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oracle fusion enterprise contracts integration lead

Deloitte

<div>
 
 EAI&amp;D &ndash; AI &amp; Data &ndash; AI Architect Manager
 
 
 
 
 About Deloitte
 
 : When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training &amp; Development Excellence Award.
 
 
 
 Our Purpose
 
 
 
 Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most&mdash;for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
 
 
 Our shared values guide the way we behave to make a positive, enduring impact:
 
 
 We are seeking a highly experienced
 
 AI Architect at Manager level
 
 to lead the design, development, and delivery of cutting-edge AI solutions for our clients. The role combines deep technical expertise in artificial intelligence with the ability to shape strategic engagements, advise senior stakeholders, and lead multidisciplinary teams. This is a client-facing leadership position where you will architect enterprise-grade AI solutions that drive measurable business impact.
 
 
 
 Key Responsibilities
 
 
 
 
 Strategy &amp; Advisory
 
 
 
 <ul>
 <li>
 Act as a trusted advisor on emerging AI trends (generative AI, agentic AI, decision intelligence, industrial AI, digital twins, etc.) and their enterprise applications.
 
 
 </li>
 </ul>
 
 Architecture &amp; Solution Design
 
 
 
 <ul>
 <li>
 Define enterprise-scale AI architectures, including LLM-based solutions, MLOps, agent orchestration, data pipelines, and integration with existing enterprise platforms (SAP, Oracle, Salesforce, ServiceNow).
 </li>
 <li>
 Establish best practices in trust, risk, governance, and compliance, ensuring adherence to regulatory frameworks (e.g., GDPR, PDPL, NDMO).
 </li>
 <li>
 Provide architectural leadership across AI infrastructure (cloud platforms such as GCP, AWS, Azure), model deployment frameworks, and edge/on-device AI where relevant.
 
 
 </li>
 </ul>
 
 Delivery &amp; Execution
 
 
 
 <ul>
 <li>
 Lead end-to-end delivery of complex AI programs, from PoC through scaling into production.
 </li>
 <li>
 Collaborate with engineering, data science, and consulting teams to ensure solutions are scalable, secure, and high-performing.
 </li>
 <li>
 Drive the industrialization of AI assets into reusable accelerators and IP for the firm.
 
 
 </li>
 </ul>
 
 Leadership &amp; Practice Building
 
 
 
 <ul>
 <li>
 Mentor and develop AI architects, engineers, and consultants within the firm.
 </li>
 <li>
 Contribute to the growth of the AI consulting practice through go-to-market offerings, client proposals, and thought leadership.
 </li>
 <li>
 Represent the firm at industry forums, conferences, and client workshops as a thought leader in AI architecture.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 8-10 years of professional experience with at least 4+ years in AI/ML architecture roles.
 </li>
 <li>
 Proven experience in consulting or advisory, ideally within Big 4, top-tier consulting, or a global systems integrator.
 </li>
 <li>
 Strong technical foundation in:
 </li>
 <ul>
 <li>
 Large Language Models (LLMs), generative AI, and agent-based systems
 </li>
 <li>
 MLOps, data engineering, cloud-native AI solutions (GCP, Azure, AWS)
 </li>
 <li>
 Enterprise application ecosystems (ERP, CRM, HRM platforms)
 </li>
 <li>
 AI security, governance, and compliance frameworks
 </li>
 </ul>
 <li>
 Track record of leading large-scale AI programs and cross-functional teams.
 </li>
 <li>
 Strong business acumen with ability to translate complex AI concepts into executive-level narratives and measurable value.
 </li>
 <li>
 Advanced degree in Computer Science, Computer Engineering, AI or related field preferred.
 </li>
 <li>
 Willingness to travel across GCC region (50-75% of time)
 
 </li>
 </ul>
 
 Additional Preferred Qualifications
 
 
 
