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business development coordinator

Nexus Analytica

<h2>Purpose of the Role</h2>The Client Delivery Manager is the single point of accountability for the delivery of a major enterprise software platform to a large utility client. The role owns the client relationship day-to-day, drives contractual milestones through to formal acceptance, and protects both the delivery schedule and the commercial terms of the contract.This is a governance and relationship role, not an engineering one. The postholder works in partnership with CTO and  with a Product Manager who owns scope definition, and with Business Development Director who owns the commercial relationship above the project.<h2>Key Responsibilities</h2><h2>Client Relationship</h2><ul><li>Act as the client's primary point of contact for all delivery matters.</li><li>Run the weekly status meeting and issue the written status report and action log.</li><li>Maintain and actively manage the client stakeholder map — control centre engineers, IT, procurement, and the executive sponsor.</li><li>Escalate early and in writing. No issue should reach the company first from the client's side.</li></ul><h2>Delivery Governance</h2><ul><li>Own the master schedule and drive it against contractual milestones.</li><li>Maintain the RAID log (risks, assumptions, issues, dependencies) and review it weekly with the delivery team.</li><li>Coordinate FAT, SAT, UAT, training, and go-live readiness in partnership with the Technical Delivery Lead.</li><li>Chair the bi-weekly steering committee with both executive sponsors.</li></ul><h2>Commercial Protection</h2><ul><li>Drive milestone acceptance sign-offs, which are the contractual triggers for invoicing.</li><li>Enforce change control: no scope moves without a documented, priced, and signed change request.</li><li>Flag margin risk, schedule slippage, and dependency failures to the Delivery Director before they translate into cost.</li><li>Support Business Development on change order pricing and expansion opportunities.</li></ul><h2>Internal Coordination</h2><ul><li>Translate client requirements and complaints into work the engineering team can consume.</li><li>Interface with the Product Manager on scope definition and backlog priority, protecting the product roadmap from unmanaged client-specific demands.</li><li>Direct the Project Coordinator on documentation, minutes, trackers, and the invoicing pack.</li><li>Shield the engineering team from unmanaged client interruption.</li></ul><h2>Post Go-Live</h2><ul><li>Transition the account into support and SLA governance.</li><li>Identify follow-on work and hand qualified opportunities to Business Development.</li></ul> <h2>Requirements</h2><h2>Essential</h2><ul><li>Bachelor's degree in engineering, computer science, or a related field.</li><li>Seven or more years in delivery or project management of enterprise software for large organisations.</li><li>Demonstrated experience delivering to Egyptian utility, government, or state-owned clients — including procurement culture, approval chains, and formal correspondence.</li><li>Track record of owning contractual milestones through to client acceptance and payment.</li><li>Strong technical literacy: able to read architecture diagrams, interrogate estimates, and recognise when an engineering explanation does not hold.</li><li>Fluent Arabic and English, including formal written reporting (French or German is a plus).</li></ul><h2>Desirable</h2><ul><li>Exposure to SCADA, EMS, ADMS, or OT environments in any capacity.</li><li>Familiarity with utility control centre operations.</li><li>PMP, PRINCE2, or an equivalent project management qualification.</li><li>Prior experience working with transmission or distribution utilities.</li></ul><h2>Attributes</h2><ul><li>Comfortable being the person who says no to the client.</li><li>Writes clearly and often — the paper trail is part of the job.</li><li>Curious about the technical domain without wanting to do the technical work.</li></ul> <h2>Success Measures — First 12 Months</h2><ul><li>Milestone acceptance sign-offs obtained on or ahead of contractual dates.</li><li>Collections achieved against invoiced milestones.</li><li>Zero unpriced scope delivered.</li><li>Client escalations resolved at project level rather than escalated to executive level.</li><li>Steering committee cadence maintained without slippage.</li></ul> <h2> </h2>

Client Delivery Manager - NexusGRID

ISS INTERNATIONAL SpA

<div>
 ISS International Spa is looking for a Engineering Coordinator to be based at offices in Cairo, Egypt.
 
