As a seasoned professional, I bring a wealth of experience in spearheading the design, development, and execution of data analytics, data management, and business intelligence solutions that steer strategic decision-making. My proficiency extends to Tableau, Informatica, OBIEE, Power BI, Watson, and other state-of-the-art tools. I excel in crafting AI applications that streamline processes, eradicate manual interventions, and furnish near-instantaneous reporting. I thrive in collaborative environments, working synergistically with both business and technical teams to comprehend business needs, formulate technical specifications, and ensure punctual delivery of large-scale, intricate projects.
Data Analytics & Business Intelligence Data Warehouse & Data Vault Dashboard Design & Development
Data Fabric & Data Mesh Architecture Big Data / Data Lakes / Data Monetization Data Modeling & Transformation
Cross-functional Collaboration Team Building, Leadership & Training Communication & Presentation Skills
Data & AI Senior Manager, Accenture – Dublin, Ireland 12/2024 to Present
In addition to my role as a technical manager overseeing one of Accenture’s premier top-tier technology company portfolios, I lead two data practices within Accenture Ireland: Data Architecture and AI & LLM Architecture, championing the advancement of Data & AI education, and orchestrating the GenAI enablement programs.
Shape and execute enterprise-wide Data & AI strategies, aligning advanced analytics capabilities with long-term business objectives to drive growth and innovation.
My responsibilities encompass the following areas:
Lead large-scale data transformation programs, integrating AI-driven automation and advanced analytics to optimize operational efficiency and customer experiences.
Develop high-impact frameworks for data governance, architecture, and management, ensuring compliance, security, and scalability across the organization.
Partner with C-level executives and business leaders to identify strategic opportunities and define KPIs for data-driven decision-making.
Direct and oversee multidisciplinary teams of data scientists, engineers, and analysts to deliver state-of-the-art solutions, from predictive models to real-time dashboards.
Drive innovation through emerging technologies, including generative AI, machine learning, and cloud-based platforms, to maintain a competitive edge.
Champion a data-driven culture, mentoring leaders across the organization and ensuring the upskilling of teams in cutting-edge tools and methodologies.
Data & AI Engineering Manager, Accenture – Dublin, Ireland 08/2022 to 11/2024
Led Data Architecture capability for Accenture Ireland, including designing and implementing data architecture solutions aligned with business processes and data strategy.
Provided technical leadership and mentoring to data architects and professionals, sharing best practices and industry standards.
Communicated and presented data architecture solutions and governance, embedding them in the data delivery lifecycle, and making recommendations to senior management, business users, and technical teams.
Led a high-performing, multiregional team of 100+ data architects, engineers, and analysts to design and deliver a robust, scalable, and reliable core data infrastructure platform supporting Trust & Safety operations for a leading global technology company.
Mentored the Data Architecture team members, contributing to team-learning initiatives and activities.
Designed opportunity strategies leveraging market and industry knowledge and trends.
Collaborated with the product team, representing customer requirements and feedback.
Facilitated comprehensive training programs across various departments, enhancing proficiency in Gen AI application building.
Designed and implemented robust data models and governance frameworks for managing reference data and master data, ensuring data consistency, quality, and accuracy across organizational systems.
Analytics Unit Leader, Federal Tax Authority – Dubai, UAE 3/2019 to 7/2022
Oversee data analytics unit to provide insights addressing business challenges and supporting data-driven decision making. Manage and build team, establish data analytics road map, define data strategy, and implement data management assessments. Prepare RFPs, review responses, and manage projects through sign-off. Hold accountability for delivering critical data statistics and market research information to government leadership.
· Manage data migration and analytics platform for organization’s largest project to enhance existing tax system.
· Spearheaded major initiative to clean all data across the organization in collaboration with business units.
· Interfaced with Big 4 accounting firm to lead five-year revenue forecasting initiative.
· Automated reconciliation, optimized internal processes, and implemented AI application to measure and identify unusual taxpayer submissions using Alteryx, Talend, and Tableau.
Assistant Manager, Business Analytics, Emirates NBD – Dubai, UAE 6/2017 to 3/2019
Served as assistant manager, business analyst, and project manager for data analytics, pro-active services analytics, new digital banking analytics, and marketing automation. Translated business requirements into technical specifications, maintained documentation, coordinated UAT, and facilitated user training. Prepared use cases for new application features. Created ad-hoc reports, visualizations, and pro-active services daily using SAS & SQL.
Spearheaded and led end-to-end business analytics project for a new digital banking product, including risk analysis, process automation, campaign management insights, progress tracking, and operational business intelligence.
Initiated and led large project to develop AI application using SAS and Power BI to analytically correlate and mine data from all banking production and services, customer service, and CSAT to create single digital score and 360-degree view of most important factors impacting customers, products, and services to uncover areas for improvement.
Successfully eliminated all manual work by using SAS to automate numerous pro-active services.
Enabled product managers/owners to identify trends, opportunities, and challenges by creating SAS tracking programs.
