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industrial data ai technical lead

Capgemini Engineering

<div><div><div><div>Key Responsibilities</div></div><div><p>
Define and lead the <b>AI strategy</b>, ensuring alignment with Capgemini&rsquo;s global vision and client priorities.</p><p>
Architect and oversee the design, training, and deployment of advanced AI/ML models across multiple domains (Industrial AI, NLP, Computer Vision, Generative AI, Predictive Analytics).</p><p>
Work with <b>cross-functional engineering, data, and product teams</b> to embed AI into digital engineering solutions, platforms, and services.</p><p>
Engage directly with clients, translating business challenges into AI-driven solutions that deliver tangible outcomes.</p><p>
Lead a team of AI engineers, data scientists, and researchers; mentor talent and foster a culture of experimentation, innovation, and delivery excellence.</p><p>
Ensure <b>ethical AI practices</b>, data governance, and compliance with relevant standards and regulations.</p><p>
Stay ahead of AI trends, emerging technologies, and research advancements to shape Capgemini&rsquo;s offerings and thought leadership.</p></div></div><div><div><div>
Your Profile</div></div><div><p>
10+ years of experience in data science / AI / machine learning, with at least 3&ndash;5 years in a leadership or architect role.</p><p>
Proven track record of designing and deploying <b>AI solutions at scale</b> (industrial, enterprise, or consumer).</p><p>
Strong knowledge of AI/ML techniques (deep learning, reinforcement learning, generative AI, NLP, computer vision, anomaly detection, time-series forecasting).</p><p>
Experience with leading AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud AI platforms (AWS, Azure, GCP).</p><p>
Ability to engage with <b>business stakeholders and C-level executives</b> in a consultative, value-focused manner.</p><p>
Strong leadership and mentoring skills, with experience managing technical teams.</p><p>
Degree in Computer Science, Data Science, Engineering, or related field; advanced degree (MSc/PhD) a plus.</p></div></div><div><div><div>
What You&rsquo;ll Love About Working Here</div></div><div><p>
Shape the <b>AI strategy of global industry leaders</b>, delivering impact at scale.</p><p>
Be part of a <b>world-class engineering organization</b>, working on some of the most challenging AI problems in energy, manufacturing, automotive, life sciences, and beyond.</p><p>
Access to global <b>AI research and innovation networks</b>, with opportunities for continuous learning and certifications.</p><p>
A supportive, diverse, and inclusive culture where innovation thrives</p></div></div></div>
<br><div><div><div><div>Ref. code</div><div>
332572-en_US</div></div><div><div>
Posted on</div><div>
27 Nov 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div><p></p>

