Technical Duties:
- Manage day-to-day operations of the data intelligence and AI operations section, ensuring efficiency, accuracy, and compliance with industry regulations and standards.
- Lead and execute the design, development, and implementation of AI-powered and data-driven solutions, and intuitive dashboards.
- Drive integration efforts for various data sources and systems to ensure seamless data and model flow and compatibility.
- Establish and optimize analytical frameworks, leveraging data and AI models for insights and decision-making across departments.
- Identify opportunities to enhance data and AI processes, optimize performance and improve efficiency.
- Conduct initiatives for data and AI model cleansing, transformation, and enrichment to ensure high-quality, compliant data sets for analytical and AI purposes.
- Databases: SAP HANA with HANA SAP studio knowledge, SQL/My SQL server
- Programming Languages: .NET, Python and Php
- Data Analytics: SAP Analytics Cloud (SAC): Stories, Analytic Application, Schedule Publication, Modeling (BW, HANA DB, CSV, etc.…), Connections and Predictive scenario
- SAP Datasphere (SAP DS)
- Business Warehouse: (SAP BW) either SAP system BW or BW Database
- Workflow development and integration – Kissflow knowledge is an advantage
- Integration:
- Building Web services (API) - Restfull, Soap and graphql using .Net
- Data Sources: SAP BW, SAP PABI and API from different sources (example Docusign, OpenText, any third party ….)
- Application Intelligence Services:
- AI Technologies & Methodologies: LLM, RAG, AI Agents, Agentic AI and MCP
- Tools: Azure AI, AI foundry and Microsoft data Fabric
Required Educational:
A bachelor's degree in computer engineering, Industrial Engineering or in any other related field.
Required Experience:
Minimum of 10 years of experience in similar related field.