 
 The activities will primarily focus on the detailed engineering design of two offshore gas platform in addition to other ongoing projects.
 
 
 Job location is Cairo, Egypt with missions outside Cairo (Egypt and abroad).
 
 
 
 Here Below You Can See All The Details
 
 
 
 <ul>
 <li>
 Location: Cairo, Egypt;
 </li>
 <li>
 Expected Starting date: July 2026;
 </li>
 <li>
 Duration: 12 months, liable to extension;
 </li>
 <li>
 Working schedule: 8 hours / day, 5 days/week;
 </li>
 <li>
 Rotation: N/A
 </li>
 </ul>
</div>

Engineering Coordinator

the Fini Company ES

<div>
 
 At The Fini Company, we are committed to attracting top talent!
 
 
 
 Do you have experience managing international business through distributors and developing markets in dynamic, multicultural environments? Are you motivated by driving commercial growth, making a direct impact on business results, and being part of a fast-growing international company where your leadership truly makes a difference?
 
 
 If this sounds like you&hellip;
 
 we&rsquo;re looking forward to meeting you!
 
 
 
 We are looking for a
 
 Regional Business Manager &ndash; Egypt &amp; North Africa
 
 to join The Fini Company in a high-impact role with strong visibility and direct exposure to senior leadership.
 
 
 You will lead the development of our business across Egypt and selected North African markets, driving growth through distributor management and ensuring strong in-market execution. From shaping market strategies to delivering results, you will play a key role in accelerating our expansion in the region.
 
 
 If you&rsquo;re passionate about building markets, driving performance, and making a real impact in an international environment&hellip; this is your opportunity.
 
 
 
 Main Responsibilities
 
 
 
 <ul>
 <li>
 Commercial strategy execution and business development
 </li>
 <li>
 Lead and execute Fini&rsquo;s commercial strategy across Egypt and North Africa through appointed distributors.
 </li>
 <li>
 Drive sales growth, profitability, market share, and distribution expansion in line with business objectives.
 </li>
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 Identify growth opportunities through market analysis, customer insights, and channel development.
 </li>
 <li>
 Ensure alignment between market activities and global/regional strategic priorities.
 </li>
 <li>
 Market performance and planning
 </li>
 <li>
 Deliver results across key KPIs, including sales, margins, distribution, and execution quality.
 </li>
 <li>
 Develop annual business plans, budgets, and forecasts for each market.
 </li>
 <li>
 Monitor performance, identify risks and opportunities, and define corrective action plans.
 </li>
 <li>
 Provide regular reporting and performance reviews to senior management.
 </li>
 <li>
 Distributor management and execution excellence
 </li>
 <li>
 Manage distributor performance end-to-end, ensuring compliance with agreed objectives and KPIs.
 </li>
 <li>
 Oversee forecasting accuracy, stock levels, and overall supply efficiency in the market.
 </li>
 <li>
 Drive excellence in in-store execution, visibility, and promotional activities.
 </li>
 <li>
 Build strong partnerships with distributors, ensuring alignment, accountability, and continuous improvement.
 </li>
 <li>
 Key account development and market execution
 </li>
 <li>
 Support the development of key accounts and strategic customers in the region.
 </li>
 <li>
 Partner with distributors to strengthen negotiation, execution, and customer relationships.
 </li>
 <li>
 Ensure effective implementation of trade marketing and promotional plans.
 </li>
 <li>
 Monitor competition, pricing, and market dynamics to ensure competitiveness.
 </li>
 <li>
 Stakeholder management and cross-functional coordination
 </li>
 <li>
 Collaborate with internal teams (Marketing, Supply Chain, Finance) to ensure alignment and execution consistency.
 </li>
 <li>
 Provide market intelligence and insights to support strategic decision-making.
 </li>
 <li>
 Act as the key point of contact for the region, ensuring clear communication and coordination.
 </li>
 <li>
 Coaching, capability building, and market intelligence
 </li>
 <li>
 Coach and support distributor teams to enhance capabilities and performance.
 </li>
 <li>
 Monitor market trends, competitor activity, and customer behavior.
 </li>
 <li>
 Drive a culture of accountability, performance orientation, and continuous improvement across the region.
 
