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business intelligence and analytics team leader/manager Jobs in Finance Jobs In House Logistics Coordinator Jobs In Finance Jobs In House Logistics Coordinator Jobs In Marketing Jobs In Cairo

business intelligence and analytics team leader/manager

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business intelligence manager

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engineering manager

artificial intelligence manager

Abu Dhabi Islamic Bank - Egypt

<div>
 
 
 Primary Purpose
 
 
 
 Owns the strategy, architecture, and delivery of end-to-end AI/ML solutions; ensures compliance with banking regulations and internal policies; mentors juniors; partners with business owners to realize financial impact.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Strategy &amp; Prioritization
 
 
 <ul>
 <li>
 Participate in build and maintain AI roadmaps aligned to business OKRs and regulatory requirements.
 </li>
 <li>
 Prioritize high-ROI use cases (risk, fraud, AML, CX, revenue uplift, cost reduction).
 </li>
 </ul>
 
 
 
 
 
 Solution Architecture
 
 
 <ul>
 <li>
 Define target data and MLOps architecture (data lake/warehouse, feature store, model registry, CI/CD).
 </li>
 <li>
 Select tooling stack (e.g., Python, SQL, Spark, MLflow, feature store, Docker/Kubernetes, Airflow/Argo, API gateways, math, LLM tools, Gen AI tools, Agentic AI tools , &hellip; ).
 </li>
 </ul>
 
 
 
 
 
 Data &amp; Feature Governance
 
 
 <ul>
 <li>
 Establish data quality SLAs, lineage, cataloging, PII handling, and approval workflows.
 </li>
 <li>
 Define and curate reusable feature store assets with business definitions.
 </li>
 </ul>
 
 
 
 
 
 Model Development &amp; Review
 
 
 <ul>
 <li>
 Lead modeling approach selection; design experiments and validation plans.
 </li>
 <li>
 Enforce controls: bias testing, stability tests, challenger models, reject inference (where appropriate), and backtesting.
 </li>
 <li>
 Ensure explainability (SHAP/feature attributions), documentation, and approval packs for Model Risk Management.
 </li>
 </ul>
 
 
 
 
 
 Deployment &amp; MLOps
 
 
 <ul>
 <li>
 Standardize CI/CD for models, automated tests, reproducibility, canary/blue-green releases, and rollbacks.
 </li>
 <li>
 Define monitoring KPIs: performance, calibration, drift, data quality, and fairness; design alerting and retraining triggers.
 </li>
 </ul>
 
 
 
 
 
 Risk, Compliance, and Security
 
 
 <ul>
 <li>
 Align with regulatory expectations (e.g., model governance, fair lending principles, AML/CTF).
 </li>
 <li>
 Ensure secure data handling: encryption, masking, segregation of duties, access reviews.
 </li>
 </ul>
 
 
 
 
 
 Business Integration &amp; Value Realization
 
 
 <ul>
 <li>
 Translate model outputs into decisions, thresholds, and policies; integrate with decision engines and channels.
 </li>
 <li>
 Track realized impact with finance (uplift, loss reduction, approval rates, NPLs, fraud savings, CX metrics).
 </li>
 </ul>
 
 
 
 
 
 Leadership &amp; Mentorship
 
 
 <ul>
 <li>
 Coach juniors via code reviews, pair programming, and learning plans.
 </li>
 <li>
 Build documentation, templates, and runbooks.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Management
 
 
 <ul>
 <li>
 Communicate risks, timelines, and outcomes to executives; coordinate with IT, InfoSec, Audit and AI committee.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 7+ years in banking AI/ML or fintech; successful production deployments in credit risk/fraud/AML/marketing analytics is preferred.
 </li>
 <li>
 Strong in Python/SQL; experience with Spark; containerization (Docker), CI/CD; orchestration (Airflow/Argo); APIs (REST/GraphQL), LLM / Gen AI tools.
 </li>
 <li>
 Solid grasp of feature engineering for financial data, time-series methods, imbalanced classification, uplift modelling, and behaviour analysis.
 </li>
 <li>
 Cop with all AI new technologies, concepts with converting latest technologies to real life applications.
 </li>
 <li>
 MRM/Responsible AI: bias testing, interpretability, stability, documentation, and audit readiness.
 </li>
 <li>
 On-prem patterns; security and privacy best practices.
 </li>
 <li>
 Communication and leadership across technical and non-technical stakeholders.
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Manager

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

Bosta

<div>
 
 About Bosta:
 
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions.
 
 
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 
 
 About the Role!
 
 
 This role is based at our mall booth and focuses on customer service, basic retail operations, and supporting both business and
 
 
 individual customers.
 
