344 Data Manager jobs in Saudi Arabia

Job Description

Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.

Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.

Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.

Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.

Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.

Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.

Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).

A degree in computer science, data science or any other relevant field. A master's is a plus

4 years of experience in relevant fields

Data Engineering & Querying: Strong proficiency in SQL

Visualization & Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.

Data Wrangling: Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.

Cloud & Analytics Tools: Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.

Overview

Leading the future in luxury electric and mobility

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Data Analysis Specialist is responsible for all Quality data collection, analysis and visualization, developing and maintaining Quality Dashboards and KPIs.

• Collect and capture all Data and KPIs related to Manufacturing Quality.
• Develop Quality Dashboard using Lucid Applications and Tools to ensure data and KPIs visualization.
• Conduct data analysis and deep dives to visualize priorities and top contributors that require focus.
• Identify data and Quality issues trends versus Problem Solving.
• Track effectiveness of actions plans through data.
• Maintain all Quality Dashboards updated and accurate.
• Escalate urgent issues and prioritize business needs.
• Provide required support to all Quality functions regarding data collection, visualization and analysis.
• Develop regular reports for different management levels.
• Prepare reporting for weekly and monthly Quality reviews.

• Previous experience with OEM is a plus.
• Strong knowledge of MS Office tools (MS-Project, Word, Excel, and PowerPoint)
• Experience with Tableau and SmartSheet is a strong plus.
• Experience with the Manufacturing Execution System Application/Environment is a strong plus.
• Experience with Sales Force Application is a strong plus.
• Detail-oriented with strong record-keeping and organizational skills.
• Excellent written and verbal communication skills and people skills, comfortable presenting ideas and issues to peer groups and leaders.
• Positive energy and attitude.
• Demonstrated ability to work under high demanding level.
• Ability to work in a dynamic, fast-paced environment.

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.

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Job Purpose - الغرض من الوظيفة

The Data Analyst will play a key role in improving the quality of patient safety data at the Saudi Patient Safety Center (SPSC). By applying advanced statistical and analytical methods, the analyst will generate evidence-based reports, develop national patient safety KPIs, and support decision-making at both national and international levels - سيساهم محلل البيانات بدور محوري في تحسين جودة بيانات سلامة المرضى في المركز السعودي لسلامة المرضى ومن خلال تطبيق الأساليب الإحصائية والتحليلية المتقدمة، سيقوم المحلل بإعداد تقارير قائمة على الأدلة، وتطوير مؤشرات أداء وطنية لسلامة المرضى، ودعم عملية اتخاذ القرار على المستويين الوطني والدولي. ويسهم هذا الدور بشكل مباشر في تعزيز مكانة المركز كجهة وطنية رائدة ذات شراكات دولية ومعترف بها من قبل منظمة الصحة العالمية (WHO).

Responsibilities - المسؤوليات

• Collect, clean, analyze, and present findings of healthcare data using advanced statistical tools and methods - جمع البيانات الصحية وتنظيفها وتحليلها وعرض نتائجها باستخدام أدوات وأساليب إحصائية متقدمة.
• Prepare reports highlighting trends, risks, and recommendations for performance improvement - إعداد تقارير تسلط الضوء على الاتجاهات والمخاطر والتوصيات اللازمة لتحسين الأداء.
• Collaborate with clinical teams to interpret findings and implement evidence-based improvements - التعاون مع الفرق السريرية لتفسير النتائج وتطبيق التحسينات المبنية على الأدلة.
• Support research studies and national/international projects related to patient safety - دعم الدراسات البحثية والمشاريع الوطنية والدولية ذات الصلة بسلامة المرضى.
• Develop, monitor, and evaluate patient safety Key Performance Indicators (KPIs) - تطوير ومتابعة وتقييم مؤشرات الأداء الرئيسة (KPIs) الخاصة بسلامة المرضى.
• Ensure accuracy, integrity, and quality assurance of data before reporting - ضمان دقة ونزاهة البيانات وجودتها قبل نشرها أو الإبلاغ عنها.
• Contribute to strengthening SPSC's international reporting and benchmarking in line with WHO standards - الإسهام في تعزيز التقارير الدولية والمقارنات المرجعية للمركز بما يتماشى مع معايير منظمة الصحة العالمية.
• Create dashboards and visualization tools (Power BI/Tableau) to facilitate decision-making in patient safety - إنشاء لوحات متابعة وأدوات عرض بيانية (Power BI/Tableau) لدعم عملية اتخاذ القرار في مجال سلامة المرضى.