Industrial Data & AI Technical Lead

Mindsets

<div><p><b>Location: </b>KSA (with travel across GCC)</p><p></p><p><b><br>
About Mindsets</b></p>
<p>
The Mindsets Technology unit operates as an expanded Value-Added Reseller (VAR) for cutting-edge technology partners. Our current focus is on bringing advanced technology solutions to the GCC market, specifically the Kingdom of Saudi Arabia. We serve clients in industrial sectors including manufacturing, logistics and distribution centers, and smart buildings with AI-powered solutions leveraging Industrial IoT, predictive maintenance, and edge analytics.</p><br>
<p><b>
The Role</b></p>
<p>
The Technical Sales Manager serves as the critical technical validation engine in our sales process, combining technical expertise with business development acumen. You will be the primary technical resource for the sales team, responsible for understanding operational challenges and architecting comprehensive solutions for our clients. This role requires system level technical capability in IoT systems, AI/ML analytics, and industrial asset management, and high client engagement and solution selling skills.</p>
<p>
You will lead the journey from discovery and solution architecture through product demonstrations, technical documentation, and Proof of Concept (PoC) management.</p><br>
<p><b>
Key Responsibilities</b></p>
<p><b>
Solution Design &amp; Architecture</b></p>
<ul>
<li>Conduct comprehensive technical discovery sessions with clients to uncover operational challenges, asset health issues, and business drivers related to predictive maintenance, IIoT, and industrial analytics</li>
</ul><ul><li>Design and architect tailored solutions that address specific client needs, incorporating sensor networks, edge computing, cloud platforms, and AI analytics</li>
</ul><ul><li>Perform asset criticality assessments and prioritization using condition monitoring data and analytics tools</li>
</ul><ul><li>Develop detailed Solution Design Documents (SDDs) and Statements of Work (SOWs) that outline technical approach, system architecture, integration requirements, and implementation roadmap</li>
</ul><ul><li>Collaborate cross-functionally with product, software, data science, and engineering teams to refine solution designs and ensure technical feasibility</li>
</ul>
<p><b>Technical Validation &amp; Demonstration</b></p>
<ul>
<li>Conduct expert-level product demonstrations and technical workshops showcasing AI-powered predictive maintenance, condition monitoring, and optimization capabilities</li>
</ul><ul><li>Translate complex technical concepts including vibration analysis, thermal imaging, spectral data, and machine learning models for both technical and executive audiences</li>
</ul><ul><li>Provide diagnostic insights</li>
</ul>
<p><b>Proof of Concept Management</b></p>
<ul>
<li>Own the complete PoC lifecycle from scoping and planning through execution, analysis, and final presentation</li>
</ul><ul><li>Analyze raw operational and maintenance data collected through platforms</li>
</ul><ul><li>Develop and present findings with clear recommendations</li>
</ul><ul><li>Document PoC results with quantifiable business outcomes and technical performance metrics</li>
</ul>
<p><b>Systems Integration &amp; Technical Implementation</b></p>
<ul>
<li>Ensure seamless integration with existing client systems</li>
</ul><ul><li>Work with internal and partner technical teams to address data connectivity, API requirements, and interoperability challenges</li>
</ul><ul><li>Support cloud and edge configuration across AWS, Azure, or hybrid environments</li>
</ul><ul><li>Provide guidance on networking requirements, cybersecurity considerations, and IT/OT convergence</li>
</ul>
<p><b>Client Engagement &amp; Technical Advisory</b></p>
<ul>
<li>Serve as the trusted technical advisor throughout the sales cycle, building credibility through domain expertise and practical problem-solving</li>
</ul><ul><li>Bridge between client stakeholders and internal/partner engineering teams, translating business requirements into technical specifications</li>
</ul><ul><li>Own technical responses for all RFPs, RFIs, and technical questionnaires</li><br>
</ul>
<p><b>Required Qualifications &amp; Experience</b></p>
<p><b>
Technical Expertise</b></p>
<ul>
<li>5+ years in a pre-sales engineering, solutions architecture, or technical consulting role serving enterprise clients with AI/IIoT solutions</li>
</ul><ul><li>Strong domain knowledge in Industrial Internet of Things (IIoT), predictive maintenance, condition monitoring, and Industry 4.0 technologies</li>
</ul><ul><li>Deep technical understanding of industrial assets including pumps, motors, gearboxes, and other rotating equipment</li>
</ul><ul><li>Practical knowledge of AI/ML solution implementation including data collection, feature engineering, model training, and deployment</li>
</ul><ul><li>Hands-on experience with data analytics and visualization tools (Power BI, Tableau, Grafana) to support PoC delivery</li>
</ul>
<p><b>Business &amp; Sales Acumen</b></p>
<ul>
<li>Proven track record of successfully designing and delivering technical PoCs that resulted in closed business</li>
</ul><ul><li>Ability to quantify solution value, calculate ROI, and articulate business cases for technical investments</li>
</ul><ul><li>Experience developing technical proposals, SDDs, and SOWs for complex enterprise solutions</li>
</ul><ul><li>Presentation and communication skills with ability to influence stakeholders</li>
</ul>
<p><b>Education</b><b>,</b><b> </b><b>Certifications</b><b> </b><b>and Skills</b></p>
<ul>
<li>Bachelor's degree in Mechanical, Electrical, Industrial, or Systems Engineering, or related technical field</li>
</ul><ul><li>Professional certifications such as CMRP (Certified Maintenance &amp; Reliability Professional), CRE (Certified Reliability Engineer)</li>
</ul><ul><li>Previous experience in reliability or maintenance engineering within manufacturing, energy, oil &amp; gas, or transportation industries</li>
</ul><ul><li>Familiarity with industrial control systems, SCADA environments, CMMS platforms</li>
</ul><ul><li>Experience implementing solutions in GCC markets</li></ul></div>