 
 
 Job Code :
 
 New 2026COMM-055
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Handle all day-to-day booth operations
 </li>
 <li>
 Respond to inquiries from businesses inside Citystars Mall as well as external businesses using the PUDO service
 </li>
 <li>
 Manage business drop-offs, pickups, and cash-out transactions as needed
 </li>
 <li>
 Support new business sign-ups for Bosta services (no active sales pushing&mdash;assist walk-ins who express interest)
 </li>
 <li>
 Assist individual customers (C2C) by preparing their packages, including wrapping, attaching flyers, adding detailed address tags, and scheduling the pickup
 </li>
 <li>
 Provide excellent customer service to all walk-in clients
 </li>
 <li>
 Handle occasional cash-out or settlement processes with partner businesses
 
 
 
 </li>
 </ul>
 
 Job Qualifications:
 
 
 
 <ul>
 <li>
 Strong background in customer service
 </li>
 <li>
 Comfortable handling simple financial transactions and settlements
 </li>
 <li>
 Able to manage booth operations efficiently and maintain a professional, helpful attitude
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Retail Sales Specialist

<div>
 About Bosta:
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience altogether to provide a one-stop shop for delivery solutions.
 
 
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 
 
 
 About the Role:
 
 
 
 The Process Improvement Associate Manager is responsible for owning and delivering network-wide operational improvement initiatives across Bosta&rsquo;s first mile, sortation, and last mile operations. This role leads complex cross-functional projects, designs scalable SOPs, supports automation initiatives with Product and Technology teams, and coaches specialists to execute high-impact transformations on the ground.
 
 
 The Lead translates strategic improvement priorities into operational reality by diagnosing inefficiencies, designing solutions, piloting changes, and scaling best practices across the network.
 
 
 
 Job Code:
 
 
 
 2026OPER-139
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Lead end-to-end process improvement initiatives across multiple operational domains and facilities
 </li>
 <li>
 Diagnose process gaps using data, time studies, field observation, and root-cause analysis
 </li>
 <li>
 Design optimized workflows and SOPs that improve productivity, quality, cost efficiency, and scalability
 </li>
 <li>
 Own pilots, testing, rollout plans, and stabilization phases for all improvement initiatives
 </li>
 <li>
 Partner with Product and Technology teams to translate operational requirements into automation and system enhancements
 </li>
 <li>
 Coach and guide Process Improvement Specialists through project execution, field deployment, training, and compliance activities
 </li>
 <li>
 Collaborate with Data &amp; Performance teams to validate improvements, quantify ROI, and track benefit realization
 </li>
 <li>
 Work closely with the Quality function to embed SOP updates, training programs, and adoption audits
 </li>
 <li>
 Support network expansions and new facility launches by defining standards and ensuring operational readiness
 </li>
 <li>
 Present improvement roadmaps, results, and performance updates to senior operations leadership
 
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Operations Management, Business, or a related field
 </li>
 <li>
 4&ndash;6 years of experience in operations, logistics, consulting, manufacturing, or process improvement roles within multi-site or high-volume environments
 </li>
 <li>
 Proven track record of leading cross-functional operational improvement projects from diagnostic to rollout
 </li>
 <li>
 Experience applying Lean, Six Sigma, or continuous improvement methodologies (certification is a strong advantage)
 </li>
 <li>
 Strong analytical skills with the ability to interpret data and translate insights into executable operational solutions
 </li>
 <li>
 Demonstrated ability to manage multiple stakeholders and drive initiatives without formal authority
 </li>
 <li>
 Leadership mindset with experience coaching or leading small teams or project pods
 </li>
 <li>
 High bias for action, operational ownership, and comfort working in fast-growth environments
 </li>
 <li>
 Experience in logistics, last-mile, or fulfillment networks is a strong advantage
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Process Improvement Associate Manager

بنك التعمير والإسكان HD Bank

<div>
 
 
 
 Business Intelligence and Analytics Team Leader/Manager
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 Participating in the development and implementation of the bank&rsquo;s Business Intelligence (BI) strategy, designing and overseeing the deployment of analytical platforms, ensuring their alignment with the bank&rsquo;s overall objectives, and reviewing all data analysis activities.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Developing and implementing the bank&rsquo;s Business Intelligence (BI) strategy, ensuring its alignment with the bank&rsquo;s overall objectives.
 </li>
 <li>
 Designing and overseeing the implementation of analytical platforms.
 </li>
 <li>
 Carrying out &amp; Overseeing data analysis activities, including data mining, trend analysis, and predictive modeling, to generate actionable insights and support decision-making across all bank sectors.
 </li>
 <li>
 Preparing &amp; reviewing periodic and on-demand analytical reports in accordance with the requirements of various bank sectors.
 </li>
 <li>
 Providing guidance and support to specialized data analysis teams across different departments as needed.
 </li>
 <li>
 Reviewing the implementation of statistical models (ML / regression models) and classifying the bank&rsquo;s data into relevant segments for sharing with concerned stakeholders.
 </li>
 <li>
 Developing &amp; reviewing dashboards and data visualizations that deliver accurate, relevant, and timely information to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Job Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Information Technology, Computer Engineering, Computer Science, or an equivalent higher qualification in a related field.
 </li>
 <li>
 A minimum of 3 years of experience in a related field for the Team Leader Position
 </li>
 <li>
 A minimum of 8 years of experience in a related field for the Manager Position
 </li>
 </ul>
</div>

Business Intelligence and Analytics Team Leader/Manager

<div>
 
 About Bosta:
 
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions.
 
