Mounir Mostafa

• IT Banking & Telco Data Management / Data Governance experience
• DAMA / CMMI methodology, Zachman & TOGAF Frameworks experience.
• Building the Operating Model for DAMA Method/NDMO Standards including data strategy, policies, detailed processes, mapping with ILM and all types of templates
• Project Management across all functional areas and all level of organization throughout the project lifecycle (from initiation to closing phase).
• Lead MDM projects, end-to-end, defining project approach, resources and delivering them till the end.
• Participate in the development of master data management strategies, implementation roadmaps and business cases.
• Matured experience in Informatica & IBM data integration solutions ( WebSphere MQ, ESB, MDM , ETL, Metadata, Data Governance & Real-time IBM CDC data replication)
• Experience & Knowledge in variant data source systems including (but not limited to) CRM, Core Banking, Vision+, Cortex, Billing, Order Management, Mediation,, ERP, IN, VAS, BI solutions.
• Computer Science & Information Technology academic studies.
• Big Data solutions experience (Cloudera, Teradata, Oracle, IBM) including eco-systems associated with these solution (Kafka, Spark, Impala, CEP Streaming, EDH & Data Lake Design)
• Big Data ideation and definition/prioritization of business use cases (Telecom / Banking use case including IoT)
• Administration and Development Experience in Different Database systems (IBM Mainframe, Oracle, Teradata, DB2, VSAM)
• Data Analytics using BusinessObjects/ Predictive modeling using SAS.

Profound understanding for DMBOK (Data Management Body Of Knowledge)
Expert in Technology and Business strategy and roadmap implementations
Strong record of implementation for data governance projects and establishing DGOs (Data Governance Office)
Strong experience in setting/ defining data policies and procedures
Expert in defining Enterprise Data Architecture components (domain data models, dataflows, data standards, Datawarehouse dimensional modeling and BigData technology stack architecture and implementation)
Assess, design, develop and implement Master Data Management solutions within complex system landscapes
Evaluate and design (Master) data architectures and data flow diagrams
Provide support in product development, proposals and further research around the topic of Master Data Management
Expert in Metadata management (Data Classifications, Glossary, and data lineage)
Excel in communication & presentation skills
Expert in organization change management
Strong background in Data Implementation Project Management
Data Governance tool such as Cloudera, Informatica, IBM InfoSphere

Profound understanding for DMBOK (Data Management Body Of Knowledge)
Expert in Technology and Business strategy and roadmap implementations
Strong record of implementation for data governance projects and establishing DGOs (Data Governance Office)
Strong experience in setting/ defining data policies and procedures
Expert in defining Enterprise Data Architecture components
Assess, design, develop and implement Master Data Management solutions
Evaluate and design (Master) data architectures and data flow diagrams
Expert in Metadata management
Excel in communication & presentation skills
Expert in organization change management
Strong background in Data Implementation Project Management
Data Governance tool such as Cloudera, Informatica, IBM InfoSphere

To lead the Bank overall data & information architecture
Apply broad technical skills, industry and business acumen, and solution design expertise to provide technical solution recommendations that leverage homogenous/ heterogeneous technologies, architectures, integrated solutions and offerings for solving the organizations business challenges
Manage the overall implementation of the Data Management Project and the target data management organization across all functional areas and all levels of the Organization, throughout the project lifecycle, from initiation to the closing phase
Continuously monitor progress against set objectives for achieving the Data Management
Ensure that the scope and timeline of the project and each of its subcomponents is realistic while securing the expected benefits and objectives
Implementation of DAMA data management methodology by operationalizing the activities and techniques to apply it for all tracks (Data governance, Enterprise data architecture, Data Quality, Metadata Management & MDM)
Ability to mentor and share Hadoop or Big Data knowledge effectively to help expand expertise throughout the organization
Strong experience with some or all of Hadoop/HDFS commands, Sqoop, Hive, Kafka and Spark among other Big Data and NoSQL technologies
Build a Big Data Real-time Single Customer view using the streaming layer (IBM CDC, Kafka, Spark and MongoDB) to consolidate one customer view from different data sources and to solve the application integration issues and as enabler for digitization
Ongoing Enhancement / Revamping for the existing Datawarehouse by accommodating new data sources, build new data marts serving specific objectives and improving the performance and reliability

