وظائف مدخل بيانات - الرياض السعودية

<p>مطلوب موظف مدخل بيانات مستودع&nbsp;</p><p>&nbsp;</p><p>&nbsp;<strong>المتطلبات:</strong></p><ul><li>خبرة من 3 إلى 5 سنوات في إدخال بيانات المستودعات</li><li>دقة عالية في إدخال البيانات والانتباه للتفاصيل</li><li>إجادة استخدام برامج الكمبيوتر (Excel وأنظمة إدارة المخازن)</li><li>القدرة على تنظيم ومتابعة سجلات المخزون</li></ul>

<h2 ><span lang="ar" dir="rtl">اعلان شركة معادن عن وظيفة&nbsp;أخصائي رئيسي مجال بيانات التشغيل (Lead Specialist, OT Data Domain II)</span></h2><h3 ><span lang="ar" dir="rtl">الغرض من الوظيفة</span></h3><p ><span lang="ar" dir="rtl">يتولى هذا الدور مسؤولية تنفيذ وتشغيل واستدامة مجال بيانات التشغيل (OT Data Domain) تحت إشراف مدير مجالات ومنتجات البيانات.</span></p><p ><span lang="ar" dir="rtl">يشمل الدور ضمان أن بيانات أنظمة التشغيل (مثل SCADA / DCS / MES / Historian / بيانات الحساسات) يتم تعريفها وإدارتها والتحقق منها بشكل صحيح، وأنها صالحة للاستخدام المؤسسي وليست بيانات معزولة أو خاصة بموقع معين.</span></p><p ><span lang="ar" dir="rtl">يعمل على تحويل متطلبات بيئة التشغيل إلى منتجات بيانات قابلة للتنفيذ والاستخدام داخل المؤسسة.</span></p><h3 ><span lang="ar" dir="rtl">المسؤوليات الرئيسية</span></h3><ul><li><p ><span lang="ar" dir="rtl">تنفيذ خارطة طريق مجال بيانات التشغيل وضمان تسليم المنتجات في الوقت المحدد.</span></p></li><li><p ><span lang="ar" dir="rtl">الإشراف التشغيلي على كيانات وخصائص ومؤشرات بيانات OT وفق المعايير المعتمدة.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان أن بيانات التشغيل تعكس الواقع الفعلي للعمليات في المصانع والمواقع.</span></p></li><li><p ><span lang="ar" dir="rtl">دعم تشغيل واستدامة منتجات بيانات التشغيل مثل الإنتاج والمعدات والاعتمادية والبيانات البيئية.</span></p></li><li><p ><span lang="ar" dir="rtl">مواءمة بيانات OT مع كيانات المؤسسة مثل الأصول والمواقع وأوامر العمل ووحدات الإنتاج.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان التزام البيانات بمعايير الحوكمة (البيانات الوصفية، التصنيف، التتبع، الصلاحيات).</span></p></li><li><p ><span lang="ar" dir="rtl">توثيق وفهرسة بيانات OT لضمان سهولة الوصول والتتبع والتدقيق.</span></p></li><li><p ><span lang="ar" dir="rtl">المشاركة في مراجعات التصميم والتأكد من الالتزام بالمعايير التشغيلية والبيانية.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المؤهلات المطلوبة</span></h3><ul><li><p ><span lang="ar" dir="rtl">بكالوريوس في الهندسة أو نظم المعلومات أو علوم الحاسب أو تخصص ذي صلة.</span></p></li><li><p ><span lang="ar" dir="rtl">يفضل وجود خلفية في الأنظمة الصناعية والتشغيلية (OT).</span></p></li></ul><h3 ><span lang="ar" dir="rtl">الخبرة المطلوبة</span></h3><ul><li><p ><span lang="ar" dir="rtl">خبرة من 8 إلى 12 سنة في أنظمة التشغيل أو بيئات البيانات الصناعية.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في أنظمة SCADA / DCS / MES أو بيانات الحساسات (Sensors).</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في العمل بين فرق التشغيل (OT) وتقنية المعلومات (IT).</span></p></li></ul>

<h2 ><span lang="ar" dir="rtl">اعلان شركة معادن عن وظيفة&nbsp;أخصائي رئيسي بيانات وحدة الأعمال (Principal Specialist, BU Data Domain)</span></h2><h3 ><span lang="ar" dir="rtl">الغرض من الوظيفة</span></h3><p ><span lang="ar" dir="rtl">يتولى هذا الدور مسؤولية ملكية مجال بيانات محدد داخل وحدة أعمال التعدين، ويكون مسؤولاً عن سلامة المعنى (Semantic Integrity)، وحوكمة البيانات، وجودتها، ومدى ملاءمتها للاستخدام التشغيلي والتحليلي.</span></p><p ><span lang="ar" dir="rtl">يعمل على تحويل بيانات وحدة الأعمال والمبادرات الرقمية المرتبطة بها إلى منتجات بيانات موثوقة ومُدارة وقابلة لإعادة الاستخدام، بما يتماشى مع معايير المؤسسة، مع الحفاظ على انعكاس الواقع التشغيلي وقرارات العمل داخل الوحدة.</span></p><p ><span lang="ar" dir="rtl">يمثل نقطة المسؤولية الوحيدة (Single Point of Accountability) لتعريفات البيانات، ومؤشرات الأداء (KPIs)، وملكية البيانات، وجودة المخرجات داخل المجال.</span></p><h3 ><span lang="ar" dir="rtl">المسؤوليات الرئيسية</span></h3><ul><li><p ><span lang="ar" dir="rtl">العمل كجهة مرجعية رسمية لجميع كيانات البيانات ومؤشرات الأداء داخل مجال وحدة الأعمال.</span></p></li><li><p ><span lang="ar" dir="rtl">المشاركة في منتديات الحوكمة والتصميم المؤسسية لمواءمة احتياجات المجال مع معايير المؤسسة.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان أن بيانات وحدة الأعمال تعكس العمليات الفعلية والقيود التشغيلية والمتطلبات التنظيمية.</span></p></li><li><p ><span lang="ar" dir="rtl">التنسيق مع فرق هندسة البيانات والمنصات لضمان تنفيذ منتجات البيانات وفق التصميم المعتمد.</span></p></li><li><p ><span lang="ar" dir="rtl">تمثيل وحدة الأعمال في قضايا البيانات والتواصل مع أصحاب المصلحة من المستوى التنفيذي.</span></p></li><li><p ><span lang="ar" dir="rtl">ترجمة احتياجات وحدة الأعمال إلى متطلبات بيانات منظمة وقابلة للتنفيذ.</span></p></li><li><p ><span lang="ar" dir="rtl">الدفاع عن أولويات المجال مع الحفاظ على التوافق مع استراتيجية المؤسسة.</span></p></li><li><p ><span lang="ar" dir="rtl">تكييف معايير المؤسسة لتناسب سياق وحدة الأعمال دون الإخلال بالاتساق العام.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المؤهلات المطلوبة</span></h3><ul><li><p ><span lang="ar" dir="rtl">بكالوريوس في إدارة الأعمال أو الهندسة أو نظم المعلومات أو إدارة البيانات أو تخصص ذي صلة.</span></p></li><li><p ><span lang="ar" dir="rtl">يفضل درجة الماجستير أو خبرة عميقة في نفس المجال.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">الخبرة المطلوبة</span></h3><ul><li><p ><span lang="ar" dir="rtl">أكثر من 10 سنوات خبرة في بيانات الأعمال أو التحليلات أو إدارة المعلومات المؤسسية.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في إدارة تعريفات البيانات ومؤشرات الأداء وجودة البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">قدرة مثبتة على التأثير على أصحاب المصلحة دون سلطة مباشرة.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المهارات</span></h3><ul><li><p ><span lang="ar" dir="rtl">ملكية البيانات المبنية على المجال (Domain-driven Data Ownership).</span></p></li><li><p ><span lang="ar" dir="rtl">حوكمة البيانات ونماذج الإشراف.</span></p></li><li><p ><span lang="ar" dir="rtl">إدارة جودة البيانات ومعالجة الفجوات.</span></p></li><li><p ><span lang="ar" dir="rtl">الترجمة بين الجانب التقني واحتياجات الأعمال.</span></p></li><li><p ><span lang="ar" dir="rtl">مواءمة متطلبات الوحدة مع معايير المؤسسة.</span></p></li></ul>