 
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 
 
 The Role!
 
 
 This position is responsible for managing Bosta&rsquo;s end-to-end payroll operations, ensuring accuracy, compliance, and timely delivery across all entities. Acts as the subject matter expert on payroll governance, statutory regulations, and system integrity.
 
 
 
 Job Code:
 
 
 
 2026PEOP-175
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Manage full monthly payroll cycle across all Bosta entities
 </li>
 <li>
 Validate variable inputs (attendance, overtime, commissions, etc.) before processing
 </li>
 <li>
 Reconcile payroll reports with HR systems and Finance records
 </li>
 <li>
 Manage adjustments, retroactive payments, and off-cycle runs when needed
 </li>
 <li>
 Ensure compliance with labor, tax, and social insurance laws
 </li>
 <li>
 Handle all government documents filings and coordinate with auditors and authorities and update payroll practices according to legislative changes
 </li>
 <li>
 Maintain payroll data accuracy in HRIS and ensure workflow approvals
 </li>
 <li>
 Implement internal controls and regular audits to reduce errors
 </li>
 <li>
 Provide monthly payroll analytics, cost reports, and headcount trends
 </li>
 <li>
 Support compensation and manpower planning with payroll data insights
 </li>
 <li>
 Maintain documentation and ensure full confidentiality of payroll data
 
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experiences
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Accounting, Finance, or Business Administration
 </li>
 <li>
 .5&ndash;7 years of payroll experience
 </li>
 <li>
 Strong knowledge of Egyptian labor law, tax, and social insurance
 </li>
 <li>
 Advanced Excel and HRIS/payroll system skills
 
 
 
 </li>
 </ul>
 Core Competencies:
 
 
 <ul>
 <li>
 Accuracy and attention to detail
 </li>
 <li>
 Analytical and problem-solving ability
 </li>
 <li>
 Confidentiality and integrity
 </li>
 <li>
 Collaboration and communication
 </li>
 <li>
 Continuous improvement mindset
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior Payroll Specialist

Inovola

<div>
 
 Job Overview
 
 
 
 We are looking for a talented
 
 AI Engineer
 
 with over three years of experience in Large Language Models (LLMs), Conversational AI, and Generative AI. The ideal candidate will have hands-on experience building intelligent systems with LangChain and LangGraph, with a focus on AI agents, retrieval-augmented generation (RAG), and autonomous reasoning pipelines.
 
 
 You'll collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, fine-tune, and deploy LLMs for production-ready applications.
 </li>
 <li>
 Build AI agents and multi-agent systems using LangChain, LangGraph, and related frameworks.
 </li>
 <li>
 Develop and integrate Conversational AI pipelines that deliver seamless, human-like interactions.
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and document retrievers.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Develop and maintain APIs and backend services using FastAPI and modern software engineering practices.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments.
 </li>
 <li>
 Stay current with advancements in LLMs, Agentic AI, and Generative AI ecosystems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and experience with LangChain and LangGraph for AI agent orchestration.
 </li>
 <li>
 Experience integrating LLMs via APIs such as OpenAI, Anthropic, or Google Vertex AI.
 </li>
 <li>
 Solid understanding of prompt engineering, RAG pipelines, and tool-using AI agents.
 </li>
 <li>
 Proficiency with PyTorch, Transformers (Hugging Face), and vector databases (e.g., Qdarnt, FAISS, Chroma).
 </li>
 <li>
 Experience designing multi-agent systems or workflow-based AI agents using LangGraph or similar frameworks.
 </li>
 <li>
 Knowledge of LLM evaluation, prompt optimization, and context management strategies.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with MLOps and continuous integration/deployment pipelines for AI systems.
 </li>
 <li>
 Understanding of generative AI models for text, image, or multimodal outputs.
 </li>
 <li>
 Familiar with traditional ML and computer vision.
 </li>
 <li>
 Strong problem-solving, collaboration, and communication skills.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
 </li>
 <li>
 3+ years of hands-on experience in AI/ML model development and deployment.
 </li>
 </ul>
</div>

Mid/Senior AI Developer

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