 <ul>
 <li>
 Arabic language is a plus.
 </li>
 <li>
 Professional Certifications in the field is a plus.
 </li>
 <li>
 Publications or articles on Artificial Intelligence topics is a plus.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Strategic Thinking &ndash; Ability to shape enterprise AI transformation journeys.
 </li>
 <li>
 Technical Leadership &ndash; Expertise in designing and governing scalable AI architectures.
 </li>
 <li>
 Client Engagement &ndash; Strong consulting skills, executive presence, and storytelling ability.
 </li>
 <li>
 Innovation Mindset &ndash; Passion for exploring emerging AI paradigms and turning them into business value.
 </li>
 <li>
 People Leadership &ndash; Proven ability to mentor, inspire, and build high-performing teams.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to lead AI architecture for some of the region&rsquo;s most ambitious transformation programs.
 </li>
 <li>
 A platform to shape the future of AI consulting and build new IP and accelerators.
 </li>
 <li>
 Career growth in a dynamic, fast-scaling practice with global exposure.
 </li>
 <li>
 Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
 </li>
 <li>
 Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
 </li>
 <li>
 Strong business acumen, identifying opportunities where data science can drive business value and growth.
 </li>
 </ul>
</div>

Manager | Engineering AI & Data | AI & Data | AI Architect

OmniOps

<div>
 OmniOps is a Riyadh-based technology solutions provider, serving organizations across Saudi Arabia and beyond. With offices in Jordan, Egypt, and Morocco, we specialize in empowering businesses to migrate and scale their AI technology infrastructure confidently, achieving a high level of maturity in their digital landscapes. Our comprehensive services and products guarantee seamless cloud migration, scalability, and management, ensuring optimal performance and consistent reliability for our valued partners.
 
 
 
 Role Description
 
 
 
 We are looking for a highly experienced Senior Solution Engineer to join our Riyadh team. In this role, you will serve as a trusted technical advisor, partnering with customers to design innovative AI-driven solutions that address complex business challenges. You will work closely with Sales, Product, Engineering, and executive stakeholders to lead technical engagements, shape solution strategies, and position OmniOps as a strategic AI transformation partner.
 
 
 The ideal candidate combines strong technical expertise with excellent customer-facing, consulting, and presentation skills, and has hands-on experience designing enterprise AI, cloud, and data solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Partner with Sales and Business teams to understand customer objectives, business challenges, and technical requirements throughout the sales lifecycle.
 </li>
 <li>
 Lead technical discovery sessions, workshops, and architecture discussions to identify customer needs and define solution success criteria.
 </li>
 <li>
 Design scalable, secure, and cloud-native AI solution architectures tailored to customer environments.
 </li>
 <li>
 Translate business requirements into AI-driven solutions leveraging Generative AI, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent agents, MLOps, data platforms, and cloud technologies.
 </li>
 <li>
 Deliver executive presentations, technical demonstrations, architecture reviews, and Proof of Concept (PoC) engagements.
 </li>
 <li>
 Prepare and lead technical responses for RFPs, RFIs, proposals, solution architectures, and technical documentation.
 </li>
 <li>
 Collaborate with Product Management, Data, and Engineering teams to ensure proposed solutions align with customer requirements and product capabilities.
 </li>
 <li>
 Lead customer workshops focused on AI strategy, enterprise architecture, data governance, intelligent automation, and digital transformation.
 </li>
 <li>
 Ensure a seamless transition from presales to delivery by validating solution architecture, implementation approach, technical scope, assumptions, and risks.
 </li>
 <li>
 Stay up to date with emerging AI technologies, cloud platforms, and industry trends to continuously strengthen OmniOps' solution portfolio.
 </li>
 <li>
 Mentor junior Solution Engineers and technical team members through coaching, technical reviews, and knowledge sharing.
 </li>
 <li>
 Represent OmniOps during executive customer meetings, partner engagements, conferences, and technical events.
 </li>
 <li>
 Contribute to presales methodologies, reusable solution assets, best practices, and technical playbooks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
 </li>
 <li>
 A Master's degree is considered an advantage.
 </li>
 <li>
 5+ years of experience in Solution Engineering, Presales, Solutions Architecture, Cloud Consulting, or Enterprise Software.
 </li>
 <li>
 Proven experience leading enterprise customer engagements from technical discovery through solution design and successful technical closure.
 </li>
 <li>
 Experience working with enterprise customers across cloud, AI, or digital transformation initiatives.
 </li>
 <li>
 Strong knowledge of Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, MLOps, and enterprise AI architectures.
 </li>
 <li>
 Hands-on experience developing or supporting Generative AI and Agentic AI applications.
 </li>
 <li>
 Experience with Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP), including cloud-native architectures and integration patterns.
 </li>
 <li>
 Solid understanding of APIs, enterprise integration, networking, identity and access management, security, containers, and modern data platforms.
 </li>
 <li>
 Experience designing enterprise-scale cloud and AI architectures.
 </li>
 <li>
 Experience delivering Proofs of Concept (PoCs), technical workshops, demonstrations, and executive presentations.
 