<h2 ><span lang="ar" dir="rtl">اعلان شركة معادن عن وظيفة&nbsp;مدير حوكمة البيانات والذكاء الاصطناعي</span></h2><h3 ><span lang="ar" dir="rtl">وصف الوظيفة</span></h3><p ><span lang="ar" dir="rtl">مدير حوكمة البيانات هو الجهة المركزية المسؤولة عن تنظيم وإدارة وتعزيز إطار حوكمة البيانات في شركة معادن. يضمن الدور التطبيق الفعّال لسياسات ومعايير وممارسات حوكمة البيانات بهدف تحسين جودة البيانات، وسلامتها، وأمنها، والامتثال التنظيمي.</span></p><p ><span lang="ar" dir="rtl">يقود المدير عمليات ومشاريع حوكمة البيانات، ويعمل بشكل وثيق مع أصحاب المصلحة من الجانب التجاري والتقني لدعم نضج البيانات على مستوى المؤسسة وتمكين اتخاذ قرارات قائمة على البيانات.</span></p><h3 ><span lang="ar" dir="rtl">المهام والمسؤوليات الرئيسية</span></h3><ul><li><p ><span lang="ar" dir="rtl">قيادة تطوير وتنفيذ وتحسين إطار حوكمة البيانات بشكل مستمر.</span></p></li><li><p ><span lang="ar" dir="rtl">الإشراف على عمليات ومشاريع الحوكمة بما في ذلك تطبيق السياسات والمراقبة وإعداد التقارير.</span></p></li><li><p ><span lang="ar" dir="rtl">التعاون مع وحدات الأعمال والفرق التقنية لضمان توافق مبادرات الحوكمة مع أهداف المؤسسة.</span></p></li><li><p ><span lang="ar" dir="rtl">قيادة إدارة التغيير المرتبطة بتحديث سياسات وإجراءات حوكمة البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">تقديم برامج تدريب وتوعية لتعزيز ممارسات حوكمة البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">ترؤس مجلس حوكمة البيانات والتنسيق مع مسؤولي البيانات (Data Stewards) ومالكي البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان الالتزام باللوائح التنظيمية مثل نظام حماية البيانات الشخصية (PDPL).</span></p></li><li><p ><span lang="ar" dir="rtl">مراقبة وقياس مؤشرات جودة البيانات وأداء الحوكمة.</span></p></li><li><p ><span lang="ar" dir="rtl">دعم إدارة البيانات الوصفية (Metadata) وفهرسة البيانات (Data Catalog) وتتبع مصادر البيانات (Data Lineage).</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المؤهلات</span></h3><ul><li><p ><span lang="ar" dir="rtl">بكالوريوس في علوم الحاسب أو نظم المعلومات أو إدارة البيانات أو تخصص ذي صلة.</span></p></li><li><p ><span lang="ar" dir="rtl">يفضل الحصول على شهادات مهنية مثل CDMP أو DCAM.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">الخبرة المطلوبة</span></h3><ul><li><p ><span lang="ar" dir="rtl">خبرة من 8 إلى 10 سنوات في حوكمة البيانات أو إدارة البيانات أو إدارة المعلومات المؤسسية.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة مثبتة في قيادة برامج حوكمة البيانات في مؤسسات كبيرة.</span></p></li><li><p ><span lang="ar" dir="rtl">فهم قوي لأدوات حوكمة البيانات مثل Informatica وMicrosoft Purview.</span></p></li><li><p ><span lang="ar" dir="rtl">معرفة بلوائح حماية البيانات (NDMO) وأطر الامتثال.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المهارات والكفاءات</span></h3><ul><li><p ><span lang="ar" dir="rtl"><strong>التفكير الاستراتيجي:</strong> مواءمة حوكمة البيانات مع استراتيجية العمل.</span></p></li><li><p ><span lang="ar" dir="rtl"><strong>القيادة:</strong> توجيه الفرق نحو تحقيق نضج البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl"><strong>التعاون:</strong> العمل مع مختلف الإدارات والشركاء.</span></p></li><li><p ><span lang="ar" dir="rtl"><strong>إدارة التغيير:</strong> قيادة التحول في ممارسات البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl"><strong>التحليل:</strong> استخدام البيانات لدعم قرارات الحوكمة.</span></p></li><li><p ><span lang="ar" dir="rtl"><strong>النزاهة والمساءلة:</strong> الالتزام بالمعايير والسياسات.</span></p></li><li><p ><span lang="ar" dir="rtl"><strong>التواصل:</strong> شرح قيمة ومبادئ الحوكمة بوضوح.</span></p></li></ul>

<h2 ><span lang="ar" dir="rtl">اعلان شركة معادن عن وظيفة&nbsp;مدير منصات البيانات والذكاء الاصطناعي</span></h2><h3 ><span lang="ar" dir="rtl">وصف الوظيفة</span></h3><p ><span lang="ar" dir="rtl">مسؤول منصات البيانات والذكاء الاصطناعي عن حوكمة وتنسيق وتمكين مجموعة من مجالات البيانات (Data Domains) ومنتجاتها، بدلاً من امتلاك مجال واحد بشكل مباشر.</span></p><p ><span lang="ar" dir="rtl">يضمن الدور أن مالكي البيانات في المجالات المختلفة يعملون ضمن إطار مؤسسي موحد لمنتجات البيانات، الحوكمة، الجودة، وتحقيق القيمة. كما يعمل كجهة إشراف على مستوى المحفظة (Portfolio Level) لضمان توافق أولويات المجالات مع استراتيجية المؤسسة.</span></p><p ><span lang="ar" dir="rtl">يركز الدور على تكامل مجالات البيانات مع بعضها البعض، وضمان أن منتجات البيانات يتم تطويرها كأصول قابلة لإعادة الاستخدام وليست حلولاً منفصلة (Siloed Solutions).</span></p><h3 ><span lang="ar" dir="rtl">المهام والمسؤوليات الرئيسية</span></h3><ul><li><p ><span lang="ar" dir="rtl">قيادة والإشراف على عدة مجالات بيانات، يديرها مالكو بيانات متخصصون.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان التزام مالكي البيانات بمبادئ موحدة للملكية، الحوكمة، النمذجة، وجودة البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">موازنة الطلبات عبر المجالات المختلفة وترتيب أولويات منتجات البيانات وفقًا للقيمة المؤسسية والمتطلبات التنظيمية.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان تكامل منتجات البيانات مع المنصات المؤسسية والمستهلكين النهائيين للبيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">العمل كنقطة اتصال رئيسية بين الأعمال ومجالات البيانات المختلفة.</span></p></li><li><p ><span lang="ar" dir="rtl">تحويل متطلبات الاستراتيجية إلى خطط تنفيذية عبر جميع مجالات البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">إزالة العوائق وحل التعارضات بين المجالات المختلفة وتوضيح الأولويات.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان توحيد وثائق دورة حياة البيانات مثل الملكية والتعريفات واتفاقيات مستوى الخدمة (SLA).</span></p></li><li><p ><span lang="ar" dir="rtl">قيادة وتطوير مديري وملاك مجالات البيانات وتعريف حدود المسؤوليات بينهم.