:30 pm IST)

Role Summary

We are hiring Project Managers for a global data center and digital infrastructure client operating in high‑performance environments supporting AI/ML workloads.

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) and 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.

Domain awareness requirements:

• Edge AI & IoT ecosystems
• Sensor data processing pipelines
• Predictive analytics and AI/ML models
• Data center environments (compute, storage, networking, scalability)

Key Responsibilities

Delivery & Execution

• 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.

Product & Lifecycle Alignment

• Align project execution with product lifecycle stages (PDLC).
• Bridge gaps between product, engineering, and delivery teams.
• Ensure alignment between roadmap, releases, and milestones.

Stakeholder & Governance

• Manage stakeholder communication and status reporting.
• Lead governance forums and steering committee discussions.
• Enable data‑driven decision‑making.

Agile Delivery Cadence

• Run Agile ceremonies: standups, sprint planning, reviews, retrospectives.
• Track delivery metrics (velocity, burn‑down, cycle time).

Cross‑Functional Coordination

• Work closely with:
  • Data Science teams
  • AI/ML engineers
  • Infrastructure and platform teams
• Ensure seamless integration across components.

AI/ML & Infrastructure Focus

• 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

Required Background

• 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.