· Lead and manage a team of system administrators, technicians, support staff, and data analysts.

· Set clear objectives, provide guidance, and mentor team members to foster their professional growth.

· Foster a collaborative and innovative work environment within the team.

· Monitor system performance and ensure high availability and reliability.

· Implement security measures to safeguard systems against cyber threats and data breaches.

· Conduct regular system audits to identify areas for improvement and optimization.

· Serve as the escalation point for resolving complex technical issues and helping end-users.

· Develop and maintain IT support processes and procedures to ensure timely resolution of incidents and service requests.

· Collaborate with other departments to understand their technology needs and provide appropriate solutions.

· Manage and optimize databases to ensure efficient storage, retrieval, and analysis of data.

· Develop and maintain data models, schemas, and structures to support business requirements.

· Perform data analysis to extract insights, identify trends, and support decision-making processes.

· Implement data governance policies and procedures to ensure data accuracy, consistency, and security.

· Collaborate with business stakeholders to define data analytics requirements and deliver actionable insights.

· Plan and execute system upgrades, migrations, and implementations.

· Define project scope, objectives, timelines, and deliverables.

· Coordinate with stakeholders to ensure projects are completed on time and within budget.

· Evaluate and select vendors for IT products, services, and data analytics tools.

· Negotiate contracts and service level agreements (SLAs) with vendors to ensure cost-effectiveness and quality of service.

· Monitor vendor performance and address any issues or concerns that arise.

· Develop training programs and materials to enhance the technical skills of team members and end-users.

· Create and maintain documentation for systems, processes, procedures, and data analytics workflows.

· Conduct regular training sessions and workshops to educate users on best practices and new technologies.

· Ensure compliance with relevant regulations, industry standards, and organizational policies.

· Implement controls and procedures to protect sensitive data and ensure data integrity.

· Collaborate with internal audit teams and external regulators to demonstrate compliance and address any findings or recommendations.