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المؤهلات</span></h3><ul><li><p ><span lang="ar" dir="rtl">بكالوريوس أو ماجستير في علوم الحاسب أو هندسة البيانات أو البرمجيات أو الحوسبة السحابية أو تخصص ذي صلة.</span></p></li><li><p ><span lang="ar" dir="rtl">يفضل الحصول على ماجستير إدارة أعمال أو خبرة مهنية معادلة.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">الخبرة المطلوبة</span></h3><ul><li><p ><span lang="ar" dir="rtl">أكثر من 12 سنة خبرة في البيانات أو التحليلات أو إدارة المعلومات المؤسسية.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة مثبتة في إدارة عدة مجالات بيانات وليس مجال واحد فقط.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في قيادة فرق متخصصة والتأثير على أصحاب المصلحة على مستوى عالٍ.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المهارات الأساسية</span></h3><ul><li><p ><span lang="ar" dir="rtl">إدارة محفظة بيانات ومنتجات على مستوى المؤسسة.</span></p></li><li><p ><span lang="ar" dir="rtl">حوكمة البيانات ونماذج التشغيل المؤسسية.</span></p></li><li><p ><span lang="ar" dir="rtl">مواءمة المؤشرات والأهداف عبر مجالات متعددة.</span></p></li><li><p ><span lang="ar" dir="rtl">إدارة أصحاب المصلحة على المستويات التقنية والإدارية العليا.</span></p></li><li><p ><span lang="ar" dir="rtl">تحويل الاستراتيجية إلى تنفيذ منسق عبر عدة فرق.</span></p></li></ul>

<h2 ><span lang="ar" dir="rtl">اعلان شركة معادن عن وظيفة&nbsp;أخصائي رئيسي علوم البيانات والتحليلات</span></h2><h3 ><span lang="ar" dir="rtl">وصف الوظيفة</span></h3><p ><span lang="ar" dir="rtl">يعمل أخصائي رئيسي علوم البيانات والتحليلات كقائد تقني وممارس أول، حيث يقود تطوير ونشر وتوسيع حلول التعلم الآلي (Machine Learning) والذكاء الاصطناعي (AI) والتحليلات المتقدمة عبر شركة معادن.</span></p><p ><span lang="ar" dir="rtl">يضمن الدور تصميم منتجات التحليلات والتحقق منها وتشغيلها على نطاق واسع وإدارتها واعتمادها، بما يحقق قيمة قابلة للقياس عبر التعدين والمعالجة والعمليات ووظائف المؤسسة.</span></p><p ><span lang="ar" dir="rtl">يقوم بتحليل البيانات واستخراج الرؤى وبناء النماذج التنبؤية لمساعدة المؤسسات على اتخاذ قرارات أفضل وحل المشكلات المعقدة. من خلال دمج الإحصاء وعلوم الحاسب واستراتيجية الأعمال، يعمل على تحليل البيانات وبناء نماذج تدعم تحسين العمليات وصناعة القرار طويل المدى.</span></p><h3 ><span lang="ar" dir="rtl">المهام والمسؤوليات الرئيسية</span></h3><h4 ><span lang="ar" dir="rtl">قيادة دورة حياة حلول علوم البيانات</span></h4><ul><li><p ><span lang="ar" dir="rtl">تطوير وتنفيذ وصيانة قواعد البيانات وأنظمة جمع البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">إدارة دورة حياة مشاريع الذكاء الاصطناعي والتعلم الآلي من تحديد المشكلة حتى التشغيل.</span></p></li><li><p ><span lang="ar" dir="rtl">تسليم نماذج قابلة للتوسع والتشغيل مع الالتزام بحوكمة البيانات ومعايير الذكاء الاصطناعي.</span></p></li><li><p ><span lang="ar" dir="rtl">إجراء التحليل الإحصائي لاستخراج الرؤى من البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">تطبيق تقنيات التنقيب عن البيانات لاكتشاف الأنماط والاتجاهات.</span></p></li><li><p ><span lang="ar" dir="rtl">بناء نماذج تنبؤية وخوارزميات تعلم آلي للتنبؤ بالنتائج المستقبلية.</span></p></li><li><p ><span lang="ar" dir="rtl">إنشاء تصورات وتقارير بيانات واضحة لعرض النتائج.</span></p></li><li><p ><span lang="ar" dir="rtl">العمل مع الفرق متعددة التخصصات لفهم احتياجات العمل وتقديم حلول قائمة على البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">بناء وإدارة خطوط بيانات موثوقة بالتعاون مع فرق هندسة البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان أمن البيانات والامتثال للأنظمة واللوائح.</span></p></li><li><p ><span lang="ar" dir="rtl">قيادة التجارب وتحسين النماذج وإعادة تدريبها بشكل مستمر.</span></p></li></ul><h4 ><span lang="ar" dir="rtl">تحويل احتياجات الأعمال إلى حلول ذكاء اصطناعي</span></h4><ul><li><p ><span lang="ar" dir="rtl">تطوير أطر عمل تجعل علوم البيانات قابلة للتطبيق على نطاق واسع داخل المؤسسة.</span></p></li><li><p ><span lang="ar" dir="rtl">التعاون مع أصحاب المصلحة لتحديد فرص القيمة وتحويلها إلى حالات استخدام.</span></p></li><li><p ><span lang="ar" dir="rtl">تحديد الفرضيات ومؤشرات الأداء ومعايير النجاح وخطط الحلول.</span></p></li></ul><h4 ><span lang="ar" dir="rtl">تشغيل نماذج الذكاء الاصطناعي (MLOps)</span></h4><ul><li><p ><span lang="ar" dir="rtl">دمج النماذج في الأنظمة التشغيلية والمنصات المؤسسية.</span></p></li><li><p ><span lang="ar" dir="rtl">تحديد معايير النشر والاختبار والمراقبة وإدارة دورة حياة النماذج.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان تكامل النماذج مع المنصات الرقمية والأنظمة التشغيلية.</span></p></li><li><p ><span lang="ar" dir="rtl">استخدام تقنيات التعلم الآلي والتحسين والرؤية الحاسوبية لتحسين الأداء.</span></p></li></ul><h4 ><span lang="ar" dir="rtl">حوكمة الذكاء الاصطناعي والجودة</span></h4><ul><li><p ><span lang="ar" dir="rtl">ضمان الالتزام بأطر الذكاء الاصطناعي المسؤول وحوكمة البيانات.</span></p></li><li><p ><span lang="ar" dir="rtl">تعزيز التوثيق وقابلية التتبع والشفافية عبر جميع النماذج.</span></p></li><li><p ><span lang="ar" dir="rtl">ضمان قابلية التفسير والمراجعة للنماذج التشغيلية.</span></p></li></ul><h4 ><span lang="ar" dir="rtl">التواصل وتحقيق القيمة</span></h4><ul><li><p ><span lang="ar" dir="rtl">عرض النتائج والرؤى باستخدام أسلوب سردي واضح ومؤثر.</span></p></li><li><p ><span lang="ar" dir="rtl">قياس القيمة المحققة ومؤشرات التبني والأثر التشغيلي.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المؤهلات</span></h3><ul><li><p ><span lang="ar" dir="rtl">بكالوريوس في علوم الحاسب، علوم البيانات، الهندسة، الرياضيات أو تخصص ذي صلة.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">الخبرة المطلوبة</span></h3><ul><li><p ><span lang="ar" dir="rtl">خبرة من 8 إلى 10 سنوات في علوم البيانات أو التحليلات المتقدمة.</span></p></li><li><p ><span lang="ar" dir="rtl">يفضل خبرة في القطاعات الصناعية أو التعدين أو الأصول الثقيلة.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة لا تقل عن سنتين في قيادة أو توجيه فرق تحليل البيانات.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المهارات التقنية</span></h3><ul><li><p ><span lang="ar" dir="rtl">خبرة في TensorFlow وPyTorch ومنصات Azure وAWS.