Amr Moussa

Oversee interconnected projects that are complementary to one another and that ultimately build and contribute to larger, build longer-term business objectives with the customer. Outline a Big Data program’s strategy and its objectives and oversee a list of dependent projects that are needed to reach the program’s goals. Work with teams and instruct them on how to best implement their strategies and to measure the return on investment.

As a Program manager share the program’s strategy and objectives with an emphasis on its impact upon the business. Overseers of multiple-project platform collaborations, also define the independent projects that must be completed first in order to achieve the program's ultimate goals. Strategize, oversee, and coordinate various project products or other strategic initiatives that are programmed within a group of related projects.

• Manage teams across functional boundaries, both internal and external.
• Develop, implement and evaluate strategic plans, goals and objectives.
• Contribute to the production of program reports, materials, and content.
• Oversee program plans and tracking of progress and changes.
• Provide and communicate overall vision and direction for program.
• Drive strategic roadmap both for product features, technology and overall business development.
• Assist in the management and supervision of program staff.
• Manage and complete assigned work plan objectives and projects on a timely basis.
• Seek opportunities to make improvements to team efficiency and process.
• Provide guidance and role modeling to all members.
• Establish milestones and monitor adherence to master plans and schedules.

• Provide thought leadership and drive architecture and the design of big data and data warehousing solutions.
• Select the right tools for implementing data ingestion, processing, and storage
• Design data solutions including security, performance, scalability, availability, accessibility, and maintainability
• Clearly articulate pros and cons of various technologies and platforms
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Design the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Document use cases, solutions, and recommendations
• Work with various stakeholders, from program and project managers to the solution and enterprise architects in the design, planning and governance of implementing data projects
• Design and strategy to keep data separated and secure across national boundaries through multiple data centers and regions
• Identify ways to improve data reliability, efficiency, and quality
• Design a strategy to insure data availability, accessibility, scalability, and maintainability
• Perform detailed analysis of business problems and technical environments and use this in designing the solution
• Explore new opportunities introduced by new technologies and initiatives
• Benchmark implemented solution against other solutions from other vendors
• Build capabilities and guide the technical team and push them to progress in their career

• Establish and oversee data strategy, analytics processes, and procedures within the organization
• Establish advanced analytics use cases with
• Build sustainable capabilities for data storage, data reporting, data analytics, data governance, data quality and metrics in all aspects of the business
• Champion data driven decisions that engage the organization
• Seek ways to visualize the data, new business models and raise the capability of the business
• Build Cloud Strategy – Insurance
• Build Data management strategy (data governance, data lake, data security, storage) – Insurance
• Medical insurance data migration
• Customer data management (MDM) – Insurance

• MDM and data governance practice manager and solution manager
• Team enablement planning and enrollment and career path development
• Build and define the architecture of the business intelligence, data warehousing and analytics applications that run on multiple platforms & are composed of multiple software packages/tools
• Senior Technical Lead for Data Warehousing projects
• Work closely with the PMO on projects and resources performance
• Lead, coach, motivate and support team members in technical issues, challenges, and problems
• IBM is a multinational technology and consulting company, known for its cloud computing, data analytics, and enterprise solutions
• Projects: Customer data management – Banking, Standard Bank-South Africa
• Customer data management – National Bank of Egypt
• Egyptian National Post Organization Enterprise DWH and BI dashboards
• Egyptian Agricultural Bank, Banking industry DWH and BI dashboards
• Customer Data Quality Diagnostic – Commercial International Bank, Egypt

• Build Business Intelligence and Data Warehouse solution architecture
• Gather requirements for Business Intelligence projects
• Create a repository of the BI research results and findings
• Analyze and understand Meta Data of current systems to refine logical data model and analyze data quality
• Design and develop Data Warehouse ETL Processes, Multi-Dimensional OLAP Cubes, and Performance dashboards
• Build conical, semantic, and traditional data models
• Manage and run business analysis tasks
• Team enablement planning and enrollment and career path development
• ITWORX is a leading software services company that provides technology solutions and services
• Projects: Syngenta Bioinformatics Transformation (DWH, BI and analytics), Bioinformatics– USA and Switzerland
• Egyptian’s ministry of petroleum DWH, Oil and Gas – Egypt
• Qatar government spatial data management, Spatial data – Qatar
• Al Rajhi data strategy, DWH – Saudi Arabia

• Design and Develop Data models and ETL architecture
• Run Data sources profiling and analysis programs for data quality assessments
• Design and develop Business objects universes, web I and dashboard reports
• Run project daily activates onsite with the client teams
• Enable DWH and BI skills across company and client resources
• Run BI and DWH presales activities
• INTERCOM is a technology company that specializes in data warehousing and business intelligence solutions
• Projects: Orange – Egypt, Telco – Billing DWH architecture, billing Dashboards and ETL process standardization
• Commercial International Bank – Egypt, Banking – BI and customized data marts

• HR S/W System, Business analysis (Egypt and Gulf)
• Deploy and implement HR systems at customer side, develop reports using crystal reports
• Project management
• UNITED OFOQ is a company that provides HR management solutions and consulting services
• Projects: Implement HR Systems for Vitric (HERO) Cairo, Qatar International Islamic Bank Doha, Thuraya Telecommunication (Dubai), Lord - Egypt (Alex), Aresco Egypt

• Design, develop, test, support and deploy desktop, custom web, and mobile applications
• Gather customer software requirements and develop related software applications and programs
• INTERCOM is a technology company that specializes in software development and IT solutions