 
 
 </li>
 </ul>
 Requirements:
 
 
 
 Education
 
 
 
 <ul>
 <li>
 University degree in Business Administration, Marketing, Economics, or related field.
 
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Minimum of 10 years of experience in FMCG sales.
 </li>
 <li>
 Strong experience in distributor management and multi-market commercial operations.
 </li>
 <li>
 Proven track record in delivering growth, managing key accounts, and driving execution excellence.
 </li>
 <li>
 Strong understanding of the Egyptian market and North African business environment.
 
 
 
 </li>
 </ul>
 
 Languages
 
 
 
 <ul>
 <li>
 Fluent in Arabic and English (mandatory).
 </li>
 <li>
 French is a plus.
 
 
 
 </li>
 </ul>
 
 Key Skills
 
 
 
 <ul>
 <li>
 Strong commercial and business acumen
 </li>
 <li>
 Results orientation and performance-driven mindset
 </li>
 <li>
 Strategic thinking with strong execution capabilities
 </li>
 <li>
 Leadership and influencing skills
 </li>
 <li>
 Analytical and decision-making skills
 </li>
 <li>
 Stakeholder management and cross-functional collaboration
 </li>
 <li>
 Negotiation and distributor management
 </li>
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 Proactivity, autonomy, and adaptability in dynamic environments
 </li>
 <li>
 Market awareness and customer orientation
 </li>
 </ul>
</div>

Regional Sales Manager: Egypt, Tunisia, Libya & Algeria

Datamatics Technologies

<div>
 Job Description: AI Product &amp; Business Translation Lead
 
 
 Job Title:
 
 AI Product &amp; Business Translation Lead
 
 
 Experience:
 
 9&ndash;12+ Years
 
 
 Location:&nbsp;
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking an experienced
 
 AI Product &amp; Business Translation Lead
 
 with
 
 9&ndash;12+ years of experience
 
 to bridge the gap between business objectives, product strategy, and artificial intelligence capabilities. The ideal candidate will have strong expertise in defining AI use cases, developing AI-driven product strategies, engaging executive stakeholders, and driving successful adoption of AI solutions across organizations.
 
 
 This role requires a strong understanding of business transformation, AI capabilities, product lifecycle management, and the ability to translate complex AI concepts into measurable business outcomes.
 
 Key Responsibilities
 <ul>
 <li>
 Define and prioritize AI use cases aligned with business objectives and strategic goals
 </li>
 <li>
 Develop AI product strategies, roadmaps, and adoption frameworks
 </li>
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 Collaborate with business leaders, product teams, data scientists, and engineering teams to identify AI opportunities
 </li>
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 Translate business requirements into actionable AI solutions and product initiatives
 </li>
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 Evaluate AI opportunities based on business value, feasibility, scalability, and impact
 </li>
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 Drive stakeholder engagement across business and technology teams
 </li>
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 Support AI adoption initiatives by creating awareness, enablement plans, and change management strategies
 </li>
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 Define success metrics and KPIs for AI product initiatives
 </li>
 <li>
 Facilitate communication between technical teams and business stakeholders
 </li>
 <li>
 Support governance, prioritization, and lifecycle management of AI solutions
 </li>
 <li>
 Identify industry trends and emerging AI capabilities to recommend strategic opportunities
 </li>
 </ul>
 Required Technical &amp; Business SkillsAI Use Case Strategy
 <ul>
 <li>
 Strong experience in
 
 AI use case definition
 
 and identification of business opportunities for AI adoption
 </li>
 <li>
 Ability to evaluate AI feasibility, business impact, and implementation roadmap
 </li>
 <li>
 Experience translating AI capabilities into practical business solutions
 </li>
 </ul>
 Product Strategy &amp; Management
 <ul>
 <li>
 Strong experience in
 
