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manager - data modeling cdup2086 Jobs in Riyadh

manager - data modeling cdup2086

ai data delivery expert

EJADA

<div>
 
 
 Job Purpose:
 
 
 
 
 
 
 We are looking for an experienced
 
 AI &amp; Data Delivery Expert
 
 to lead the successful delivery of AI and Data initiatives from planning through execution and closure. The role is responsible for managing multiple projects, leading cross-functional teams, and ensuring solutions are delivered on time, within budget, and aligned with business objectives while maintaining the highest standards of quality and client satisfaction.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 Lead the end-to-end delivery of AI &amp; Data projects, managing scope, schedule, budget, quality, and risks.
 </li>
 <li>
 Develop and maintain project plans, delivery roadmaps, resource plans, and execution strategies using Agile, Waterfall, or hybrid methodologies.
 </li>
 <li>
 Serve as the primary point of contact for clients and business stakeholders throughout the project lifecycle.
 </li>
 <li>
 Lead multidisciplinary teams including Data Scientists, Data Engineers, ML Engineers, BI Developers, and Business Analysts.
 </li>
 <li>
 Proactively manage project risks, dependencies, and issues while driving timely resolution.
 </li>
 <li>
 Ensure all project deliverables meet quality standards, business requirements, and acceptance criteria.
 </li>
 <li>
 Monitor project financials, resource utilization, forecasting, and delivery performance.
 </li>
 <li>
 Drive stakeholder engagement, change management, user adoption, and knowledge transfer activities.
 </li>
 <li>
 Contribute to the continuous improvement of delivery frameworks, governance, and project management best practices.
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Minimum Experience:
 
 
 
 
 
 <ul>
 <li>
 +7 years of experience in technology project or program delivery.
 </li>
 <li>
 Experience in leading AI, Data Analytics, Data Engineering, or Digital Transformation projects.
 </li>
 </ul>
 
 
 
 
 
 Job-Specific Skills:
 
 
 
 
 
 <ul>
 <li>
 AI &amp; Data Project Delivery
 </li>
 <li>
 Project &amp; Program Management (Agile, Scrum, Waterfall, Hybrid)
 </li>
 <li>
 Stakeholder &amp; Client Management
 </li>
 <li>
 Cross-Functional Team Leadership
 </li>
 <li>
 Risk, Issue &amp; Dependency Management
 </li>
 <li>
 Budget &amp; Financial Management
 </li>
 <li>
 Quality Assurance &amp; Delivery Governance
 </li>
 <li>
 Change Management &amp; User Adoption
 </li>
 <li>
 Project Management Tools (JIRA, Azure DevOps, MS Project, Smartsheet)
 </li>
 </ul>
 
 
 
</div>

AI & Data Delivery Expert

Noventiq GCC

<div>
 
 Job Description
 
 
 
 Noventiq is expanding its team &amp; is on the lookout for goal-oriented, self-driven &amp; motivated individuals, to support the next phase of company&rsquo;s growth strategy.
 
 
 Industry: IT/Cloud Services
 
 
 Location: Riyadh, KSA
 
 
 Job Title &ndash; Senior Solutions Architect
 
 
 
 Role Overview
 
 
 
 We are looking for a
 
 Senior Solutions Architect &ndash; Data &amp; AI
 
 who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.
 
 
 This role requires a
 
 self-driven, client-facing architect
 
 who is comfortable owning the entire solution lifecycle&mdash;from discovery to proposal&mdash;while specializing in
 
 modern data platforms, analytics, and AI/ML solutions on Azure
 
 .
 
 
 