Technical Sales Manager

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 A global technology and consulting organization focused on driving innovation and transformation through data and AI solutions. The company is seeking a
 <strong>
  Territory Lead &ndash; Insights &amp; Data
 </strong>
 to lead strategic engagements in the Eastern Province, targeting major players in the oil and gas sector.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   ? ?Drive business development activities for Data, AI, and Analytics solutions, targeting major oil &amp; gas players, with a strong focus on ARAMCO and its subsidiaries.
  </li>
  <li>
   ? ?Lead engagements across the full lifecycle:
  </li>
  <li>
   Strategy definition
  </li>
  <li>
   Business case development
  </li>
  <li>
   Use case identification and shaping
  </li>
  <li>
   Track record of successfully delivering large-scale Data &amp; AI programs, from opportunity shaping to full production rollout.
  </li>
  <li>
   ? ?Strong stakeholder engagement, executive presence, and presentation skills.
  </li>
  <li>
   ? ?Fluent in English and Arabic.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of experience in data, analytics, and AI domains with strong business development and pre-sales expertise.
  </li>
  <li>
   Solid exposure to oil &amp; gas industry dynamics, particularly upstream and midstream operations.
  </li>
  <li>
   Proven experience working within large-scale enterprise ecosystems.
  </li>
  <li>
   Strong understanding of Generative AI, Agentic AI architectures, and associated technologies such as data &amp; analytics platform solutions (lakehouses, data lakes, etc.).
  </li>
  <li>
   Expertise across both IT and OT domains with ability to address challenges in industrial environments.
  </li>
  <li>
   Deep familiarity with technologies such as Informatica, SAP, Cloudera, DataRobot, or Dataiku platforms and their integration into enterprise data ecosystems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with major cloud platforms (Azure, AWS, GCP).
  </li>
  <li>
   Familiarity with industrial IoT, digital twins, and smart operations.
  </li>
  <li>
   Strong ecosystem network across Data &amp; AI software platform vendors, hyperscalers, and energy tech vendors.
  </li>
  <li>
   Technical implementation leadership from PoC to MVP to scaled rollout.
  </li>
  <li>
   Ability to collaborate with GSIs, technology vendors, and internal technical teams to co-create and position innovative solutions.
  </li>
  <li>
   Deep understanding of customer challenges in IT/OT convergence, enabling Industry 4.0 transformation.
  </li>
  <li>
   Experience representing organizations in client workshops, executive meetings, and industry forums.
  </li>
  <li>
   Proven ability to build strategic, long-term relationships across multiple business lines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Halian Group:
  <br/>
  <br/>
 </strong>
 With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers.
 <br/>
 <br/>
 Our resourcing and smart services help you to realize tomorrow&rsquo;s potential. Discover the amazing things possible when you bring the right people and the right technologies together.
 <br/>
 <br/>
 At Halian, we recognize that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organizations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.
 <br/>
 <br/>
 Insights &amp; Data Business Developer (Eastern Province Territory Lead) in Khobar, Saudi Arabia
 <br/>
 <br/>
</div>


Insights & Data Business Developer (Eastern Province Territory Lead) (m/f/d)

