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: Robust 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.

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