 Fluency in Arabic is mandatory
 
 , as the role will involve direct engagement with Middle East customers.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Client Engagement &amp; Solution Ownership
 </li>
 <li>
 Act as the primary solutions architect in customer discussions&mdash;owning conversations end-to-end without dependency.
 </li>
 <li>
 Lead CXO-level and technical workshops, translating business challenges into scalable Data &amp; AI solutions.
 </li>
 <li>
 Independently drive solution discovery, architecture definition, and proposal creation.
 </li>
 <li>
 Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.
 </li>
 <li>
 Data, AI &amp; Application Architecture
 </li>
 <li>
 Design and architect end-to-end enterprise solutions, including:
 </li>
 <ul>
 <li>
 Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)
 </li>
 <li>
 AI/ML solutions (predictive analytics, NLP, GenAI, copilots)
 </li>
 <li>
 Application architectures (microservices, APIs, event-driven systems)
 </li>
 </ul>
 <li>
 Integrate data platforms with enterprise applications (CRM, ERP, custom apps).
 </li>
 <li>
 Define data strategies, API strategies, and application integration models.
 </li>
 <li>
 Ensure solutions are scalable, secure, high-performing, and cost-optimize
 </li>
 <li>
 Pre-Sales Leadership
 </li>
 <li>
 Lead the technical component of bids, proposals, and RFP responses.
 </li>
 <li>
 Develop high-quality solution artifacts:
 </li>
 <ul>
 <li>
 Architecture diagrams
 </li>
 <li>
 Cost models &amp; TCO optimization
 </li>
 <li>
 Implementation roadmaps
 </li>
 <li>
 Value propositions aligned to business outcomes
 </li>
 </ul>
 <li>
 Participate in solution demos, PoCs, and design validations.
 </li>
 <li>
 Business &amp; Strategic Alignment
 </li>
 <li>
 Translate customer business goals into measurable data and AI outcomes.
 </li>
 <li>
 Identify opportunities for:
 </li>
 <ul>
 <li>
 Data modernization
 </li>
 <li>
 AI adoption and innovation
 </li>
 <li>
 Upsell/cross-sell within existing accounts
 </li>
 </ul>
 <li>
 Balance technical excellence with commercial viability.
 </li>
 <li>
 Collaboration &amp; Delivery Alignment
 </li>
 <li>
 Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.
 </li>
 <li>
 Provide architectural oversight during initial delivery phases where needed.
 </li>
 <li>
 Mentor junior architects and engineers on Data &amp; AI, and application architecture
 
 </li>
 </ul>
 
 Required Skills &amp; Expertise
 
 
 
 
 Technical &ndash; Data &amp; AI
 
 
 
 <ul>
 <li>
 Strong expertise in Azure Data &amp; AI ecosystem, including:
 </li>
 <ul>
 <li>
 Azure Data Factory / Synapse / Microsoft Fabric
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure Machine Learning &amp; AI Services (incl. OpenAI)
 </li>
 </ul>
 <li>
 Deep understanding of:
 </li>
 <ul>
 <li>
 Data architecture patterns (Lakehouse, data mesh, etc.)
 </li>
 <li>
 Data governance, security, and compliance
 </li>
 <li>
 AI/ML lifecycle and MLOps
 </li>
 </ul>
 <li>
 Experience in Azure-native and hybrid architectures.
 
 </li>
 </ul>
 
 Technical &ndash; Application &amp; Integration
 
 
 
 <ul>
 <li>
 Strong experience in application architecture, including:
 </li>
 <ul>
 <li>
 Microservices and distributed systems architecture
 </li>
 <li>
 API design and management (REST, GraphQL, API gateways)
 </li>
 <li>
 Event-driven architectures (Kafka, messaging systems)
 </li>
 </ul>
 <li>
 Experience with application modernization:
 </li>
 <ul>
 <li>
 Monolith to microservices transformation
 </li>
 <li>
 Containerization and orchestration (Docker, Kubernetes)
 </li>
 </ul>
 <li>
 Familiarity with integration patterns:
 </li>
 <ul>
 <li>
 Data + application integration (ETL + APIs)
 </li>
 <li>
 Middleware and enterprise integration platforms
 </li>
 </ul>
 <li>
 Understanding of frontend/backend separation and digital application stacks
 
 </li>
 </ul>
 
 Professional
 
 
 
 <ul>
 <li>
 Proven track record of independently handling pre-sales engagements and closing complex deals.
 </li>
 <li>
 Strong ability to articulate business value, not just technical solutions.
 </li>
 <li>
 Experience working with Middle East clients is highly preferred.
 
