chief sales officer ( digital transformation ) enterprises level Jobs in Riyadh Saudi Arabia

chief sales officer ( digital transformation ) enterprises level

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digital associate account director

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specialist ,digital media

متخصص مبيعات رقمية ( digital sales specialist ) Jobs in Riyadh Saudi Arabia

متخصص مبيعات رقمية ( digital sales specialist )

ai digital solutions principle expert

Confidential Semi-Government

<div>
 
 
 Job Purpose
 
 
 
 The role holder is responsible for AI &amp; Digital Solutions including the design, development, deployment, and management of products and digital platforms (CBU, EBU, WBU). And ensure business demand fulfillment, and oversee system rollouts, technical support, risk management, operational standards, incident management, and digital transformation, drive reliability, oversee asset management, and support AI and analytics projects. The role holder shall carry out his duties in accordance with the stipulated business policies and procedures.
 
 
 
 
 
 Job Responsibility
 
 
 <ul>
 <li>
 Oversee the design, development, deployment and management of products (CBU, EBU, WBU) and digital platforms under the Sector
 </li>
 <li>
 Ensure fulfillment of business demand originated from Business Units at acceptable level in coordination with other Sectors, acting as central demand management function, except for Network roll out and expansion
 </li>
 <li>
 Participate in the development of organization strategy &amp; contribute to the process of management &amp; corporate decision making with Executive Team
 </li>
 <li>
 Direct and manage the Sector functions, providing leadership and facilitating work processes in order to achieve high performance standards
 </li>
 <li>
 Implement the transition plan for the new organization structure along with ensuring the selection of right people, technologies and implementation of new processes
 </li>
 <li>
 Champion and lead change in the Sector providing guidance and support, necessary for continuous improvement
 </li>
 <li>
 Ensure compliance with organizational policies, procedures and quality standards in the Sector
 </li>
 <li>
 Direct and guide the development of an effective and cost-efficient Sector strategy and roadmap to support the company Sectors
 </li>
 <li>
 Work collaboratively with the other Sectors to develop and maintain an integrated business and platforms strategy that clearly identifies timescales, effort &amp; costs
 </li>
 <li>
 Direct and facilitate the roll out of new systems and technologies required by the Sectors
 </li>
 <li>
 Ensure timely delivery of services and technical support in accordance with the overall business strategy of the organization
 </li>
 <li>
 Ensure acceptable technical environments and operational standards for systems under the responsibility of the Sector
 </li>
 <li>
 Manage sector risks and participate with the company Executive Management in the overall risk management for the organization
 </li>
 <li>
 Oversee the alignment of teams&rsquo; objectives with strategic goals and budget allocation during the QBR process
 </li>
 <li>
 Direct financial budgeting and investment planning for the Sector in line with established objectives and overall strategy of the organization
 </li>
 <li>
 Control budget allocation (CAPEX and OPEX) as per approved budget
 </li>
 <li>
 Ensure operational governance over subsidiary by managing Master SLA contracts, ensuring consistency and risk management
 </li>
 <li>
 Oversee E2E operation of WBU products, including incident, problem and quality management, bug fixing, upgrades and back-ups management, disaster recovery, administration
 </li>
 <li>
 Govern the digital transformation for AI &amp; Digital Solutions and products
 </li>
 <li>
 Plan, design, and implement business continuity and disaster recovery plans to meet risk management requirements
 </li>
 <li>
 Govern the performance (as per SOW of MSP contracts) of the various services and products across all Sectors including IOT2
 </li>
 <li>
 Direct the Sector Tribe Alliances to ensure compliance with all relevant quality management procedures and controls across various project and systems, to guarantee compliance and delivery of high quality products/service as per SLAs
 </li>
 <li>
 Direct implementation of continuous improvements in existing platforms to achieve higher productivity and efficiency for internal and external users
 </li>
 <li>
 Ensures all systems and processes related to operations are functioning seamlessly and are integrated with other related units, drives operational reliability in the system by introducing new tools and techniques.
 </li>
 <li>
 Oversee asset management process and ensure alignment with TS&amp;A, incl. roadmap development, deployment, maintenance, and disposal
 </li>
 <li>
 Oversee the demand and supply of data are met across the Company and based on priorities
 </li>
 <li>
 Ensure data access management, data quality assurance, and other data management functions are implemented according to data governance guidelines
 </li>
 <li>
 Ensure the technological features and functions are in place to deliver the insights needed for evolving business needs
 </li>
 <li>
 Oversee the definition of cross-sector and strategic analytics project, related to Top Management analysis requests
 </li>
 <li>
 Oversee cross-functional AI &amp; Analytics solutions development that support decision coordination among related BUs and FUs
 </li>
 <li>
 Collaborate with Business to identify and evaluate data monetization opportunities, leveraging the company insights generation capabilities to develop and market valuable products for third parties
 </li>
 <li>
 Additional mandates Crisis Management Team from decree #78:
 </li>
 <li>
 Evaluate emergency situations that are raised by the concerned units within the company framework and follow up on the implementation of preparedness plans for each case, and to direct the development of any necessary plans in case not existed
 </li>
 <li>
 Raise emergency and crisis situations when they occur to CEO to obtain his approval to declare the state of emergency, and notify the Risk Management Committee accordingly
 </li>
 <li>
 Follow up on the implementation of Emergency Plans and Crisis Management plans &ndash; Pre-determined- through the concerned teams, and to evaluate the situation continuously and reports directly to the CEO until normal operation is recovered and announce the end of the crisis as per approved organization framework
 </li>
 <li>
 Conduct usual/emergency meetings in the presence of the members whom selected by the team leader for each operational team based on the team leader&rsquo;s assessment of the situation
 </li>
 <li>
 Experience in AI development, data monetization, and partnership preferably within telecommunications or technology industry.
 </li>
 </ul>
 