 AI product strategy
 
 and roadmap development
 </li>
 <li>
 Experience defining product vision, priorities, success metrics, and adoption strategies
 </li>
 <li>
 Understanding of product lifecycle management and digital transformation initiatives
 </li>
 </ul>
 Stakeholder Engagement
 <ul>
 <li>
 Proven experience managing
 
 stakeholder engagement
 
 across business, technology, and executive teams
 </li>
 <li>
 Ability to communicate complex AI concepts to technical and non-technical audiences
 </li>
 <li>
 Experience facilitating workshops, discovery sessions, and executive discussions
 </li>
 </ul>
 AI Adoption &amp; Change Enablement
 <ul>
 <li>
 Experience driving
 
 AI adoption
 
 across organizations
 </li>
 <li>
 Ability to develop adoption frameworks, training strategies, and business enablement plans
 </li>
 <li>
 Understanding of organizational change management principles
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field
 </li>
 <li>
 
 9&ndash;12+ years
 
 of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles
 </li>
 <li>
 Strong understanding of AI/ML concepts and enterprise AI adoption challenges
 </li>
 <li>
 Excellent leadership, communication, and stakeholder management skills
 </li>
 <li>
 Proven ability to manage cross-functional initiatives and deliver business outcomes
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products
 </li>
 <li>
 Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services
 </li>
 <li>
 Experience in enterprise transformation programs and innovation initiatives
 </li>
 <li>
 Familiarity with AI governance, responsible AI practices, and risk management
 </li>
 <li>
 Experience working in Agile product development environments
 </li>
 </ul>
 Key Capability Areas
 <ul>
 <li>
 
 AI Strategy:
 
 AI Use Case Definition
 
 and
 
 AI Opportunity Assessment
 
 and
 
 Business Value Mapping
 </li>
 <li>
 
 Product Management:
 
 Product Strategy
 
 and
 
 AI Roadmap Development
 
 and
 
 Adoption Planning
 </li>
 <li>
 
 Stakeholder Management:
 
 Executive Engagement
 
 and
 
 Cross-functional Collaboration
 
 and
 
 Business-Technology Alignment
 </li>
 <li>
 
 AI Adoption:
 
 Change Enablement
 
 and
 
 User Adoption Strategy
 
 and
 
 AI Transformation Initiatives
 </li>
 <li>
 
 Business Translation:
 
 Translating AI Capabilities
 
 and
 
 Driving Measurable Business Outcomes
 
 and
 
 Strategic Decision Support
 </li>
 </ul>
</div>

AI Product & Business Translation Lead

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
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 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Valleysoft | Center of Excellence

<div>
 Valleysoft is a regional IT services provider delivering enterprise technology and business process solutions for clients globally. Working across the Information Technology and Services sector, the company supports organizations with the systems, platforms, and data capabilities they need to operate effectively and make better decisions.
 
 
 In this role, you will help shape enterprise data architecture for complex client environments, supporting the design of scalable information assets, stronger governance practices, and more effective use of data across the business. The position plays a central part in connecting architecture, analytics, and operational data needs while partnering closely with technical teams and business stakeholders.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build the bank enterprise architecture tool and maintain enterprise architecture artifacts
 </li>
 <li>
 Maintain and develop data collection, storage, and transfer systems used by the project team
 </li>
 <li>
 Support the development of advanced data analytics products
 </li>
 <li>
 Define data architecture and select data collection, storage, and analysis technologies
 </li>
 <li>
 Monitor data availability, completeness, and quality, including the integration of internal and external data sources and the use of analytical tools
 </li>
 <li>
 Manage and approve the list of Critical Data Elements (CDEs), including guiding domains on prioritization
 </li>
 <li>
 Lead business and technical metadata management activities
 </li>
 <li>
 Establish, monitor, and enforce business processes and standards for metadata management and compliance
 </li>
 <li>
 Provide technical support to IT teams on data architecture, logical data models, and data strategy across the bank's systems and applications
 </li>
 <li>
 Define and maintain logical data models and information assets
 </li>
 <li>
 Provide templates for structuring business metadata, including business definitions, security and access levels, and data quality rules, as well as technical metadata such as physical data elements and data lineage
 </li>
 <li>
 Approve changes to metadata and manage new metadata demand
 </li>
 <li>
 Approve business definitions and data lineage developed by domains
 </li>
 <li>
 Define metadata standards and ensure compliance
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Bachelor's degree in Computer Science, Engineering, or Mathematics.
 
