Ali Mucan
Head of Data & AI & PMO @ A101 Yeni Mağazacılık A.Ş.
About
As the Head of Data & AI & PMO at A101 Yeni Mağazacılık A.Ş. for over four years, I lead diverse teams specializing in data engineering, business intelligence, artificial intelligence, data analysis, and project management. By fostering collaboration and innovation, we deliver cutting-edge solutions that drive informed decisions and optimize business operations. Previously, I contributed to complex data management initiatives as the Data Management Lead at Vodafone, with a focus on data warehouse architecture, business intelligence design, and vendor management. My expertise lies in leveraging strategic data analysis and advanced AI technologies to develop scalable solutions that empower organizational growth and digital transformation.
Türkiye
Istanbul
Information Technology & Services
Strategic Insights, Strategic Data Analysis, Management, Cloud, Data Engineering, Logical Data Modeling, Data Management, Leadership, Technical Leadership, Program Management, Business Strategy, Banking, Data Visualization, Business Analysis, Databases, Business Intelligence Projects, Artificial Intelligence (AI), Data Analytics, Data Architecture, Data Science
Experience

Data Management Lead
Istanbul, Turkey
Consultant Data Management Lead at Vodafone DWH Reengineering Project: - Responsible for Data Warehouse Model - Business Intelligence Designer - Vendor Management - Business Analysis - Reuqirement Gathering - Data Warehouse Architecture Design - Performance Tunning

Business Intelligence and Reporting Unit Assistant Manager
Istanbul, Turkey
- Responsible for technical designs and developments that affect DWH Core Model - Analyzing BI requirements on projects, designing and creating DMs(Data Marts) - Responsible for DWH Architectural Model Management & Revisions - Responsible for ETL developments in SAP Business Objects Data Services - Customer Segmentation Project design & development for new criterias and rules DWH Improvement Project - Determine the optimal approach for obtaining data from source system platforms and moving it to the BI. - Implement the ETL infrastructure used at a project level. - Establish and enforce technical standards for deliverables of projects. - Provide training to end users on the platform. - Analytical modeling responsibilities with banking data - Maintain data privacy and followed rules regarding data security. - Applying architectural and engineering concepts to design a solution that meets operational requirements, such as scalability,maintainability, security, reliability, flexibility, availability and manageability. - Identifying the technologies to employ based on price, performance, service agreements and organization constraints

Business Intelligence Consultant
Istanbul, Turkey
- Business Analysis (Architectural & Requirements Based) - ETL Development (ODI 10g & Ab Initio & BO Data Integrator) - ETL Efficiency (Architectural Hierarchy & Job Performance) - Supervisory Automation of ETL Schedule (2K+ Scenarios/Daily) - Unit Testing of ETL deployments - Impact Analysis of ETL deployments - ETL tool Repository based solutions - Identification and Maintenance of Logical Level and Source Based Data Integrity & Consistency - On Demand Support to DWH processes at Analytic/Development/Test level
Ali Mucan's Contact Information
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