 
 </li>
 </ul>
 
 Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Excellent solution architecture and technical consulting skills.
 </li>
 <li>
 Strong customer engagement and stakeholder management capabilities.
 </li>
 <li>
 Consultative selling mindset with the ability to align technology solutions to business outcomes.
 </li>
 <li>
 Excellent communication, presentation, and documentation skills.
 </li>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Ability to manage multiple customer engagements in a fast-paced environment.
 </li>
 <li>
 Leadership and mentoring experience with junior technical team members.
 </li>
 <li>
 Collaborative mindset with the ability to work effectively across Sales, Product, Engineering, and Delivery teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 AI, cloud, or enterprise architecture certifications (Microsoft Azure, AWS, Google Cloud, Kubernetes, or equivalent).
 </li>
 <li>
 Experience working for AI, cloud, or enterprise software vendors, system integrators, or technology consulting firms.
 </li>
 <li>
 Knowledge of enterprise AI governance, responsible AI practices, and modern data architectures.
 </li>
 <li>
 Familiarity with digital transformation initiatives across enterprise and government sectors in the GCC.
 </li>
 </ul>
</div>

Senior Solution Engineer

Cognizant

Job Summary: 
We are seeking an experienced QA Tester with a strong background in Telecom projects to join our team. The ideal candidate will possess extensive experience in functional testing, API testing, ETL testing, database validation, and end-to-end testing. The role requires hands-on expertise in testing large-scale applications, validating complex data transformations, and ensuring high-quality deliverables across telecom platforms.
 
Key Responsibilities: 
Perform Functional, Integration, End-to-End (E2E), UAT, and BAT testing for telecom applications.
 Conduct API testing using Postman and validate service integrations across multiple systems.
 Execute ETL testing both manually and using ETL tools such as Informatica.
 Validate data extraction, transformation, and loading processes to ensure data accuracy and integrity.
 Develop and execute test scenarios for complex telecom business processes.
 Perform defect identification, logging, tracking, and retesting using defect management tools.
 Create and validate complex SQL queries for backend database testing and data reconciliation.
 Work with Oracle databases and perform field-level mapping validations.
 Apply business rules and logic to validate data movement and staging environments.
 Collaborate with business users and stakeholders during UAT/BAT phases.
 
Explore and implement AI-driven approaches in ETL testing to improve testing efficiency and quality.
 
Required Skills & Experience: 
Mandatory experience in Telecom domain projects.
 
Strong expertise in: 
Functional Testing
 API Testing (Postman)
 Integration Testing
 End-to-End Testing
 UAT/BAT Testing
 Defect Management
 Hands-on experience in ETL Testing, including tools such as Informatica.
 Knowledge of AI implementation in ETL Testing and test automation initiatives.
 Advanced SQL skills with experience writing and validating complex queries.
 Experience working with Oracle databases and data validation techniques.
 Strong understanding of database structures, data mappings, and staging environments.
 Excellent analytical, troubleshooting, and communication skills.
 
Preferred Qualifications: 
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
 Experience working in client-facing environments.
 
Familiarity with Agile/Scrum delivery methodologies.
 
Work Requirements: 
Willingness to work from the client office, Sunday through Thursday.
 Ability to collaborate effectively with cross-functional teams and stakeholders.

