Site Manager

Description Site Manager – Data, Analytics & AI The Data & AI Division abra is looking for an experienced Site Manager with a strong technology background to lead and oversee data, analytics, and AI activities within a large-scale organizational project. Job Description Lead and manage multidisciplinary technology teams, including BI Developers, DBAs, Data Engineers, and Data Scientists. Oversee day-to-day operations, workload prioritization, task management, and execution monitoring across multiple teams. Drive technological initiatives and data-driven projects while ensuring timely delivery and high-quality outcomes. Ensure the availability, stability, and performance of data platforms, databases, reporting systems, and analytics solutions. Lead the development and enhancement of BI solutions, data infrastructure, reporting environments, data models, and Data Engineering processes. Collaborate closely with business stakeholders, management, technology teams, and external vendors to align solutions with organizational needs. Translate business requirements into actionable plans and technical deliverables. Remove operational and technological roadblocks, improve work processes, and promote continuous optimization. Provide leadership, mentorship, and professional guidance to team members while fostering a high-performance culture. Requirements At least 5 years of experience in a Site Manager, Technology Manager, Data Manager, or similar leadership role. Proven experience managing multidisciplinary technology teams, including BI Developers, DBAs, Data Engineers, and Data Scientists. Strong understanding of BI, Data Engineering, Database Management, Data Warehousing, and enterprise data ecosystems. Experience leading large-scale technological and data-driven projects in complex organizational environments. Hands-on experience with modern data platforms and technologies. Experience with Power BI, Microsoft Fabric, Azure Data Factory, Databricks, Snowflake, or similar data platforms. Familiarity with AI, Machine Learning, GenAI, and advanced analytics solutions. Strong stakeholder management skills with the ability to work effectively with business users, senior management, technology teams, and external vendors. Proven ability to prioritize workloads, manage multiple initiatives, and drive execution to completion.