• Develop and maintain enterprise-level data structures, including conceptual, logical, and physical models. • Define and implement data strategies, standards, and governance frameworks to ensure quality, security, and compliance. • Design, implement and oversee data integration processes, including ETL queries and workflows, APIs, and data pipelines. • Design, construct, and maintain data warehouses to support IS-Development process data optimization, analytics and reporting. • Build and deploy dashboards and reports using SQL and Power BI. • Conduct advanced analytics, including regression analysis and simulations, to drive strategic decisions. • Partner with business stakeholders, IT teams, and leadership to promote data-driven decision-making and operational efficiency. • Assess and recommend tools, platforms, and technologies for data management, integration and analytics. • Monitor and optimize database performance, scalability, and reliability. • Identify and develop key performance indicators and ensure data accuracy, consistent monitoring and reporting.