ETL Testing

Artefact

<div>
 
 
 Gemini Director (Agentic AI) &mdash; Artefact Middle East
 
 
 
 
 
 
 Artefact MENA is looking for a client-facing Gemini Director to lead the Gemini Enterprise &amp; Agentic AI offering.
 
 
 
 
 
 This is a hybrid role involving solution architecture, hands-on engineering, technical pre-sales and business development.
 
 
 
 
 
 You'll partner with Artefact leadership, Google Cloud, and senior client stakeholders to spot opportunities, shape solutions, build demos and PoCs, and scale them into production AI programmes.
 
 
 
 
 
 
 What you'll do as the Gemini Director (Agentic AI):
 
 
 <ul>
 <li>
 Identify and shape Gemini Enterprise and agentic AI opportunities across new and existing clients
 </li>
 <li>
 Lead technical discovery sessions, workshops, demos, pitches and PoCs
 </li>
 <li>
 Translate business challenges into AI use cases, solution architectures and implementation roadmaps
 </li>
 <li>
 Design enterprise-grade solutions using Gemini, Vertex AI, AI agents, RAG, tool use and enterprise integrations
 </li>
 <li>
 Build prototypes and production solutions using Python, APIs, SDKs and cloud-native tech
 </li>
 <li>
 Embed evaluation, security, governance, observability and human-approval controls
 </li>
 <li>
 Help clients adopt Gemini Enterprise and AI-assisted development across their engineering lifecycle. Partner closely with Google Cloud on joint accounts, propositions and reusable solutions
 </li>
 <li>
 Support proposals, technical estimations and commercial discussions
 </li>
 <li>
 Turn early PoCs into enterprise-scale AI transformation programmes
 </li>
 </ul>
 
 
 
 
 
 What you bring
 
 
 <ul>
 <li>
 Experience as a GenAI Architect, AI Solution Architect, Lead AI Engineer, Forward Deployed Engineer or AI Solutions Engineer
 </li>
 <li>
 Hands-on track record building enterprise applications with frontier LLMs
 </li>
 <li>
 Strong grasp of agentic AI, RAG, tool use, context engineering, evaluation and LLMOps
 </li>
 <li>
 Solid Python, API integration and cloud engineering skills
 </li>
 <li>
 Experience deploying AI solutions on Google Cloud, AWS or Azure
 </li>
 <li>
 Confidence engaging CIOs, CTOs, CDOs and senior business leaders
 </li>
 <li>
 Background in technical pre-sales, consulting, solution engineering or client-led business development
 </li>
 <li>
 Ability to carry an opportunity from first idea through architecture, prototype and production
 </li>
 <li>
 An entrepreneurial, commercially-minded approach to building a new offering
 </li>
 <li>
 Gemini/Google Cloud experience is a strong plus &mdash; but deep experience with other frontier-model platforms works too
 </li>
 </ul>
 
 
 
 
 
 Success in year one looks like:
 
 Becoming Artefact MENA's go-to technical and commercial leader for Gemini Enterprise and agentic AI &mdash; building a strong pipeline, leading flagship client engagements, and creating reusable Gemini and agentic AI propositions.
 
 
 
 
 
 📍 Middle East | Artefact Middle East
 
 
 
 
</div>

Gemini Director (Agentic AI)

HUMAIN

<div>
 
 
 About HUMAIN
 
 
 
 HUMAIN, a PIF company, is a global artificial intelligence company delivering full-stack AI capabilities across four core areas - next-generation data centers, hyper-performance infrastructure &amp; cloud platforms, advanced AI Models, including the world&rsquo;s most advanced Arabic LLMs built in the Arab world, and transformative AI Solutions that combine deep sector insight with real-world execution.
 
 
 HUMAIN&rsquo;s end-to-end model serves both public and private sector organizations, unlocking exponential value across all industries, driving transformation and strengthening capabilities through human-AI synergies. With a growing portfolio of sector-specific AI products and a core mission to drive IP leadership and talent supremacy world-wide, HUMAIN is engineered for global competitiveness and national distinction.
 