</span></p></li><li><p ><span lang="ar" dir="rtl">إتقان SQL ونمذجة البيانات والعمل مع فرق الهندسة.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في النماذج التنبؤية وسلاسل الزمن والتحسين.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في حلول الذكاء التوليدي وتطبيقات الوكلاء الذكيين (AI Agents).</span></p></li></ul><h3 ><span lang="ar" dir="rtl">البنية التحتية والتقنيات المفضلة</span></h3><ul><li><p ><span lang="ar" dir="rtl">تصميم خطوط بيانات عبر بيئات IT وOT.</span></p></li><li><p ><span lang="ar" dir="rtl">التعامل مع البيانات اللحظية وبيانات الحساسات.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في MLOps وإدارة دورة حياة النماذج.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في Azure Data Platform وDatabricks وMicrosoft AI Factory.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">مؤشرات الأداء</span></h3><ul><li><p ><span lang="ar" dir="rtl">دقة وموثوقية النماذج واستقرارها.</span></p></li><li><p ><span lang="ar" dir="rtl">القيمة التجارية والأثر التشغيلي.</span></p></li><li><p ><span lang="ar" dir="rtl">سرعة التطوير والنشر.</span></p></li><li><p ><span lang="ar" dir="rtl">الالتزام بالحوكمة وجودة البيانات.</span></p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a detail-oriented and reliable Data Entry Clerk to join our operations team. This role is ideal for individuals who are accurate, organized, and comfortable working with structured digital tasks in a remote environment.</p><p>You will be responsible for maintaining high-quality data records, ensuring accuracy, and supporting smooth day-to-day operations through efficient data handling.</p><p>Responsibilities</p><ul><li><p>Enter, update, and maintain data across company systems and databases accurately.</p></li><li><p>Review information for errors, inconsistencies, or missing details and correct them when required.</p></li><li><p>Organize and prepare data for reporting and operational use.</p></li><li><p>Ensure confidentiality and proper handling of sensitive information.</p></li><li><p>Complete assigned daily and weekly tasks within deadlines while maintaining accuracy.</p></li><li><p>Support basic document formatting and data organization using Microsoft Word and similar tools.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Previous experience in data entry, administration, or similar roles is an advantage.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Key Responsibilities</p><ul><li>Upload and manage content in CMS platforms efficiently.</li><li>Resize, compress, and prepare images for web use.</li><li>Execute minor design updates to enhance the visual appeal of content.</li><li>Navigate various web tools and software with ease.</li><li>Collaborate with event operations for event preparation and updates.</li><li>Liaise with marketing and product departments to implement their requests effectively.</li><li>Review web and app content regularly to ensure all information is up to date and accurate.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor Degree preferably in Computer Science . Proficiency in content management systems and web tools with two years of experience at least. Strong attention to detail and accuracy. Excellent communication skills to interact with multiple departments. Ability to multitask and prioritize tasks effectively. Basic understanding of design principles is a plus. Prior experience in data entry or content management roles is preferred.</p><p></p></section>

<h3 >About 2P Perfect Presentation and the Opportunity</h3> <p >Since 2004, 2P Perfect Presentation has been a prominent provider of integrated technology solutions in Saudi Arabia's ICT landscape, supporting organizations in digital transformation and operational efficiency. We are offering a Tamheer training opportunity for a <strong >Data Entry Supervisor</strong> within our Human Resources Department in Riyadh, Saudi Arabia. This internship is designed for diploma graduates who are interested in starting their professional careers.</p> <h3 >Role Overview</h3> <p >The Data Entry Supervisor trainee will gain practical experience in HR data management, employee records, documentation, and administrative operations. The role involves working closely with the Human Resources team to maintain accurate employee information, organize HR documents, update internal systems, and support the department’s daily administrative activities. This position is ideal for individuals seeking to develop foundational skills in a professional HR environment.</p> <h3 >Key Responsibilities</h3> <ul > <li >Enter and update employee information accurately in HR systems and databases.</li> <li >Review data and documents to ensure accuracy and completeness.</li> <li >Maintain organized and up-to-date employee files and HR records.</li> <li >Support the preparation, classification, and archiving of HR documents.</li> <li >Verify entered information and correct any identified errors or inconsistencies.</li> <li >Assist in preparing HR reports, spreadsheets, and data summaries.</li> <li >Track missing information and coordinate with relevant team members to complete records.</li> <li >Maintain confidentiality when handling employee and company information.</li> <li >Support the HR team with daily administrative and data-related activities.</li> <li >Organize electronic and physical files in accordance with internal procedures.</li> <li >Assist in improving the accuracy and quality of HR records.</li> <li >Complete assigned tasks within required timelines.</li> <li >Follow the company’s data-protection and confidentiality procedures.</li> <li >Collaborate effectively with members of the Human Resources team.</li> </ul> <h3 >Qualifications and Requirements</h3> <ul > <li >Diploma qualification.</li> <li >Must meet the eligibility requirements of the Tamheer Program.</li> <li >Good knowledge of Microsoft Office applications, particularly Microsoft Excel.