Provides overall strategic leadership, vision, and execution of technology and BSS solutions in alignment with the company's business objectives
Assess current practices for compliance with STC information systems requirements by meeting the stakeholders and gather their high level upcoming requirements & roadmap and matching with current enterprise systems architecture
Adherence to standards whenever possible - to maximize the future investment value and minimizing costs
RFPs assessment / adjustment before submitting to the vendors
Present the technological vision and develop departmental solutions and roadmaps to address current and future information system needs
Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities
Assessment of Internet of Things (IoT) strategy & vendor solutions
Exploit the current organization BI/Big Data platform for IoT use cases as well as Advanced Analytics applications
Identifies, proposes, and influences business solutions, negotiates deliverables and requirements across multiple business customers or organizations
Manages the approval of BSS (CRM, Billing, BI, E-Business) projects

Coaching BI & Data integration team
Motivate the team and assess the resources utilization
Building / Modifying the Datawarehouse / EDI / ODS data model
Managing the Revenue Assurance project (IT perspectives)
CDR’s reconciliation for all the revenue streams (Mediated/Rated/Billed)
Contribute in the UAT for the new products and promotions before launch
Reconcile the CRM with the billing system
Facilitate the post-paid invoices accuracy checks before launch
Development of real-time executives Dashboard to show main KPIs by managing data aggregation layer for most of the source systems replicated data (EDI) using SAP BusinessObjects / Dashboard as presentation layer
Gathering business units reporting requirements and developing the semantic model using SAP BO universe and maintain it periodically
Leading the initiative of MDM by attending MDM institute & IBM information On-demand conferences and gathering the requirements from different business management groups in order to formulate a business case and kick-off the project
Doing the source system analysis (Siebel CRM/Billing/ERP/Prepaid systems ..etc) to consolidate all these together into one repository and to build different interfaces to serve other target systems
Auditing the data integration process by using/developing SQL scripts as a tool for checking data quality
Developing complex IBM DataStage process for data population in both ODS & Datawarehouse data model

Responsible for the design, development and implementation of systems (Data Model & ETL Jobs & Business Object Universe) necessary to load and refresh the Data Warehouse (Multiple Star Scheme Data Marts) according to the Dimensional Modeling techniques
Migrate data from various RDBMS, Billing system, CRM, Pre-Pay system and Point of sales system to the target Data Warehouse Oracle 9i database using Informix DataStage, PL/SQL and SQL
Making necessary Transformation, Cleansing, Loading and maintain the CDRs Aggregation within a time limit 6 hours daily overnight (170 million rows daily)
Designing & developing complex DataStage/PX jobs with compound workflow and using Universe basic routines (Built-in or in-house developed library)
Professional using SQL to retrieve data from the Data Warehouse to support reporting
Support Front-End Team in Reporting
Develop PL/SQL scripts to check the data integrity and to support marketing dept. programs
Responsible for applying Data Mining Technology within the CRM program
Evaluating the software products, analyze the business goals, analyze the available data to build the mining model and implement Data gathering/preparation
Churn / Fraud Models / cross-selling and up-selling
Provide Vodafone Global (Vodafone Hungary & Vodafone UK) with ETL and Data Mining consultation
Helping them to manage their Extraction time Window
Support them during the Datawarehouse modeling and build Churn Model

To lead the Bank overall data & information architecture
Apply broad technical skills, industry and business acumen, and solution design expertise
Manage the overall implementation of the Data Management Project
Continuously monitor progress against set objectives
Implementation of DAMA data management methodology
Ability to mentor and share Hadoop or Big Data knowledge effectively
Build a Big Data Real-time Single Customer view using the streaming layer
Ongoing Enhancement / Revamping for the existing Datawarehouse

Provides overall strategic leadership, vision, and execution of technology and BSS solutions
Assess current practices for compliance with STC information systems requirements
Adherence to standards whenever possible
RFPs assessment / adjustment before submitting to the vendors
Present the technological vision and develop departmental solutions and roadmaps
Establish and govern an enterprise data governance implementation roadmap
Assessment of Internet of Things (IoT) strategy & vendor solutions
Identifies, proposes, and influences business solutions

Coaching BI & Data integration team
Motivate the team and assess the resources utilization
Building / Modifying the Datawarehouse / EDI / ODS data model
Managing the Revenue Assurance project
Contribute in the UAT for the new products and promotions
Reconcile the CRM with the billing system
Facilitate the post-paid invoices accuracy checks
Development of real-time executives Dashboard
Gathering business units reporting requirements
Leading the initiative of MDM
Doing the source system analysis
Auditing the data integration process
Developing complex IBM DataStage process

Responsible for the design, development and implementation of systems
Migrate data from various RDBMS, Billing system, CRM, Pre-Pay system
Designing & developing complex DataStage/PX jobs
Professional using SQL to retrieve data from the Data Warehouse
Responsible for applying Data Mining Technology
Provide Vodafone Global with ETL and Data Mining consultation