 
 
 
 Years of Experience
 
 
 <ul>
 <li>
 A minimum of 8 years of relevant experience with at least 3 - 4 years of experience in a similar role.
 </li>
 </ul>
 
 
 
 
 Education
 
 
 
 Bachelor Degree in Information Technology or Computer Science
 
</div>

AI & Digital Solutions Principle Expert

Master Works

<div>
 
 Role Summary
 
 
 
 The Expert Data Scientist is responsible for developing advanced AI and machine learning models, performing complex data analysis, designing end-to-end AI solutions, and supporting technical teams in delivering data-driven initiatives. The role requires strong technical expertise, analytical depth, and the ability to translate data into impactful solutions.
 
 
 
 Key Responsibilities
 
 
 
 2. Solution Implementation
 
 
 
 
 3. Technical Project Support
 
 
 
 
 4. Documentation &amp; Reporting
 
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling
 </li>
 <li>
 Collect, clean, transform, and analyze data from different sources.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends and patterns.
 </li>
 <li>
 Design, develop, and validate machine learning and AI models.
 </li>
 <li>
 Select appropriate algorithms and techniques for each use case.
 </li>
 <li>
 Evaluate model performance using industry-standard metrics (Accuracy, Precision, Recall, F1, AUC).
 </li>
 <li>
 Optimize and fine-tune models to enhance performance.
 </li>
 <li>
 Deploy machine learning models into production environments.
 </li>
 <li>
 Collaborate with Data Engineers and MLOps engineers on pipelines and deployment workflows.
 </li>
 <li>
 Build scalable data pipelines for processing large datasets.
 </li>
 <li>
 Monitor and update deployed models to ensure continuous performance.
 </li>
 <li>
 Provide expert consultation on AI solutions and model design.
 </li>
 <li>
 Identify required data sources and support the data acquisition process.
 </li>
 <li>
 Participate in technical discussions with clients and internal teams.
 </li>
 <li>
 Support User Acceptance Testing (UAT) from a technical perspective.
 </li>
 <li>
 Document modeling processes, methodologies, and analytical results.
 </li>
 <li>
 Prepare technical reports and present findings clearly to technical and non-technical audiences.
 </li>
 <li>
 Maintain proper documentation for model design and deployment.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Language Requirement:
 