</li> <li >Strong attention to detail and commitment to accuracy.</li> <li >Good organizational and time-management skills.</li> <li >Ability to handle confidential information professionally.</li> <li >Good verbal and written communication skills.</li> <li >Ability to work effectively independently and as part of a team.</li> <li >Willingness to learn and develop in a professional Human Resources environment.</li> </ul> <h3 >Candidate Profile</h3> <p >We are seeking an organized and detail-oriented graduate who values accuracy, confidentiality, and professionalism. The ideal candidate will be eager to learn and contribute to the Human Resources team, demonstrating a proactive approach to data management and administrative support within a dynamic environment.</p> <h3 >Location and Work Type</h3> <p >This is an <strong >internship (Tamheer training opportunity)</strong> requiring full-time presence <strong >on-site in Riyadh, Saudi Arabia</strong>. The role offers 0-1 years of experience, suitable for recent diploma graduates.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Responsibilities:<br><ul> <li>Enter and update data in company systems.</li> <li>Review and verify data accuracy.</li> <li>Maintain and organize records and files.</li> <li>Prepare reports and retrieve data when needed.</li></ul><br>Qualifications:<br><ul> <li>Diploma or Bachelor’s degree in a related field.</li> <li>Proficiency in Microsoft Office applications.</li> <li>Good data entry and organizational skills.</li></ul> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Basic data entry <br>Organizing files <br>Managing schedules and meetings </p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Healthcare / Medical Data Analyst responsible for analyzing healthcare and medical datasets to generate actionable insights, develop dashboards, support performance monitoring, and improve clinical and operational decision-making.</p><p>The role requires close collaboration with clinical, policy, and analytics teams.</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>What You ll Do</strong></p> <p><strong>Operations &amp; Team Support</strong></p> <ul> <li>Provide day-to-day administrative and operational support to internal teams</li> <li>Assist with scheduling, calendar coordination, and meeting preparation</li> <li>Support internal handoffs, documentation, and task follow-ups to ensure alignment</li> <li>Help maintain organized workflows and standardized processes across teams</li> </ul> <p><strong>Office &amp; Process Coordination</strong></p> <ul> <li>Manage and update internal documents, trackers, and shared resources</li> <li>Support onboarding tasks for new team members, including coordination and documentation</li> <li>Assist with basic reporting, data entry, and record management</li> <li>Identify opportunities to streamline administrative processes and improve efficiency</li> </ul> <p><strong>Communication &amp; Collaboration</strong></p> <ul> <li>Serve as a reliable point of contact for internal requests and operational needs</li> <li>Communicate clearly and professionally across remote teams</li> <li>Coordinate with multiple departments to ensure tasks are completed accurately and on time</li> </ul> <p><strong>Systems &amp; Data Management</strong></p> <ul> <li>Maintain accurate information in internal systems and tools</li> <li>Support data organization, file management, and process tracking</li> <li>Follow established procedures to ensure consistency and compliance</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>This role is ideal for an early-career professional who is detail-oriented, proactive, and eager to learn how modern, remote organizations operate. You ll collaborate cross-functionally, manage operational tasks, and contribute to continuous improvement across administrative and office support functions.</p> <p><strong>About the Ideal Candidate</strong></p> <ul> <li>0 2 years of experience in an administrative, operations, or support role (internships welcome)</li> <li>Strong organizational skills and attention to detail</li> <li>Clear written and verbal communication skills</li> <li>Comfortable working in a remote environment and managing multiple priorities</li> <li>Proactive mindset with a willingness to learn and take initiative</li> <li>Basic experience with productivity tools (Google Workspace, Microsoft Office, or similar)</li> <li>Familiarity with CRM or internal systems is a plus, but not required</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role We're looking for a highly organized and motivated Entry-Level Administrative Professional to support our remote Operations team. In this role, you'll help keep day-to-day business activities running efficiently by providing administrative, operational, and coordination support across multiple departments. This opportunity is ideal for someone beginning their career who enjoys staying organized, solving problems, and working collaboratively in a fast-paced remote environment. You'll gain hands-on experience with business operations while contributing to projects that help teams stay productive and connected.</p><p>Key Responsibilities</p><ul><li>Operations &amp; Administrative Support: Provide daily administrative support to internal teams across the organization. Coordinate calendars, schedule meetings, and assist with meeting preparation. Track action items and support project follow-ups to ensure tasks are completed on time. Maintain organized workflows and help improve operational efficiency.</li><li>Office &amp; Process Coordination: Maintain internal documentation, shared resources, and operational trackers. Assist with onboarding activities, including documentation and team coordination. Perform data entry, record maintenance, and basic reporting tasks. Help identify opportunities to improve administrative processes and streamline workflows.