 
 
 
 
 
 Minimum Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Computer Science, Information Technology or a related discipline.
 </li>
 <li>
 12+ years of progressive experience in solution engineering, enterprise architecture, systems integration or technology delivery.
 </li>
 <li>
 6+ years of leadership experience managing multi-disciplinary technical teams within a complex enterprise environment.
 </li>
 <li>
 Demonstrated experience leading solution design and delivery for large-scale technology initiatives in the resources, energy or adjacent industrial sectors.
 </li>
 <li>
 Proven experience in budget management, strategic planning and senior stakeholder engagement.
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 <ul>
 <li>
 Master's degree in Engineering, Computer Science, Business Administration or a related field.
 </li>
 <li>
 Professional certification in enterprise architecture, cloud technologies, solution architecture or project/program management.
 </li>
 <li>
 Experience supporting pre-sales, bid management or commercially driven solution development activities.
 </li>
 </ul>
 
 
 
 
 
 Knowledge &amp; Skills:
 
 
 <ul>
 <li>
 Strong knowledge of solution engineering, enterprise architecture and systems integration methodologies.
 </li>
 <li>
 Ability to lead technical strategy execution across multiple teams and complex delivery portfolios.
 </li>
 <li>
 Strong commercial acumen with the ability to align technical solutions to business value and sector needs.
 </li>
 <li>
 Advanced stakeholder management, negotiation and executive communication skills.
 </li>
 <li>
 Knowledge of governance, risk management and quality assurance practices within technology delivery.
 </li>
 <li>
 Ability to assess emerging technologies and translate them into practical sector-relevant solution capabilities.
 </li>
 <li>
 Strong planning, budgeting and performance management capability.
 </li>
 <li>
 Leadership skills to build teams, develop capability and drive accountability across the function.
 </li>
 </ul>
 
 
 
</div>

Head of Solution Engineering (Resources & Energy)

Accenture

<div><h3 class="jobSectionHeader">Role Overview</h3>
As an AI Architecture Senior Manager, you will lead the strategy, design, and implementation of enterprise-scale AI platforms and architectures, enabling the adoption of advanced AI technologies including Generative AI, Large Language Models (LLMs), and multi-modal models. You will define the target-state AI architecture, drive technology decisions, and establish scalable, secure, and governed AI foundations that accelerate business innovation and enterprise-wide AI adoption.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define and evolve enterprise AI architecture strategies, frameworks, and reference architectures, including Generative AI, LLMs, and multi-modal AI solutions.</li><li>
Assess emerging AI technologies, platforms, and architectural patterns, providing leadership on technology selection and adoption.</li><li>
Develop and execute AI transformation roadmaps that establish enterprise AI foundations and long-term scalability.</li><li>
Design and operationalize end-to-end AI platforms supporting model development, deployment, monitoring, governance, and lifecycle management.</li><li>
Lead the integration of AI/ML technologies across data platforms, model ecosystems, MLOps, cloud infrastructure, security, and governance frameworks.</li><li>
Architect and build custom AI platform components to address complex business and technical requirements.</li><li>
Optimize compute infrastructure, model-serving environments, and distributed AI workloads for scalability, performance, reliability, and cost efficiency.</li><li>
Establish enterprise AI operational standards, including observability, monitoring, performance management, and platform resilience.</li><li>
Implement Responsible AI, security, privacy, risk management, and compliance controls across AI solutions and platforms.</li><li>
Partner with business and technology stakeholders to define AI governance models, architecture standards, and best practices.</li><li>
Provide technical leadership and mentorship to architecture, engineering, and data teams throughout AI initiatives.</li></ul></div>
 
