Engineering Consultant-Infra PM - Network

Job Overview

• Role: Senior IT Infrastructure & Integration Project Lead
• Experience Required: 6 to 11 Years
• Notice Period: Maximum 60 Days (or shorter)
• Key Focus: Global Infrastructure Cutovers, Network/Data Center Integrations, Execution Leadership, AI-driven Process Automation

Key Responsibilities

• Execution Leadership: Direct integration delivery across global teams, executing deployment timelines for large-scale IT infrastructure, network, voice, and data center cutovers.
• Cutover & Implementation Support: Lead US-evening cutover and implementation tasks independently, including trusted/untrusted data center migrations, B2B tunnels, firewall projects, and regional hub migrations.
• Off-Shift Strategy & Efficiency: Identify and execute opportunities to offload non-business-hour cutover and operational tasks from US-based Integration Leads.
• AI & Workflow Automation: Leverage enterprise-approved AI tools (e.g., OpenAI, Gemini, LangChain, Copilot Studio) and prompt engineering techniques to automate repetitive workflows, optimize documentation, and boost project productivity.
• Project Documentation & Repository Management: Build and maintain Key Contacts and Communications repositories, update cutsheets/implementation plans in real-time, and track progress using Rally Kanban boards and IRAAD logs.
• Stakeholder Management: Maintain strong relationships with internal cross-functional teams, technical executives, global project members, and third-party vendors.

Required Qualifications & Skillset

• Experience: 611 years of professional IT experience, blending IT Infrastructure Project Management with Integration strategy.
• Core Technical Knowledge: Strong background in Network, Systems, Data Center migrations, Firewalls, Voice migrations, and Microsoft email solutions.
• Integration & Methodologies: Proven experience managing full lifecycle IT deployments, SDLC, requirements gathering, risk mitigation (IRAADs), and cutover plan creation within large-scale (Fortune 100 or Healthcare) environments.
• AI & Innovation: Hands-on familiarity or conceptual clarity with generative AI APIs/frameworks and prompt engineering to streamline administrative and technical project tasks.
• Soft Skills: Exceptional written and verbal communication, negotiation skills, critical thinking, and the ability to work effectively across global time zones.