</li><li>Communication &amp; Collaboration: Serve as a dependable point of contact for internal operational requests. Communicate professionally with cross-functional teams in a fully remote environment. Collaborate across departments to ensure projects and administrative tasks are completed accurately and efficiently.</li><li>Systems &amp; Data Management: Maintain accurate information across internal systems and databases. Organize digital files and support document management best practices. Follow established procedures to ensure data accuracy, consistency, and compliance.</li></ul><p>What We Offer</p><ul><li>A fully remote, flexible work environment.</li><li>Opportunities to learn and grow within business operations and cross-functional teams.</li><li>A collaborative and supportive culture focused on professional development.</li><li>Meaningful work that directly contributes to organizational success.</li><li>Competitive compensation and benefits based on experience.</li><li>A stable, team-oriented workplace committed to long-term growth.</li></ul><p>Diversity &amp; Inclusion</p><p>We believe diverse perspectives strengthen our team and drive better outcomes. We are committed to building an inclusive workplace where all employees feel respected, supported, and empowered to succeed. We welcome applications from qualified candidates of all backgrounds and experiences.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>0 - 2 years of administrative, operations, office support, or related experience (internships are welcome).</li><li>Strong organizational skills with exceptional attention to detail.</li><li>Excellent written and verbal communication skills.</li><li>Ability to prioritize multiple tasks while working independently in a remote environment.</li><li>Self-motivated, proactive, and eager to learn.</li><li>Proficiency with Google Workspace, Microsoft Office, or similar productivity software.</li><li>Experience with CRM platforms or other business systems is a plus, but not required.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a motivated Data Intelligence analyst to join our team supporting the B2C business. In this role, you will help translate business questions into data-driven insights, working closely with cross-functional teams to monitor performance and support decision-making through descriptive analysis.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in a STEM field or Business Administration.</li><li>Logically sound with strong problem-solving and analytical thinking abilities.</li><li>Basic to intermediate SQL skills (querying, joins, aggregations).</li><li>Familiarity with visualization tools like Tableau or Power BI is a plus.</li><li>Good communication skills in both English and Arabic.</li><li>Eagerness to learn, attention to detail, and ability to work in a fast-paced environment.</li><li>Fresh graduates are encouraged to apply; prior internship or academic project experience in analytics is a plus.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Entry-Level Administrative Professional Operations &amp; Office Support is an essential part of ensuring smooth and efficient daily business operations. In this role, you will support internal teams through organization, coordination, and execution of administrative processes, enabling teams to stay focused on strategic priorities and impactful work.</p> <p>This opportunity is ideal for an early-career professional who is organized, detail-oriented, and motivated to grow within a modern remote work environment. You ll collaborate across departments, assist with operational initiatives, and help improve internal processes that support overall team success.</p> <p><strong>Key Responsibilities Operations &amp; Administrative Support</strong></p> <ul> <li>Provide day-to-day administrative and operational support to internal teams</li> <li>Coordinate schedules, calendars, and meeting logistics</li> <li>Assist with documentation, task tracking, and cross-functional follow-ups</li> <li>Help maintain organized workflows and consistent operational procedures</li> </ul> <p><strong>Office &amp; Process Coordination</strong></p> <ul> <li>Update and manage internal documents, trackers, and shared resources</li> <li>Support onboarding activities for new team members, including coordination and documentation</li> <li>Assist with data entry, reporting, and records management</li> <li>Contribute ideas to improve administrative workflows and operational efficiency</li> </ul> <p><strong>Communication &amp; Collaboration</strong></p> <ul> <li>Serve as a dependable point of contact for internal operational requests</li> <li>Communicate professionally and effectively within remote teams</li> <li>Collaborate across departments to ensure tasks and projects are completed accurately and on schedule</li> </ul> <p><strong>Systems &amp; Data Management</strong></p> <ul> <li>Maintain accurate information across internal systems and platforms</li> <li>Support file organization, process tracking, and data management tasks</li> <li>Follow established procedures to ensure consistency, accuracy, and compliance</li> </ul> <p><strong>Qualifications</strong></p> <ul> <li>0 2 years of experience in administrative, operations, or support-related roles (internships are welcome)</li> <li>Strong organizational skills with excellent attention to detail</li> <li>Effective written and verbal communication skills</li> <li>Ability to work independently in a remote environment while managing multiple priorities</li> <li>Proactive attitude with a willingness to learn and take initiative</li> <li>Familiarity with productivity tools such as Google Workspace, Microsoft Office, or similar platforms</li> <li>Experience with CRM systems or internal tools is a plus, but not required</li> </ul> <p><strong>What We Offer</strong></p> <ul> <li>Hands-on experience supporting