IT Project Manager; Remote
Town of Italy, Penn Yan, Yates County, New York, 14527, USA
Listed on 2026-04-20
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IT/Tech
AI Engineer, IT Project Manager, Data Engineer, Cloud Computing
Location: Town of Italy
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 SummaryWe 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)
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
- 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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