 Fluent Arabic (mandatory)
 
 
 
 Experience Level:
 
 5+ years in Data Science / AI / Machine Learning
 
 
 
 Sector:
 
 AI projects, digital transformation, advanced analytics
 
 
 
 Education:
 
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field
 
 
 
 Preferred Certifications:
 
 
 
 <ul>
 <li>
 Machine Learning / Deep Learning
 </li>
 <li>
 Data Science Certifications
 </li>
 <li>
 AI &amp; ML specializations
 
 
 </li>
 </ul>
 
 Required Skills &amp; Expertise
 
 
 
 <ul>
 <li>
 Deep knowledge of machine learning, deep learning, and data science methodologies.
 </li>
 <li>
 Strong proficiency in:
 </li>
 <ul>
 <li>
 Python (essential)
 </li>
 </ul>
 <li>
 Experience with ML and data libraries:
 </li>
 <ul>
 <li>
 TensorFlow or PyTorch
 </li>
 <li>
 Scikit-learn
 </li>
 <li>
 Pandas, NumPy
 </li>
 </ul>
 <li>
 Hands-on experience with visualization tools:
 </li>
 <ul>
 <li>
 Power BI, Tableau
 </li>
 </ul>
 <li>
 Understanding of MLOps concepts and data engineering fundamentals.
 </li>
 <li>
 Experience working with large datasets and implementing data mining techniques.
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <ul>
 <li>
 Previous experience in Saudi Arabia (public or private sector).
 </li>
 <li>
 Experience in AI projects involving vision, NLP, or sensor data.
 </li>
 <li>
 Familiarity with end-to-end AI development lifecycle
 </li>
 </ul>
</div>

Expert Data Scientist (Arabic Speaker) - Immediate Joining

MASTER-WORKS

<div><h3 class="jobSectionHeader">Role Summary</h3>
The Expert Data Scientist is responsible for developing advanced AI and machine learning models, performing complex data analysis, designing end-to-end AI solutions, and supporting technical teams in delivering data-driven initiatives. The role requires strong technical expertise, analytical depth, and the ability to translate data into impactful solutions.<h3 class="jobSectionHeader">
Key Responsibilities</h3><h3 class="jobSectionHeader">
1. Data Analysis &amp; Modeling</h3><ul>
<li>Collect, clean, transform, and analyze data from different sources.
</li><li>Perform exploratory data analysis (EDA) to identify trends and patterns.
</li><li>Design, develop, and validate machine learning and AI models.
</li><li>Select appropriate algorithms and techniques for each use case.
</li><li>Evaluate model performance using industry-standard metrics (Accuracy, Precision, Recall, F1, AUC).
</li><li>Optimize and fine-tune models to enhance performance.
</li></ul><h3 class="jobSectionHeader">2. Solution Implementation</h3><ul>
<li>Deploy machine learning models into production environments.
</li><li>Collaborate with Data Engineers and MLOps engineers on pipelines and deployment workflows.
</li><li>Build scalable data pipelines for processing large datasets.
</li><li>Monitor and update deployed models to ensure continuous performance.
</li></ul><h3 class="jobSectionHeader">3. Technical Project Support</h3><ul>
<li>Provide expert consultation on AI solutions and model design.
</li><li>Identify required data sources and support the data acquisition process.
</li><li>Participate in technical discussions with clients and internal teams.
</li><li>Support User Acceptance Testing (UAT) from a technical perspective.
</li></ul><h3 class="jobSectionHeader">4. Documentation &amp; Reporting</h3><ul>
<li>Document modeling processes, methodologies, and analytical results.
</li><li>Prepare technical reports and present findings clearly to technical and non-technical audiences.
</li><li>Maintain proper documentation for model design and deployment.
</li></ul>Requirements
Language Requirement: Fluent Arabic (mandatory) 
Experience Level: 5+ years in Data Science / AI / Machine Learning 
Sector: AI projects, digital transformation, advanced analytics 
Education: Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field 
Preferred Certifications:<ul>
<li>
Machine Learning / Deep Learning
</li><li>Data Science Certifications
</li><li>AI &amp; ML specializations
</li></ul>Required Skills &amp; Expertise<ul>
<li>
Deep knowledge of machine learning, deep learning, and data science methodologies.
</li><li>Strong proficiency in:
</li><li><ul><li>Python (essential)
</li></ul></li><li>Experience with ML and data libraries:
</li><li><ul><li>TensorFlow or PyTorch
</li><li>Scikit-learn
</li><li>Pandas, NumPy
</li></ul></li><li>Hands-on experience with visualization tools:
</li><li><ul><li>Power BI, Tableau
</li></ul></li><li>Understanding of MLOps concepts and data engineering fundamentals.
</li><li>Experience working with large datasets and implementing data mining techniques.
</li></ul><h3 class="jobSectionHeader">Preferred Experience</h3><ul>
<li>Previous experience in Saudi Arabia (public or private sector).
</li><li>Experience in AI projects involving vision, NLP, or sensor data.
</li><li>Familiarity with end-to-end AI development lifecycle.</li></ul></div>