nybl

<div>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 The Pre-Sales Engineer acts as the bridge between the commercial and technical teams, providing deep product understanding, translating client problems into technical solutions, and ensuring opportunities are fully qualified before technical or engineering resources are deployed.
 <br/>
 <br/>
 This role blends business acumen with technical depth. The successful candidate will work closely with the sales team to scope solutions, build proposals, deliver demos, and ensure every deal is both technically sound and commercially viable. They act as the technical face of nybl during the sales cycle - driving clarity, feasibility, and confidence for all stakeholders.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Client Engagement &amp; Technical Discovery
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Engage with prospective customers to understand their business needs, technical environments, and desired outcomes.
  </li>
  <li>
   Qualify early opportunities alongside the Sales team by assessing technical fit, feasibility, and strategic alignment.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Solution Design &amp; Technical Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Translate customer requirements into technical and functional specifications aligned with nybl&rsquo;s product suite.
  </li>
  <li>
   Lead product demos, proofs-of-concept, and technical presentations without requiring engineering support during early sales stages.
  </li>
  <li>
   Develop high-level solution designs, estimates (resources, effort, timelines), and associated implementation costs.
  </li>
  <li>
   Coordinate with Engineering teams to validate technical requirements for RFIs, proposals, and solution designs.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Proposal, Tender &amp; Documentation Ownership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Take full ownership of responding to PQQs, RFPs, RFIs, and tenders with clear, technically accurate submissions.
  </li>
  <li>
   Support Sales in the development of commercial proposals (as per nybl&rsquo;s sales playbook and approval workflows).
  </li>
  <li>
   Create and present tailored solution proposals, ensuring alignment with commercial goals and client KPIs.
  </li>
  <li>
   Develop and maintain a repository of reusable pre-sales materials (compliance matrices, architectures, diagrams, FAQs, templates) to improve speed and consistency.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cross-Functional Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Coordinate with the PMO to understand delivery resource availability and set realistic timeline expectations with clients.
  </li>
  <li>
   Serve as the primary technical contact throughout the pre-sales cycle, ensuring smooth handover to delivery after deal closure.
  </li>
  <li>
   Provide product and market feedback to Engineering and Product teams to influence roadmap direction.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Product, Market &amp; Technical Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Maintain deep understanding of nybl&rsquo;s AI/ML, analytics, automation, and industrial solutions and how they integrate into client architectures.
  </li>
  <li>
   Conduct competitor and market analysis to position nybl&rsquo;s offerings effectively.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Engineering, Computer Science, Data Science, or similar technical discipline.
  </li>
  <li>
   5+ years&rsquo; experience in pre-sales, solution engineering, or technical consulting roles.
  </li>
  <li>
   Strong understanding of AI/ML, analytics, or industrial automation (experience in oil &amp; gas, utilities, manufacturing, or enterprise AI is preferred).
  </li>
  <li>
   Proven ability to translate complex technical concepts into clear business value.
  </li>
  <li>
   Experience in creating solution architectures, technical documentation, and proposals.
  </li>
  <li>
   Excellent presentation, communication, and stakeholder management skills.
  </li>
  <li>
   Ability to operate independently across multiple opportunities and regions.
  </li>
  <li>
   Strong commercial awareness; comfortable discussing ROI, pricing structures, and general commercial models.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred / Desirable Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in AI SaaS, deep-tech, or industrial analytics companies.
  </li>
  <li>
   Exposure to SCADA, IoT, or predictive analytics systems.
  </li>
  <li>
   Arabic language skills are an advantage.
  </li>
  <li>
   Understanding of enterprise sales cycles and procurement processes.
  </li>
 </ul>
</div>


Presales Engineer (Remote)

TMC Middle East

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


Data Scientist

MASTER-WORKS

<div><p>Master-Works is seeking an experienced AI Business Analyst Lead to spearhead our initiatives in leveraging artificial intelligence to drive business growth. In this pivotal role, you will guide a team of analysts in understanding client needs and translating them into AI-driven solutions. Your leadership will be essential in bridging the gap between technical teams and business stakeholders, ensuring that AI projects align with our strategic objectives and deliver measurable results.</p><p></p><p><b>
Key Responsibilities:</b></p><ul>
<li>Lead and mentor a team of business analysts in evaluating and implementing AI solutions across various business units.</li>
<li>Work closely with stakeholders to identify business challenges and explore AI opportunities for improvement.</li>
<li>Conduct comprehensive data analysis to inform the development of AI models and algorithms.</li>
<li>Design and oversee the implementation of AI-driven business strategies and initiatives.</li>
<li>Develop clear business cases for AI projects, outlining costs, benefits, risks, and revenue generation potential.</li>
<li>Facilitate collaboration between technical teams (data scientists, engineers) and business units to ensure successful project delivery.</li>
<li>Stay abreast of industry trends, emerging technologies, and best practices in AI and analytics.</li>
<li>Measure and report on the performance of AI initiatives to stakeholders through detailed reporting and presentations.</li>
</ul><p></p><p><b>Requirements:</b></p><ul>
<li>Master's degree in Business Administration, Data Science, Computer Science, or a related field.</li>
<li>5+ years of experience in business analysis, with a focus on AI or advanced analytics.</li>
<li>Proven experience leading and managing a team of analysts.</li>
<li>Strong understanding of AI principles, machine learning algorithms, and data modeling.</li>
<li>Excellent project management skills and experience with Agile methodologies.</li>
<li>Exceptional verbal and written communication skills, with the ability to convey complex information to non-technical stakeholders.</li>
<li>Strong analytical and problem-solving abilities, with attention to detail.</li>
<li>Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus.</li>
</ul><p>If you are passionate about harnessing the power of AI to drive business success and have a knack for leadership and strategy, we invite you to join our team at Master-Works!</p><p><b>
Requirements</b></p><ul>
<li>Master's degree in Business Administration, Data Science, Computer Science, or a related field</li>
<li>5+ years of experience in business analysis, focusing on AI or advanced analytics</li>
<li>Proven experience leading and managing a team of analysts</li>
<li>Strong understanding of AI principles, machine learning algorithms, and data modeling</li>
<li>Excellent project management skills and experience with Agile methodologies</li>
<li>Exceptional verbal and written communication skills</li>
<li>Strong analytical and problem-solving abilities</li>
<li>Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus</li></ul></div>