 
 </li>
 </ul>
 
 Language
 
 
 
 <ul>
 <li>
 Fluency in Arabic (spoken and written) &ndash; mandatory
 </li>
 <li>
 Strong English communication skills
 
 
 </li>
 </ul>
 
 Experience &amp; Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in technology consulting / architecture
 </li>
 <li>
 4+ years in Data &amp; AI solutions architecture
 </li>
 <li>
 Strong pre-sales or consulting background with customer-facing roles
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field
 
 
 </li>
 </ul>
 
 Certifications (preferred But Not Required)
 
 
 
 <ul>
 <li>
 Microsoft Certified: Azure Solutions Architect Expert
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 <li>
 Microsoft Certified: Designing Azure Solutions
 
 
 </li>
 </ul>
 
 Key Traits for Success
 
 
 
 <ul>
 <li>
 Self-starter with the ability to operate independently in high-stakes environments
 </li>
 <li>
 Strong storytelling and executive communication skills
 </li>
 <li>
 Commercially aware with a solution-selling mindset
 </li>
 <li>
 Passion for Data, AI, and emerging technologies
 
 
 
 
 </li>
 </ul>
 Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia
</div>

Senior Solutions Architect - Data & AI

Qiddiya | القدية

<div>
 The senior Expert for Data Modeling will be responsible for the deign and implementation of data models incorporating all information centralized BU the CDU team.
 
 
 This currently includes:
 
 
 <ul>
 <li>
 Cost data from Prism
 </li>
 <li>
 Time data from Primavera P6
 </li>
 <li>
 Risk data from Arm
 </li>
 <li>
 Metadata from Aconex related to documents and report content
 </li>
 <li>
 Various spreadsheets and databases implemented by Qiddiya
 
 
 </li>
 </ul>
 The Data Modeling expert will take the existing model developed in PowerBI and enhance it's capabilities, accessibility and scope of analysis to men the needs of the Qiddiya development division
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Enhance the existing data model strategy that covers all development analysis and reporting requirements
 </li>
 <li>
 Ensure clear requirements are provided to data owners so they understand how their data is tagged so it can be incorporated into models
 </li>
 <li>
 Manage the data modeling team, consisting of AI modeling expert, LLM modeling expert and a database technician and assign them tasks that achieve the desired outcome
 </li>
 <li>
 Advise the Data Modeling and Performance &amp; Analytics Director of best practice and possible enhancement to solutions
 </li>
 <li>
 Work with the Data Office to ensure all data and reports are properly governed
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 Systems development
 
 
 
 <ul>
 <li>
 Implementation of software solutions into established working environments
 </li>
 <li>
 Experienced with the integration of existing software packages
 </li>
 <li>
 Development of workflow and automated process to enhance data capturing routines
 
 
 </li>
 </ul>
 
 Intra- Organization Stakeholder Experience
 
 
 
 <ul>
 <li>
 Effectively liaise with individuals with a variety of experience and authority levels
 </li>
 <li>
 Understand technical solutions and communicate how they solve problems
 
 
 </li>
 </ul>
 
 Team support and development
 
 
 
 <ul>
 <li>
 Assessment of individual and team performance to optimize efficiency
 </li>
 <li>
 Support to individuals with a variety of technical experience to encourage growth and development
 
 
 </li>
 </ul>
 
 Effective delivery within large organizational structures:
 
 
 
 <ul>
 <li>
 Work within the established organizational structure to effectively deliver defined outcomes
 </li>
 <li>
 Help manage messaging within Qiddiya to ensure Implementation is providing a trusted service
 
 
 </li>
 </ul>
 
 Team collaboration:
 
 
 
 <ul>
 <li>
 Work effectively as a team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress
 </li>
 <li>
 Communicate and collaborate with other team members, adjacent teams, and external partners, such as consultants
 
 
 </li>
 </ul>
 
 Degree educated in information services and/or data analytics
 
 
 
 
 Established experience of working as part of an owner's team on solutions for large and complex organizations
 
 
 
 
 Preferred Backgrounds
 
 
 
 <ul>
 <li>
 Excellent communication, presentation, and interpersonal skills
 </li>
 <li>
 Fluency in using Microsoft Office
 </li>
 <li>
 Have high ability to work individually and collaboratively with others
 </li>
 <li>
 Have high ability to work effectively under pressure and meet established goals and objectives within the specified deadline
 </li>
 <li>
 Highly motivated and a strong drive to learn including independent learning
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Exposure to all aspects of the development business
 </li>
 <li>
 Opportunity to shape large datasets and implement innovative analytical solutions
 </li>
 <li>
 Opportunity to help develop a team with strong core technical skills
 </li>
 <li>
 Long term appointment
 </li>
 </ul>
</div>

Manager - Data Modeling CDUP2086

Buro Happold

<div>
 
 Want to build the AI solutions that make smart cities truly intelligent? Your expertise might just make you our new AI &amp; Data Science Expert
 
 
 
 
 Here at Buro Happold, expect the exceptional.
 