Leading Edge

Job Description: Our client is looking for a Corporate Banking Digitization Expert for a 3-month project in Riyadh. The expert will lead the transformation of corporate banking products, including Cash Management, Treasury, Cards, Lending, and Trade Finance. The role focuses on setting priorities, benchmarking against global standards, and implementing best-in-class digital solutions to enhance customer experience and efficiency.Key Responsibilities:Strategy & Benchmarking:- Identify corporate banking products for digitization based on market trends and benchmarks.- Conduct gap analysis to align offerings with global best practices.- Leverage insights from leading banks and fintechs to drive innovation.Digital Roadmap & Execution:- Develop a customer-centric digitization roadmapfor corporate banking products.- Implement cutting-edge technologies such as APIs, AI/ML, and automation.- Provide recommendations for outsourcing vs. insourcing.- Work with product, technology, operations, and compliance teams for smooth execution.- Manage third-party vendors for digital initiatives.Measurement & Optimization:- Define KPIs to track success.- Continuously analyze and optimize digital banking solutions.Qualifications:<ul><li>Bachelors in Finance, Business, Economics, Banking, or Risk Management (Engineering/Logistics degrees with finance experience may be considered)</li><li>Masters (MBA, MSc Finance/Banking) preferred</li><li>Certifications: CFA, FRM, or CLFP are a plus</li></ul> Required Skills: Outsourcing Analysis Cards Gap Analysis Cash Management Treasury Customer Experience Optimization Banking Cash Automation Strategy Vendors Finance Management

Corporate Banking Digitization Expert (3-Month Project)

TELUS Digital

<div>
 
 Are you ready to use your domain knowledge to advance AI? Join us as a Data Partner and work remotely with flexible hours. We are seeking highly knowledgeable Subject Matter Expert to design advanced, domain-specific questions and solutions. The role involves creating challenging problem sets that test deep reasoning and expertise in the assigned field.
 
 
 
 
 
 
 TELUS Digital AI Community
 
 
 
 Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world&rsquo;s largest brands.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop complex, original question-and-answer pairs based on advanced topics in your area of expertise.
 </li>
 <li>
 Ensure questions involve multi-step problem-solving and critical thinking.
 </li>
 <li>
 Provide detailed, clear solutions that meet high academic standards.
 </li>
 <li>
 Collaborate with cross-functional teams to refine and enhance content.
 </li>
 </ul>
 
 
 
 
 Qualification path
 
 
 
 
 
 
 Basic Requirements:
 
 
 <ul>
 <li>
 A
 
 completed Master, Bachelor or local equivalent in Computer Science is essential
 
 </li>
 <li>
 
 Strong proficiency in Arabic writing with excellent grammar
 
 , clarity, and the ability to explain complex concepts concisely
 </li>
 </ul>
 
 
 
 
 
 Assessment:
 
 
 
 In order to be hired into our community, you&rsquo;ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.
 