 
 Eligible to work in Egypt.
 
 
 Expertise in database systems, including SQL and NoSQL databases such as MongoDB or Cassandra.
 
 
 Strong knowledge of data warehousing solutions such as Snowflake or Amazon Redshift.
 
 
 Experience with data modeling, data architecture design, and schema development.
 
 
 Proficiency in ETL/ELT tools and processes.
 
 
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 
 
 Knowledge of big data technologies, including Hadoop or Spark.
 
 
 
 Experience
 
 
 
 Minimum of 3 years of experience designing and developing complex, high-quality analytical solutions.
 
 
 3+ years of experience in data platform implementation and data architecture.
 
 
 7+ years of experience in technical and IT roles.
 
 
 Proven experience designing and implementing data architectures.
 
 
 Experience working with data governance, data quality, and data security.
 
 
 Past experience involving data strategy, data integration, and data infrastructure development.
 
 
 Experience working with business domain owners, enterprise architecture teams, IT leadership, and senior banking stakeholders.
 
 
 
 Soft Skills
 
 
 
 Strong analytical and problem-solving skills.
 
 
 Ability to communicate complex data concepts to non-technical stakeholders.
 
 
 Leadership and project management capabilities.
 
 
 Background in banking or financial services is preferred.
 
 
 Familiarity with metadata governance and data lineage is a plus.
 
 
 Familiarity with enterprise architecture tooling is a plus.
 
 
 TOGAF certification or a similar enterprise architecture certification is preferred.
</div>

Data Architect

CRIF Egypt (Dun & Bradstreet)

<div>
 
 
 
 Company:
 
 CRIF Egypt
 
 
 
 CRIF is a global company Established in 1988 in Bologna (Italy), and has an international presence, operating over four continents (Europe, America, Africa, and Asia). CRIF is a market leader in the field of Business Information and corporate credit ratings, which supports financial institutions, corporates, and consumers to build their professional buying, selling, investments, and credit decisions based on updated and enhanced due diligence information.
 
 
 
 
 Job Description:
 
 Business Development Manager &ldquo;Sole Contributor&rdquo;
 
 
 
 
 
 Sales Territory-
 
 
 Egypt
 
 
 
 
 Location:
 
 
 Egypt
 
 
 As a Business Development Manager, you will be responsible for acquiring new business to build a sustainable and growing client portfolio in Egypt Markets to achieve assigned sales targets. The job holder will be permanently stationed in the Egypt office.
 
 
 
 
 Responsibilities:
 
 
 
 
 Engage directly with Banks, Financial Institutions, Government Entities, and corporates to establish and develop relationships with new prospective clients.
 
 
 Achieve the assigned sales targets through new business opportunities and reaching targeted revenues
 
 
 Autonomously run sales activities and plan customer meetings.
 
 
 Maintain and develop relationships with the on-boarded clients while presenting a superior level of customer experience and feedback.
 
 
 
 
 Minimum Qualification and Experience:
 
 
 
 
 Bachelor&rsquo;s Degree
 
 
 3 to 5 years of experience in B2B Sales
 
 
 Proven success records of accomplishment.
 
 
 Excellent communication and presentation skills
 
 
 Must hold work experience in Egypt
 
 
 
 
 Competency Requirement:
 
 
 
 
 Excellent sales and negotiation skills
 
 
 Initiation and innovation spirit, self-driven, and enthusiastic.
 
 
 Excellent communication skills in both Arabic and English Languages.
 
 
 Good planning and organization skills
 
 
 Networking and data building skills
 
</div>

Business Development Manager

Explore 157+ Business development coordinator in Cairo this August. Find roles across top companies and apply now to boost your career.