 
 
 From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world . From our reputation to our relationships. Wherever your Buro Happold career takes you, it&rsquo;ll be anything but ordinary.
 
 
 
 Your next role
 
 
 
 Buro Happold has a clear strategic plan, strong learning culture and entrepreneurial mindset that will allow you to thrive.
 
 
 You&rsquo;ll be part of something bigger than us all where sustainability, equity, social and performance outcomes matter. All of Buro Happold is committed to doing the right thing, even when that&rsquo;s the hardest thing. This is a genuine opportunity to make impact - and leave real legacy.
 
 
 
 Your key duties
 
 
 
 We are seeking an experienced AI &amp; Data Science Expert to design, build, and deploy advanced analytics and machine learning solutions that generate measurable value for the business. The role focuses on end to end ownership of use cases: from problem framing and data exploration, through model development and validation, to deployment, monitoring, and continuous improvement. The AI &amp; Data Science Expert will work closely with business stakeholders, product teams, and technology functions to translate complex data into actionable insights and scalable AI products.
 
 
 As a Senior Consultant specializing in AI and Data Science, you will take a leading role in designing, developing, and implementing advanced data-driven solutions. Your responsibilities will include:
 
 
 <ul>
 <li>
 Engage with stakeholders to understand business challenges and translate them into well defined AI and data science use cases.
 </li>
 <li>
 Collect, clean, and engineer data from multiple sources (structured and unstructured) to create robust feature sets for modelling.
 </li>
 <li>
 Develop, validate, and optimize machine learning and statistical models (e.g., classification, regression, forecasting, clustering, recommendation).
 </li>
 <li>
 Build and maintain production grade pipelines for model training, deployment, and monitoring in collaboration with data engineering and IT teams.
 </li>
 <li>
 Design and implement experiments, A/B tests, and performance evaluation frameworks to quantify model impact.
 </li>
 <li>
 Communicate findings and recommendations clearly through dashboards, visualisations, and presentations tailored to technical and non technical audiences.
 </li>
 <li>
 Contribute to the development of AI standards, best practices, and reusable components (feature stores, model templates, evaluation frameworks).
 </li>
 <li>
 Stay current with advances in AI/ML, data science tools, and MLOps practices, and assess their relevance for the organisation.
 
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Minimum 5 years of hands on experience in data science / machine learning roles, delivering production ready solutions.
 </li>
 <li>
 Solid experience with supervised and unsupervised learning techniques, model evaluation, feature engineering, and hyperparameter tuning.
 </li>
 <li>
 Practical experience working with SQL and relational databases; familiarity with big data or cloud data platforms is an advantage.
 </li>
 <li>
 Experience building end to end workflows from data ingestion to model deployment, ideally with exposure to MLOps tools and practices.
 </li>
 <li>
 Strong analytical and problem solving skills, with the ability to structure ambiguous problems and work with imperfect data.
 </li>
 <li>
 Proven ability to explain complex concepts clearly to non technical stakeholders and to influence data driven decisions.
 
 
 
 </li>
 </ul>
 
 Academic Qualifications
 
 
 
 The role is suitable for candidates with a strong digital and design background. We would welcome applications from those with degrees in:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science
 </li>
 <li>
 Data Science
 </li>
 <li>
 Statistics, Mathematics
 </li>
 <li>
 Engineering
 </li>
 <li>
 or a related quantitative discipline (or equivalent relevant experience).
 