<div><h2 class="jobSectionHeader">Job Qualifications</h2><h3 class="jobSectionHeader">
Basic Qualifications</h3><ul><li>
12+ years of experience in AI Architecture, Enterprise Architecture, Data Platforms, Cloud Architecture, or related technology leadership roles.</li><li>
Proven experience designing and implementing enterprise-scale AI/ML platforms and advanced AI solutions.</li><li>
Deep understanding of Generative AI, Large Language Models (LLMs), multi-modal models, and AI ecosystem technologies.</li><li>
Strong experience with cloud platforms such as Azure, AWS, or Google Cloud and their AI/ML services.</li><li>
Expertise in MLOps, AI platform engineering, model deployment, monitoring, and operationalization.</li><li>
Experience implementing AI security, governance, compliance, and Responsible AI frameworks.</li><li>
Strong architecture leadership experience with the ability to influence senior stakeholders and technology strategy.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience establishing Enterprise AI Foundations, AI Centers of Excellence (CoE), or AI Transformation programs.</li><li>
Knowledge of vector databases, Retrieval-Augmented Generation (RAG), AI agents, orchestration frameworks, and advanced AI architecture patterns.</li><li>
Experience with Kubernetes, containerization, distributed computing, and high-performance AI infrastructure.</li><li>
Expertise in AI observability, model performance optimization, platform reliability, and cost management.</li><li>
Strong consulting, stakeholder management, and executive communication skills.</li><li>
Relevant certifications in Cloud Architecture, Artificial Intelligence, Machine Learning, or Enterprise Architecture are preferred.</li></ul></div>

AI Architecture Senior Manager

Infinite pl

<div><div>Infinite pl is a digital-led tech firm driven to become a digital logistics pioneer by harnessing the power of people, data, and platforms. We are enabled through in-house, external, network, and investment capabilities that we utilize to orchestrate and build innovative platforms tackling complex problems within logistics and adjacent sectors.

Infinite pl&rsquo;s mission is nothing short of a logistics revolution! We're here to enrich the experiences of governments, businesses, and residents around the world through cutting-edge digital solutions.

We're not just players; we're game-changers.
</div>
<h3 class="jobSectionHeader">Job Summary:</h3><div>
We are seeking an experienced Commercial Squad Lead with 10+ years of experience to lead the F&amp;O, CRM, and Billing systems. The successful candidate will be responsible for leading a cross-functional squad, driving the delivery and continuous improvement of enterprise solutions, and ensuring alignment between business needs and technology solutions. The role requires strong leadership, stakeholder management, and expertise in Microsoft Dynamics 365 and Billing platforms.</div><h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>Lead and manage the Commercial (F&amp;O, CRM, and Billing) squad to ensure successful delivery of business and technology initiatives.</li><li>Own the commercial roadmap and prioritize initiatives in collaboration with business stakeholders.</li><li>Ensure high-quality delivery of enhancements, implementations, and production support.</li><li>Collaborate with business, architecture, infrastructure, and development teams to deliver scalable solutions.</li><li>Provide technical and functional leadership to the squad while promoting Agile best practices.</li><li>Manage squad capacity, work allocation, and performance to achieve delivery objectives.</li><li>Monitor risks, issues, dependencies, and ensure timely resolution.</li><li>Drive continuous improvement in processes, solution quality, and operational efficiency.</li><li>Build and maintain strong relationships with business stakeholders and vendors.</li><li>Ensure compliance with organizational governance, security, and quality standards.</li></ul><h3 class="jobSectionHeader">
Qualifications:</h3><ul><li>Bachelor's degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field.</li><li>10+ years of experience in enterprise applications, including Microsoft Dynamics 365 F&amp;O, CRM, and Billing solutions.</li><li>Experience leading cross-functional Agile squads or delivery teams.</li><li>Strong understanding of enterprise application architecture and system integration.</li><li>Experience working in Agile delivery environments.</li></ul><h3 class="jobSectionHeader"> 
Skills:</h3><ul><li>Leadership and team management.</li><li>Microsoft Dynamics 365 F&amp;O.</li><li>Microsoft Dynamics 365 CRM.</li><li>Billing systems and business processes.</li><li>Agile delivery and Scrum practices.</li><li>Stakeholder management.</li><li>Backlog prioritization and roadmap planning.</li><li>Problem-solving and decision-making.</li><li>Vendor and third-party coordination.</li><li>Excellent communication and collaboration skills.</li><li>Full professional proficiency in both Arabic and English (written and spoken).</li></ul><div>
Infinite pl ️ - where innovation meets logistics, and the journey is Infinitely boundless! 
Let's disrupt logistics together and explore infinite opportunities!</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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>

Commercial Lead

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