Requirement and Qualifications - المتطلبات والمؤهلات

• Bachelor or Master's degree in Biostatistics, Epidemiology, Health Data Science, or a related field - درجة الباكلوريوس او الماجستير في الإحصاء الحيوي، علم الأوبئة، علوم بيانات الصحة، أو مجال ذي صلة.
• Minimum of 4 years' experience in biostatistics or healthcare data analysis, Experience in patient safety data domains is preferred.
• Patient Safety certification - شهادة في سلامة المرضى.
• Certified Professional in Healthcare Quality (CPHQ) - أخصائي معتمد في جودة الرعاية الصحية
• Machine Learning specialization - تخصص في التعلم الآلي.
• Lean Six Sigma Green/Black Belt - لين سقما
• Certified Health Data Analyst (CHDA) - محلل بيانات صحية معتمدة

Skills - المهارات

Technical Skills:

• Proficiency in statistical software and tools such as SAS, R, SPSS, Power BI, or Python - إجادة استخدام البرمجيات والأدوات الإحصائية مثل SAS، R، SPSS، Power BI أو Python.
• Strong SQL and data querying from relational databases or cloud-based environments - إتقان SQL واستخراج البيانات من قواعد البيانات العلائقية أو البيئات السحابية.
• Advanced analytical and problem-solving skills, with ability to extract meaningful insights - مهارات تحليلية متقدمة وحل المشكلات مع القدرة على استنتاج رؤى ذات مغزى.
• Strong reporting skills with ability to communicate complex findings clearly - مهارات قوية في إعداد التقارير وعرض النتائج المعقدة بشكل واضح.
• Ensure data accuracy, quality, and security in compliance with internal policies and data governance standards - ضمان دقة وجودة وأمن البيانات بما يتماشى مع السياسات الداخلية ومعايير حوكمة البيانات.
• Cross-functional Collaboration - القدرة على التعاون الفعال مع فرق متعددة التخصصات.

Soft Skills:

• Strong communication and data presentation abilities for clinical and non-clinical audiences - قدرات تواصل متميزة وعرض البيانات بطريقة مناسبة للجمهور السريري وغير السريري.
• High attention to detail and accuracy in data work - دقة عالية واهتمام بالتفاصيل في العمل مع البيانات.
• Ability to collaborate effectively in multidisciplinary teams - القدرة على التعاون والعمل الجماعي بفعالية.

Job Description

• Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.
• Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.
• Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.
• Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.
• Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.
• Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.
• Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).

Job Requirements

• A degree in computer science, data science or any other relevant field. A master's is a plus
• 4 years of experience in relevant fields
• Data Engineering & Querying: Strong proficiency in SQL
• Visualization & Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.
• Data Wrangling: Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.
• Cloud & Analytics Tools: Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.

Role Summary:

Play a key role in establishing and operationalizing Aljeel's Data Management Office. The primary focus of this role will be on Master Data Management (MDM), ensuring that product, customer, supplier, and employee master data are accurate, standardized, and governed across the enterprise. The role will also contribute to broader data governance activities, including data quality, metadata, and compliance initiatives, to support business operations and regulatory requirements.

Key Responsibilities:

Master Data Management (Primary Focus)

•Support the design, implementation, and maintenance of Aljeel's Item Master and other critical master data domains (Customer, Supplier, Employee).

•Execute data quality checks, cleansing, and enrichment activities to ensure completeness, accuracy, and consistency of master data.

•Manage and monitor data request workflows (creation, update, deactivation) to ensure compliance with established standards and business rules.

•Collaborate with IT and business users to resolve data-related issues (e.g., duplicates, UoM mismatches, missing attributes).

•Document and maintain data standards, naming conventions, and business rules for master data attributes.

Data Governance & Compliance

•Assist in the rollout of data governance frameworks, policies, and procedures across the organization.

•Monitor and report on data quality metrics, KPIs, and dashboards for master data and other domains.

•Contribute to the creation of metadata repositories, business glossaries, and data dictionaries.

•Support compliance with NDMO/NDI guidelines, ISO 8000, and PDPL (or other relevant regulatory frameworks).

Stakeholder Engagement & Change Management

•Work with business stakeholders (Finance, Supply Chain, Commercial, Operations) to capture requirements and align master data governance with business processes.

•Provide training, guidance, and support to business users on master data standards and processes.

•Act as a liaison between business and IT teams to ensure effective communication on data-related matters.

Qualifications & Skills

•Bachelor's degree in Information Management, Computer Science, Business Administration, or related field (Master's degree preferred).

•4–6 years of relevant experience in data management, data governance, or master data management.

•Hands-on experience with ERP systems (preferably Oracle Fusion) in managing item master and related master data.

