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IT Project Manager (Remote)
- Little Italy, Arkansas, United States
- Little Italy, Arkansas, United States
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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.
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Sprachkenntnisse
- English
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