Job Overview :

Role : Senior IT Infrastructure & Integration Project Lead

Experience Required : 6 - 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 :

1. Execution Leadership :

- Direct integration delivery across global teams, executing deployment timelines for large-scale IT infrastructure, network, voice, and data center cutovers.

2. 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.

3. Off-Shift Strategy & Efficiency :

- Identify and execute opportunities to offload non-business-hour cutover and operational tasks from US-based Integration Leads.

4. 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.

5. 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.

6. Stakeholder Management :

- Maintain strong relationships with internal cross-functional teams, technical executives, global project members, and third-party vendors.

Required Qualifications & Skillset :

1. Experience :

- 6 - 11 years of professional IT experience, blending IT Infrastructure Project Management with Integration strategy.

2. Core Technical Knowledge :

- Strong background in Network, Systems, Data Center migrations, Firewalls, Voice migrations, and Microsoft email solutions.

3. 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.

4. AI & Innovation :

- Hands-on familiarity or conceptual clarity with generative AI APIs/frameworks and prompt engineering to streamline administrative and technical project tasks.

5. Soft Skills :

- Exceptional written and verbal communication, negotiation skills, critical thinking, and the ability to work effectively across global time zones.