AI Business Analyst Lead

Master Works

<div>
 Master-Works is seeking an experienced AI Business Analyst Lead to spearhead our initiatives in leveraging artificial intelligence to drive business growth. In this pivotal role, you will guide a team of analysts in understanding client needs and translating them into AI-driven solutions. Your leadership will be essential in bridging the gap between technical teams and business stakeholders, ensuring that AI projects align with our strategic objectives and deliver measurable results.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead and mentor a team of business analysts in evaluating and implementing AI solutions across various business units
  </li>
  <li>
   Work closely with stakeholders to identify business challenges and explore AI opportunities for improvement
  </li>
  <li>
   Conduct comprehensive data analysis to inform the development of AI models and algorithms
  </li>
  <li>
   Design and oversee the implementation of AI-driven business strategies and initiatives
  </li>
  <li>
   Develop clear business cases for AI projects, outlining costs, benefits, risks, and revenue generation potential
  </li>
  <li>
   Facilitate collaboration between technical teams (data scientists, engineers) and business units to ensure successful project delivery
  </li>
  <li>
   Stay abreast of industry trends, emerging technologies, and best practices in AI and analytics
  </li>
  <li>
   Measure and report on the performance of AI initiatives to stakeholders through detailed reporting and presentations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in Business Administration, Data Science, Computer Science, or a related field
  </li>
  <li>
   5+ years of experience in business analysis, with a focus on AI or advanced analytics
  </li>
  <li>
   Proven experience leading and managing a team of analysts
  </li>
  <li>
   Strong understanding of AI principles, machine learning algorithms, and data modeling
  </li>
  <li>
   Excellent project management skills and experience with Agile methodologies
  </li>
  <li>
   Exceptional verbal and written communication skills, with the ability to convey complex information to non-technical stakeholders
  </li>
  <li>
   Strong analytical and problem-solving abilities, with attention to detail
  </li>
  <li>
   Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus
   <br/>
   <br/>
  </li>
 </ul>
 If you are passionate about harnessing the power of AI to drive business success and have a knack for leadership and strategy, we invite you to join our team at Master-Works!
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in Business Administration, Data Science, Computer Science, or a related field
  </li>
  <li>
   5+ years of experience in business analysis, focusing on AI or advanced analytics
  </li>
  <li>
   Proven experience leading and managing a team of analysts
  </li>
  <li>
   Strong understanding of AI principles, machine learning algorithms, and data modeling
  </li>
  <li>
   Excellent project management skills and experience with Agile methodologies
  </li>
  <li>
   Exceptional verbal and written communication skills
  </li>
  <li>
   Strong analytical and problem-solving abilities
  </li>
  <li>
   Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus
  </li>
 </ul>
</div>


Explore 2629+ Industrial data ai technical lead in Saudi Arabia this December. Find roles across top companies and apply now to boost your career.

2629 industrial data ai technical lead jobs IN Saudi Arabia

Industrial Data & AI Technical Lead

Technical Sales Manager

Insights & Data Business Developer (Eastern Province Territory Lead) (m/f/d)

Presales Engineer (Remote)

Data Scientist

AI Business Analyst Lead

AI Business Analyst Lead