Collaborated closely with technical team on data management, data modelling, data warehousing, and business intelligence reporting efforts.
Evaluated marketing automation, AI, and other new technologies and applications to optimize processes, prepared study of business and technical benefits and limitations, and enabled C-level executives to make informed decisions.
Senior Business Intelligence Analyst, Capgemini – Dubai, UAE 8/2016 to 5/2017
Served as Senior Business Intelligence Analyst, Data Analyst, and Market Intelligence Analyst for cloud-based data analytics platform, People Data Center (PDC), that enabled Unilever MENA to leverage market & consumer insights to create tailored product marketing strategies. Mentored, trained, and reviewed work of other PDC/CMI analysts.
Created technical roadmap to consolidate, manage, and analyze data from multiple sources using Tableau, Klear, Brandwatch, CLARABRIDGE, Relative, Affinio, Unmetric, Twitter Analytics, Facebook Insights, and Google Trends.
Used agile approach with various research tactics, digital analytics, and marketing technology to manage campaign & brand tracking, influencer analysis, trend & foresight, consumer services global database creation, and retail shop data analysis projects.
Created advanced deliverables with multiple data sources, detailed analysis, social media insights, custom market research, analytics reports, data visualizations, and dashboards.
Trained and assisted large teams from Consumer Market Insights area to interpret and apply new product insights.
Researched and piloted new technologies and methodologies to improve research tool kit, explored alternative approaches to answer key questions, and presented case studies to marketing and brand team/managers.
Data Specialist & BI Consultant, IBM – Egypt 12/2014 to 7/2016
Consulted on BI, data management, and data warehouse projects for largest telecom companies in UAE and Egypt.
iCampaign, Orange, Egypt: Informatica ETL Developer & Oracle BI Consultant for full life cycle of Data Analytics implementation, including installation, configuration, extension, and customization using OBIA CRM Applications, DataStage 8.5, OBIEE 10g/11g, Informatica 8.1.1/9.5.1, and DAC 10g/11g.
Used Informatica Power Center to create source qualifier, aggregator, joiner, union, lookup, SQL, and other transformations and mappings to migrate data from disparate sources (CSV, flat files) into relational databases.
Designed and developed OBIEE metadata repository, using OBIEE Admin tool to import objects with integrity constraints into physical layer via connection pool.
Developed OBIEE analysis, dashboards, segments, and BI Publisher; created Informatica ETL jobs; and programmed PL/SQL packages, procedures, functions, and triggers.
Administered OBIEE upgrades, patching, monitoring, maintenance, and scheduling; assisted with client investigation, diagnosis, problem solving, and testing.
Etisalat DWH Revamp, Etisalat, UAE: ETL Data Analyst and Data Specialist for data warehouse project using IBM Netezza Appliance and DataStage 11.3.
Analyzed data sources and prepared techno/functional gap analysis document for modelers.
Collaborated with technical team and business analysts to understand requirements.
Analyzed and designed specifications documentation and requirements for EDW technology components.
Led and mentored entry-level data analysts on preparing and mapping BRDs and technical/functional documents.
Oracle Applications Developer, Giza Systems – Egypt 8/2012 to 11/2014
Developed and delivered custom Oracle Applications projects for diverse clients with different business requirements, technical specifications, and project scopes. Trained internal development team on BI, DWH, and ETL technologies.
Telecom Egypt Budgetary Control, Telecom, Egypt: Oracle Applications Technical Consultant for General Ledger (GL), Account Payables (AP) modules. Performed development in Oracle E-Business Suite and created PL/SQL packages, procedures, functions, and triggers. Conducted business analysis, customer training, document preparation, and production deployment activities.
Holding Company for Water and Wastewater (HCWW): Oracle Applications Technical Consultant and QlikView Developer for basis2 billing system. Created QlikView analytical dashboards for collection performance and customer service. Developed, customized, and personalized Oracle reports and forms. Performed development in Oracle E-Business Suite, implemented performance enhancements, and provided production support.
Addis Ababa Water and Sewerage Authority (AAWSA): Oracle Applications Technical Consultant for basis2 billing system, including Oracle reports and forms development, customization, and personalization; Oracle E-Business Suite development; PL/SQL programming of packages, procedures, functions, database links, triggers; and BI Publisher and RTF template creation. Used Toad and Data Modeler as development tools.
I am excited to present my portfolio of Big Data and Data Science projects, a collection that encapsulates my academic pursuits during my Master’s degree and my ongoing commitment to personal development. This portfolio is a testament to my expertise in:
Applied Machine Learning Algorithms Predictive Modelling and Forecasting Data Mining Techniques
Recommendation Systems Real-time Analytics Visualization and Geo-Spatial Analysis
Digital and Social Network Analysis
These projects also demonstrate my ability to apply these skills across a range of industrial sectors, including Retail, Telecommunications, Oil & Gas, Finance, Marketing Intelligence, and Health Analytics. Each project is a reflection of my dedication to leveraging data to inform decision-making and drive innovation. I invite you to explore my portfolio to gain insight into my capabilities and achievements.