business operations in a collaborative environment</li> <li>Remote-first flexibility that promotes work-life balance</li> <li>Opportunities for professional growth through exposure to operations, systems, and cross-functional collaboration</li> <li>A supportive team culture that values communication, development, and inclusivity</li> <li>Competitive compensation and benefits based on experience</li> <li>Long-term stability within a trusted and growth-focused organization</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>0 2 years of experience in administrative, operations, or support-related roles (internships are welcome)</p> <ul> <li>Strong organizational skills with excellent attention to detail</li> <li>Effective written and verbal communication skills</li> <li>Ability to work independently in a remote environment while managing multiple priorities</li> <li>Proactive attitude with a willingness to learn and take initiative</li> <li>Familiarity with productivity tools such as Google Workspace, Microsoft Office, or similar platforms</li> <li>Experience with CRM systems or internal tools is a plus, but not required</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Role Overview</p><p>The Director of Data Platforms &amp; Intelligence is one of the most strategically significant leadership hires at webook. This role owns and integrates:</p><ul><li>Data Platforms</li><li>Analytics &amp; Insights</li><li>AI Enablement</li><li>Intelligence Products</li><li>Commercial Data Monetisation</li><li>Operational &amp; Executive Decision Intelligence</li></ul><p>This leader transforms webook s data into a revenue-driving, intelligence-generating engine .</p><p>What You ll Own</p><p>Data Platform Strategy &amp; Architecture</p><ul><li>Own the end-to-end data platform strategy aligned with product, engineering, and commercial goals</li><li>Architect scalable batch + streaming pipelines, real-time analytics, ML enablement, and multi-tenant access</li><li>Build on GCP (BigQuery / ClickHouse, Airflow, DBT, ML Ops)</li><li>Ensure resilience during extreme traffic spikes and major events</li></ul><p>Data Reliability &amp; Observability</p><ul><li>Implement full data observability (freshness, anomalies, schema drift, SLAs/SLOs)</li><li>Treat data incidents with production-level severity</li><li>Deliver trusted, always-on data for real-time ops and BI</li></ul><p>Business Intelligence &amp; Decision Intelligence</p><ul><li>Lead executive dashboards, KPI frameworks, forecasting, and operational metrics</li><li>Enable self-service analytics with governed semantic layers</li><li>Partner with Product, Marketing, Commercial, and Operations on proactive insights</li></ul><p>Partner &amp; Promoter Intelligence (Core 2026 Monetisation)</p><ul><li>Design and own data-as-a-product roadmap</li><li>Build promoter dashboards covering live entry &amp; capacity, forecasting, demand analysis, audience insights, market benchmarks, and queue &amp; throughput intelligence</li><li>Work with Commercial on pricing, packaging, and go-to-market</li></ul><p>AI Enablement &amp; Predictive Intelligence</p><ul><li>Build data foundations for AI and ML models</li><li>Support recommendation systems, conversational UX, forecasting, and anomaly detection</li><li>Operationalise models with monitoring and retraining</li></ul><p>Governance, Security &amp; Compliance</p><ul><li>Define policies for data access, retention, and protection</li><li>Ensure PDPL &amp; GDPR compliance in partnership with CISO &amp; DPO</li></ul><p>Leadership &amp; Organisation Building</p><ul><li>Lead Data Engineering, Analytics, BI, and Data Operations teams</li><li>Define org structure, hiring plans, and career ladders</li><li>Act as a core member of the Technology Leadership Team</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>15+ years in data engineering, analytics, BI, architecture, or data leadership</li><li>Proven experience building enterprise-grade data platforms</li><li>Experience commercialising external data or intelligence products</li><li>Deep knowledge of modern stacks (GCP, BigQuery/Snowflake/ClickHouse, streaming, BI tools)</li><li>Strong AI, ML Ops, KPI, and executive reporting expertise</li><li>Strong understanding of PDPL/GDPR</li><li>Excellent executive communication and influence</li></ul><p>Nice to Have</p><ul><li>Experience in ticketing, events, travel, marketplaces, or entertainment tech</li><li>Experience with multi-tenant data products</li><li>Experience delivering market intelligence to enterprise clients</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Architecture &amp; Modeling Specialist with 6 12+ years of experience to design, develop, and govern enterprise data architecture solutions. The ideal candidate will have strong expertise in data modeling methodologies, modern data platforms, data governance, and data integration patterns. This role requires the ability to define scalable data architectures, develop conceptual/logical/physical data models, and enable data-driven transformation initiatives across the organization. Key Responsibilities Design and implement enterprise data architecture strategies aligned with business and technology objectives. Develop conceptual, logical, and physical data models for enterprise applications and analytical platforms. Create and maintain data models using industry-standard modeling tools. Apply data modeling methodologies including dimensional modeling and Data Vault architecture. Design scalable data warehouse and data lake architectures. Define data architecture standards, principles, and best practices. Collaborate with Data Engineers, BI teams, Data Scientists, and business stakeholders to deliver data solutions. Develop and maintain metadata, data lineage, and data governance frameworks. Support data platform modernization initiatives and cloud data transformation