Team Lead Analyst - Client Virtualization
J
JobgetherInformation Technology
IndiaFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 10+ years of relevant IT experience; 6+ years supporting Client Virtualization or DaaS; 4–5+ years leading technical teams.
- Required Skills
- AWSCitrixAzure
Requirements
- Bachelor’s degree or equivalent in Information Technology, Computer Science, MIS, or related field.
- 10+ years of relevant IT experience including virtualization, infrastructure, and technical leadership.
- 6+ years of experience supporting Client Virtualization or Desktop-as-a-Service (DaaS) platforms (e.g., Citrix, Windows 365, VMware Horizon, Amazon WorkSpaces).
- 4–5+ years of experience leading technical teams and coordinating global operations.
- Strong knowledge of end-user computing, cloud platforms, identity management, and IT service management.
- Hands-on experience with Azure/AWS, hybrid cloud, Active Directory, Microsoft Entra ID, and IAM.
- Experience with security remediation, vulnerability management, patching, and compliance processes.
- Proven experience with scripting, ITSM workflows, and KPI monitoring.
- Ability to manage relationships across multiple global regions.
- Strong English communication, analytical, and stakeholder influence skills.
Responsibilities
- Lead and develop the global Client Virtualization team, including employees and contract resources.
- Drive operational execution for Client Virtualization services, ensuring service quality, reliability, security, and compliance.
- Provide technical leadership and direction for virtual application, desktop, and cloud PC platforms.
- Manage service improvements, operational risks, escalations, and critical initiatives.
- Partner with IT leadership, vendors, and stakeholders to resolve complex technical and operational challenges.
- Translate technical issues into clear business impacts and communicate with stakeholders.
- Improve service reliability through incident, problem, and change management and process optimization.
- Monitor KPIs, service governance metrics, and licensing requirements.
- Support automation, documentation, and continuous improvement initiatives.
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