 
 
 
 
 APPLY HERE
 
</div>

Data Partner - Computer Science - Arabic - Remote - Global

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Data Scientist

Infosys

<div>Role &ndash; Engagement Manager 
Technology &ndash; Sales and Client Relationship Management (Farming) - Oil and Gas/ Services/ Government sector 
Location &ndash; Riyadh, Saudi Arabia 
Compensation &ndash; Competitive (including bonus) 
 
What will you do?<ul><li>
As an EM you are an expert at contributing to different phases of the Sales lifecycle and will be intensely involved in Client Relationship Management and business development (Farming) for our customer Oil and Gas/ Services/ Government sector</li><li>
Client relationship management &ndash; managing relationships with key client personnel and CXOs and CXO -1, within client organization and ability to understand the organizational culture of the client</li><li>
Selling concepts to the client and influencing the client to award business based on capability and track record in similar situations</li><li>
Conduct research as well as competitor analysis to define strategies that can help enable favourable outcomes</li><li>
Review sales plan, pursuit plan / business pipeline with leadership to ensure target achievement</li><li>
Expert knowledge of MSA / Other contract process &amp; standards and understand the nuances of MSAs and interdependencies to other business aspects</li><li>
Conduct client presentations, workshops, and drive pricing and MSA negotiations with the client</li><li>
Provide necessary input for building alliances with relevant product / service vendors</li><li>
Ensure hygiene is maintained on account operations</li><li>
Create proposals and solutions in line with requirements in the RFPs shared by the clients</li><li>
Proactively take Infosys offerings to the prospects in the industry</li><li>
Collaboratively work with delivery organization on staffing, handling any delivery related issues to prevent escalations</li></ul> 

Qualifications:<ul><li>
Track-record of successfully farming business solutions and client management in customer engagements</li><li>
Strong Business Development (Framing current accounts) / Relationship management / Account management is required</li><li>
Strong Account Management experience where you have grown existing accounts.</li><li>
Track record of interacting and building relationship with C / C-1 level client contacts.</li><li>
Reasonable understanding of Global Delivery Model and IT service industry.</li><li>
Experience managing large multi-location consulting engagement teams&rsquo; desirable.</li><li>
Hands-on experience with proposal creation and leading proposal presentations.</li><li>
Strong leadership, interpersonal, communication and presentation skills.</li><li>
Wide variety of IT and business consulting engagement experience.</li><li>
Extensive experience working with PIF and government leadership</li></ul>
Personal 
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:<ul><li>
High analytical skills</li><li>
A high degree of initiative and flexibility</li><li>
High customer orientation</li><li>
High quality awareness</li><li>
Excellent verbal and written communication skills</li></ul> 

Why Infosys 
 
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. 
 
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. 
To learn more about Infosys and see our ideas in action please visit us at www.Infosys.com 
&ldquo;All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.&rdquo;</div>

IT Sales Engagement Manager - Energy , Oil and Gas Domain - Saudi Arabia

Explore 1425+ Ai digital solutions principle expert in Riyadh Saudi Arabia this December. Find roles across top companies and apply now to boost your career.

1425 ai digital solutions principle expert jobs IN Riyadh Saudi Arabia

AI & Digital Solutions Principle Expert

Expert Data Scientist (Arabic Speaker) - Immediate Joining

Expert Data Scientist (Arabic Speaker) - Immediate Joining

Corporate Banking Digitization Expert (3-Month Project)

Data Partner - Computer Science - Arabic - Remote - Global

Data Scientist

IT Sales Engagement Manager - Energy , Oil and Gas Domain - Saudi Arabia