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Highly organised, detail oriented, and rigorous in approach to data and schedule integrity.
 </li>
 <li>
 Proactive and solution driven , with a strong sense of ownership for deadlines and deliverables.
 </li>
 <li>
 Collaborative team player, comfortable working with multidisciplinary and multicultural teams.
 </li>
 <li>
 Able to work under pressure, manage multiple priorities, and adapt to evolving project needs
 
 
 
 </li>
 </ul>
 
 What We Offer You
 
 
 
 <ul>
 <li>
 Bring your knowledge and expertise to one of the world&rsquo;s most respected consultancies.
 </li>
 <li>
 Hybrid working arrangements
 </li>
 <li>
 Attractive salary and benefits package
 </li>
 <li>
 A strong commitment to your continuous development. Whatever stage in your career, we have a learning and development programme that will enable and empower you
 </li>
 <li>
 Entitlement to two memberships to professional bodies or subscriptions
 </li>
 <li>
 An international culture that wherever your career takes you at Buro Happold, you won&rsquo;t be far from the exceptional.
 
 
 
 </li>
 </ul>
 
 At Buro Happold, everyone else&rsquo;s extraordinary is just our everyday. Apply today and be a part of our legacy.
 
 
 
 
 A place for everyone
 
 
 
 Buro Happold values individual's flexible approaches to working patterns as an important part of the way you work and achieve balance . We welcome applications from those who are seeking flexibility in their careers.
 
 
 Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds and experiences that shape us. Appreciating each other&rsquo;s differences is key, we want employees to feel they don&rsquo;t have to mask elements of their identity to thrive .
 
 
 We are working to change the lack of representation of marginalised groups in the built environment and are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing difference allows us to develop the most innovative and elegant solutions.
 
 
 Please let us know if there are any adjustments, we could make to the application process to make it easier and more comfortable for you. Contact recruitment@burohappold.com so we can work with you to support you throughout your application.
 
 
</div>

Senior Consultant - AI & Data Science

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
The Senior Builder Experience
<ul><li>Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
</li><li>AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
</li><li>Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
</li><li>Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</li><li>Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
</li><li>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</li><li>Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</li><li>Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
</li><li>Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
</li><li>Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
</li><li>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</li><li>Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
</li><li>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Senior Forward Deployed Engineer If&hellip;
<ul><li>You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
</li><li>You have a degree in Computer Science or a related field
</li><li>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</li><li>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</li><li>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</li><li>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</li><li>You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when &quot;fast&quot; is the wrong call.
</li><li>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</li><li>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>You're excited to travel ~25% of the time, embedded with customer engineers.
</li><li>Business level proficiency in Arabic and English
</li><li>Computer Science (CS) degree or related.
</li></ul>Nice-to-Haves
<ul><li>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</li><li>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</li><li>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</li><li>Track record of influencing enterprise software product roadmaps through field engineering insight
</li><li>Open-source contributions, published technical writing, or conference presentations
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Forward Deployed Engineer, Arabic Speaking

MASTER-WORKS

<div>Master Works is seeking a Data &amp; AI, Head an experienced leader to drive and oversee strategic Data &amp; AI initiatives within government, banking, or enterprise environments. The successful candidate will lead cross-functional teams, manage the delivery of Data &amp; AI programs, and drive digital transformation initiatives aligned with business objectives. The role requires strong leadership, strategic thinking, and expertise in data management, artificial intelligence, and enterprise transformation.
Key Responsibilities:<ul><li>
Lead and manage Data &amp; AI projects and delivery operations.</li><li>
Oversee project planning, execution, governance, risks, timelines, and reporting.</li><li>
Manage multidisciplinary teams including Data Engineers, Data Scientists, Analysts, and Project Managers.</li><li>
Ensure successful delivery of projects within scope, budget, and quality standards.</li><li>
Collaborate with executive stakeholders and business leaders to align delivery with strategic goals.</li><li>
Drive Agile methodologies and modern project delivery practices.</li><li>
Manage vendors, partners, and external stakeholders.</li><li>
Support enterprise digital transformation and data-driven initiatives.</li></ul> 
 
