Role description

L3 Data Collaboration

Key Responsibilities

Manage Data Collaboration architecture in complex enterprise environment

Act as the final point of escalation for critical highimpact incidents that L1 and L2 teams cannot resolve

Responsible for managing action and future requests including automation initiative

Serve as technical SME for all related initiatives

Lead advance trouble shooting and root cause analysis for Data Collaboration related incidents

Integrated Data Collaboration logging with Splunk for analytics ing and compliance reporting

Provide technical leadership to Level 1 and Level 2 teams including mentoring and knowledge transfer

Collaborate with Data Collaboration teams for seamless end to end solutions

Drive improvements in access control performance and user experience across Data Collaboration deployments

Participate in change management risk assessment and stakeholder communication

Maintain technical documentation solution design and runbooks in alignment with compliant standards





Resources should take care of RCA design action plans for daily operations and help in the resolution

Manage and prioritize the future or upcoming request They should be able to present their POV regarding the upcoming changes

Required Skills Experience

Collaborative file storage MS SharePoint Online MS Teams File storage MS Stream AvePoint

Content CoCreation MS Forms MS Whiteboard MS Loop components Klaxoon Kahoot Canva

Project Team Organization MS Planner MS Lists MS Shift Asana Monday Trello

People Connection MS Viva Engage

Experience multisite or international is highly desirable

Experience in complex setting

Troubleshooting root cause analysis

Key Competencies

Strong troubleshooting and problemsolving skills

Ability to work in shift based or on call support environments

Effective communication

Team player with a proactive attitude

Certifications Qualifications

Bachelors Masters degree in Computer Science IT or related fie

📌 Senior Specialist (Hyderabad)
🏢 LTM
📍 Hyderabad