•Familiarity with data governance frameworks (e.g., DAMA-DMBOK, ISO 8000, NDMO/NDI).

•CDMP (Certified Data Management Professional) certification preferred.

•Strong analytical skills with attention to detail and problem-solving capabilities.

•Excellent communication and stakeholder management skills.

•Ability to balance operational execution with governance and policy alignment.

Key Success Indicators

•Accuracy, completeness, and consistency of master data across domains.

•Adoption of data standards and policies by business users.

•Reduction in duplicate, inconsistent, or non-compliant data.

•Positive impact on business operations through improved master data quality.

Overview

Direct message the job poster from cander

A leading financial institution in Saudi Arabia is seeking an experienced Data Governance Specialist to join their Data Analytics & AI team. This role is critical in advancing data governance maturity, ensuring compliance with regulatory frameworks, and embedding best practices across the organization.

• Support design and implementation of data governance frameworks, policies, and standards .
• Drive NDMO compliance (P1, P2, P3 controls), including evidence validation and CAST tool assessments.
• Lead initiatives on data quality, lineage, metadata, and stewardship .
• Identify Key Data Elements (KDEs) and domain ownership across business units.
• Deliver training for data owners and stewards to embed governance practices.
• Ensure compliance with SDAIA, NDMO, DAMA, GDPR and other industry standards.

• 5+ years’ experience, with at least 3 in data governance/data management .
• Proven track record in regulatory or compliance-driven data initiatives .
• Strong knowledge of NDMO frameworks and governance tools (Axon, EDC, IDQ).
• Excellent stakeholder engagement, analysis, and communication skills.
• Prior experience working in Saudi Arabia is essential.

Overview

The Manager Data governance will lead the development and implementation of data and AI strategic vision, governance, risk management, operational excellence, frameworks and policies, ensuring the integrity, quality, and security of data across the organization. This role focuses on establishing best practices for data & AI management and compliance with relevant regulations.

• Define and execute the organization’s integrated data and AI strategy, aligning initiatives with business priorities and industry trends.
• Lead enterprise-wide transformation projects, embedding data and AI into products and decision-making.

Develop and execute a comprehensive data governance strategy that aligns with organizational goals and regulatory requirements.

Create, implement, and maintain data governance, privacy, ethical AI policies, standards, and procedures to ensure data accuracy, consistency, and security.

• Collaborate with cross-functional teams, including IT, legal, compliance, and business units, to promote data governance initiatives and secure buy-in.
• Engage with external regulators, technology partners, and vendors to drive innovation and compliance.

• Establish processes for monitoring and improving data quality KPIs, including data profiling, cleansing, and validation.
• Monitor, diagnose, and resolve data-related issues, providing high-quality datasets for ML/AI solutions.

• Ensure compliance with relevant data protection regulations (e.g., PDPL, GDPR, CCPA) and assess risks associated with data management practices.
• Identify and manage risks associated with data and AI systems, implementing regular controls, audits, and incident management protocols.

Provide training and support to employees on data & AI best practices and promote a culture of innovation & data stewardship within the organization.

• Oversee robust data infrastructures, scalable cloud architectures, and continuous improvement projects for data systems and AI models.
• Collaborate with IT, product, analytics, and compliance teams to integrate data/AI solutions in business workflows.
• Research emerging technologies and market trends; propose enhancements for policies, strategies, and technologies.
• Lead change management activities for the adoption of cutting-edge solutions in data and AI.

• Bachelor’s degree in data science, Information Management, Artificial Intelligence, Computer Science or a related field.
• Relevant certifications in data governance or data management (e.g., CDMP, DGSP) are advantageous.

• 6 - 10 years of experience in data governance, data management, artificial intelligence or a related field, with at least 3 years in a managerial role.
• Proven experience in developing and implementing data management, & governance frameworks and policies.
• Familiarity with infrastructure & cloud platforms.

• Strategic vision and leadership for data/AI.
• Data quality management and stewardship.
• Strong understanding of data governance principles, practices, and regulatory requirements.
• Excellent analytical and problem-solving skills, with a focus on data quality and compliance.
• Strong project management skills, with the ability to manage multiple initiatives and deadlines.
• Exceptional communication and interpersonal skills, capable of engaging effectively with stakeholders at all levels.
• Leadership qualities with the ability to inspire and motivate teams towards achieving data governance objectives.

• Driving performance for improvement.
• Leadership
• Building partnership
• Developing satisfaction
• Commercial acumen

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Financial Services and Banking

Data Governance Consultant (Arabic Speaker) – Al Dar Al Baida District, Riyadh, Saudi Arabia

Master Data Management Senior Consultant