 
Requirements 
<ul><li>
Saudi National.</li><li>
Eligible to work in Saudi Arabia.</li><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.</li><li>
8+ years of experience in Project Management, Data Delivery, AI Programs, or Digital Transformation.</li><li>
Previous experience within Banking, Government, or Large Enterprise environments is highly preferred.</li><li>
Experience managing ministry or government leaders as stakeholders.</li><li>
Experience with risk and vendor management.</li><li>
Proven knowledge of Agile frameworks and enterprise project delivery.</li><li>
Professional proficiency in Arabic and excellent proficiency in English.</li></ul>
Certifications:<ul><li>
PMP</li><li>
PMI-ACP</li><li>
Scrum Master</li><li>
SAFe Agile</li><li>
ITIL</li></ul>
Job Location: Client Site 
 
 
Benefits</div>

Data & AI Delivery, Head

Sulava MEA

<div>
 We are looking for a
 
 Deployment Engineer &amp; Architect
 
 to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for our Customers.
 
 
 This role is a combination of
 
 hands-on engineering and architecture leadership
 
 , focusing on building scalable, secure, and high-impact AI solutions. You will play a key role in our
 
 Agent Factory (FFL)
 
 model&mdash;delivering production-ready AI agents that transform business processes.
 
 
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure
 </li>
 <li>
 Build and deploy agents using Copilot Studio and integrate with enterprise systems
 </li>
 <li>
 Develop custom plugins, connectors, and workflows to extend agent capabilities
 </li>
 <li>
 Lead technical design for Agent Factory (FFL) delivery and scaling models
 </li>
 <li>
 Work with customer teams to translate business use cases into technical solutions
 </li>
 <li>
 Implement RAG pipelines, integrations, and data orchestration for agent intelligence
 </li>
 <li>
 Set up and optimize Azure AI environments, landing zones, and deployment pipelines
 </li>
 <li>
 Ensure security, governance, and compliance in all solutions
 </li>
 <li>
 Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
 </li>
 <li>
 Support testing, optimization, and continuous improvement of agent solutions
 
 
 </li>
 </ul>
 
 
 What You Bring
 
 
 
 
 
 
 Core Engineering &amp; Architecture Skills
 
 
 
 
 <ul>
 <li>
 Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
 </li>
 <li>
 Experience designing scalable cloud-native architectures
 </li>
 <li>
 Ability to lead technical design and architecture decisions
 
 
 </li>
 </ul>
 
 
 AI &amp; Agent Development
 
 
 
 
 <ul>
 <li>
 Hands-on experience with Copilot Studio and agent development
 </li>
 <li>
 Experience building AI solutions using Azure AI / Azure AI Foundry
 </li>
 <li>
 Understanding of multi-agent patterns, orchestration, and automation
 </li>
 <li>
 Experience integrating APIs, data sources, and enterprise systems
 
 
 </li>
 </ul>
 👉 Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [
 
 
 
 
 Data &amp; Integration
 
 
 
 
 <ul>
 <li>
 Experience with RAG (Retrieval-Augmented Generation) architectures
 </li>
 <li>
 Knowledge of Azure AI Search, data pipelines, and indexing approaches
 </li>
 <li>
 Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources
 
 
 </li>
 </ul>
 
 
 Security &amp; Governance
 
 
 
 
 <ul>
 <li>
 Understanding of enterprise security, identity (Entra ID), and data protection
 </li>
 <li>
 Experience implementing AI governance, compliance, and data security controls
 
 
 </li>
 </ul>
 👉 AI solutions are expected to include governance, identity, and security layers alongside agent orchestration and data acces
 
 
 
 
 What Makes You Successful
 
 
 
 
 <ul>
 <li>
 You can move from architecture to hands-on delivery seamlessly
 </li>
 <li>
 You build solutions that are production-ready, secure, and scalable
 </li>
 <li>
 You understand both technical design and real business impact
 </li>
 <li>
 You are comfortable working in fast-evolving AI environments
 </li>
 <li>
 You take ownership and drive technical outcomes end-to-end
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with Power Platform (Power Automate, Dataverse)
 </li>
 <li>
 Familiarity with Copilot extensibility and plugin models
 </li>
 <li>
 Experience with DevOps / CI-CD pipelines for AI solutions
 </li>
 <li>
 Knowledge of KSA regulatory and data residency requirements
 </li>
 <li>
 Arabic language skills
 </li>
 </ul>
</div>

Deployment Engineer & Architect

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