Master’s in Business Analytics & Big Data, IE University- Spain 07/2021
The Master in Business Analytics and Big Data at IE University was a comprehensive program that aimed to empower me to tackle the biggest challenges in today’s data-driven era.
Here’s a brief overview of the program’s scope:
Comprehensive Curriculum: The program provided hard skills in Data Science, including machine learning, AI, natural language processing (NLP), data visualization, Big Data Technologies, and Business Transformation. It also included soft skills essential for analytics, like leadership and communication skills development.
Industry Specializations: The program offers a wide range of electives and concentrations covering everything from Fintech to Industry, Smart Health, Advanced AI, and the FMCG sector.
Professional Certifications: The program features multiple professional certifications, including Dataiku, Alteryx, GOogle, AWS, Tableau, Microsoft, and more.
Global Recognition: The program is ranked 7th worldwide.
Data Science and Big Data Analytics: Making Data-Driven Decisions, MIT- Online 12/2018
The Data Science and Big Data Analytics: Making Data-Driven Decisions program from MIT is a comprehensive course designed that helped me to unlock the true potential of data. Here’s a brief overview:
Objective: The program aims to teach you how to leverage your data more effectively, using the latest and most powerful tools, techniques, and theories in data science.
Outcome: Upon completion, I have been equipped with the knowledge to turn big data into even bigger results.
Bachelor of Computer Engineering & Automation Control, Tanta University, Egypt 07/2012
The Bachelor program equiped me with the necessary skills to excel in the field of computer engineering and automation control. Here’s a brief overview of the program’s scope:
Core Knowledge: The program provided me with a solid understanding of concepts and theories of mathematics and science, computer hardware and computerized devices, computer programming and software systems.
Specialized Skills: The curriculum helped me to acquire skills in computer networking, web design, and dealing with computer-controlled systems.
Industry Application: The program promoted the development of innovative systems and solutions using hardware and software integration.
Career Preparation: The program prepared me to interact with the hardware and software industry and provided comprehensive, interdisciplinary training in computer science and engineering.
Many Gen AI Badges and Certifications
Databricks Accredited GCP Platform Architect
Career Essentials in Generative AI by Microsoft and LinkedIn
Udacity Business Analytics Nanodegree (Alteryx & Tableau)
MIT Data Science and Big Data Analytics: Making Data-Driven Decisions
The Open Group Architecture Framework TOGAF 9.2 Certified
Google Analytics Implementation, Configuration, and Reporting
Oracle Data Integrator 11g Certified Implementation Specialist
Oracle Business Intelligence Applications 11g: Implementation Using ODI
Certificate of Achievement – Watson Analytics Fundamentals
Oracle Business Intelligence Foundation Suite 11g Certified Implementation Specialist
Certificate of Completion: Designing BI Solutions with Microsoft SQL Server
Certificate of Completion: Implementing Data Warehouse with SQL Server
Data & AI Architecture:
Data Warehouse (Dimensional Data Modeling, Classic InMon & Kimball Style Data Warehousing, Type 1 and 2 Dimensions, Fact Tables, Star Schema Design, Operational Data Store (ODS), Leveling), Data Lake, Data Mesh, Data Fabric, Data Vault, ETL, Data Quality, Metadata Management; Informatica Power Center, IBM DataStage, Oracle Data Integrator, Talend, Pentaho DI, Microsoft SSIS, and Netezza warehouse appliance.
AI & Machine Learning (ML) Engineering:
Machine Learning Algorithms; Data Sampling; Modeling; Scoring, Evaluation and Deployment; Linear & Logistic Regression, Forecasting Time Series, Classification, Clustering, Text Mining and Computer Vision, Generative AI (GenAI) & Foundation and LLM Models, prompt engineering, RAG (Retrieval Augmented Generation), Fine Tuning.
Data Analytics & Business Intelligence: Business Intelligence; Transforming data into insights; binning, Hierarchy, and Aggregation; R Language, Python, Alteryx, SAS Enterprise Guide, SAS E-Miner, Dataiku DSS, OBIEE, Cognos, Tableau, Carto, Power BI, Google Data Studio and Excel.
Social Media Analytics:
Social Media Listening, Sentiment Analysis, Brand Competition, Influencer Analysis; BrandWatch, Clarabridge, Unmetric, Klear.
Data Engines:
Structured Data, Semi Structured Data, Unstructured Data sources, Spark, HDFS, MongoDB, Hbase, Google Big Query, Oracle DB, hive, Microsoft SQL Server, IBM DB2, xml, json, and Microsoft Azure.
Frameworks:
TOGAF 9.2, CRISP Data Mining, DMM, Data Governance, Data Strategy, Data Operations, and Data Quality, Data Management Maturity Assessment (DMM COBIT 5).