programs. Evaluate and recommend data technologies, tools, and architectural approaches. Ensure data quality, consistency, security, and compliance across enterprise data assets. Required Technical Skills Data Modeling &amp; Architecture Tools Hands-on experience with ERwin or ER/Studio for enterprise data modeling. Strong understanding of conceptual, logical, and physical data modeling principles. Experience creating enterprise-level data models and architecture documentation. Data Modeling Methodologies Strong experience with Data Vault or Kimball dimensional modeling methodologies. Understanding of data warehouse design patterns, star schemas, and enterprise analytics models. Cloud &amp; Enterprise Data Platforms Experience designing data architectures on BigQuery or Snowflake . Experience with large-scale enterprise data platforms and modern data warehouse architectures. Strong understanding of cloud data architecture principles. Data Warehousing Technologies Experience with Teradata and enterprise-scale data warehouse environments. Knowledge of performance optimization, partitioning, and scalable data storage strategies. Data Governance &amp; Metadata Management Hands-on experience with Collibra or Alation for data governance, cataloging, metadata management, and data stewardship. Experience defining data lineage, business glossaries, and governance frameworks. Data Integration &amp; Change Data Capture Experience with CDC (Change Data Capture) tools and real-time data integration patterns. Understanding of data replication, streaming, and integration architectures. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. 6 12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management. Strong understanding of enterprise architecture principles and data strategy. Excellent analytical, problem-solving, and communication skills. Experience working with cross-functional teams in Agile environments. Preferred Skills Experience designing cloud-native data architectures. Knowledge of modern data lakehouse architectures. Familiarity with data governance frameworks and regulatory requirements. Experience with SQL, ETL/ELT concepts, and data integration frameworks. Experience supporting enterprise digital transformation initiatives. Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus. Key Technology Stack Data Modeling Tools: ERwin or ER/Studio Modeling Methodologies: Data Vault or Kimball Cloud Data Platforms: BigQuery or Snowflake Enterprise Data Warehouse: Teradata Data Governance: Collibra or Alation Data Integration: CDC Tools Architecture Practices: Enterprise Data Architecture and Data Governance and Metadata Management and Data Lineage Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. 6 12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management. Strong understanding of enterprise architecture principles and data strategy. Excellent analytical, problem-solving, and communication skills. Experience working with cross-functional teams in Agile environments. Preferred Skills Experience designing cloud-native data architectures. Knowledge of modern data lakehouse architectures. Familiarity with data governance frameworks and regulatory requirements. Experience with SQL, ETL/ELT concepts, and data integration frameworks. Experience supporting enterprise digital transformation initiatives. Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Governance &amp; Management Specialist with 6 12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies. Key Responsibilities Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives. Establish data governance policies, standards, processes, and operating models. Define data ownership, stewardship models, and governance responsibilities across business and technology teams. Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data. Manage metadata, data cataloging, lineage, and business glossary initiatives. Support Master Data Management (MDM) strategies and implementation. Define and implement data classification and data privacy frameworks. Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance. Monitor governance KPIs, data quality metrics, and compliance requirements. Drive adoption of governance practices across enterprise data initiatives. Support regulatory compliance and data protection requirements. Required Technical &amp; Functional Skills Data Governance Frameworks Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles. Experience designing and implementing enterprise data governance operating models. Knowledge of data stewardship, ownership, policies, standards, and governance processes. Data Governance Platforms Hands-on experience with Collibra or Alation for: Data catalog management Metadata management Business glossary creation Data lineage tracking Governance workflow management Data Quality Management Experience with Informatica Data Quality (DQ) or comparable data quality tools. Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes. Master Data Management Experience implementing Master Data Management (MDM) frameworks and processes. Understanding of master data domains, golden records, and data synchronization approaches. Data Classification &amp; Privacy Experience with Data Classification and Data Privacy frameworks. Knowledge of sensitive data identification, protection controls, and compliance requirements. Understanding of privacy regulations and enterprise data protection practices. Preferred Skills Experience supporting large-scale data transformation initiatives. Knowledge of cloud data platforms and modern data ecosystems. Familiarity with data security, risk management, and compliance frameworks. Experience establishing Data Governance Centers of Excellence (CoE). Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus. Key Technology &amp; Capability Stack Data Governance Frameworks: DAMA-DMBOK or NDMO Data Governance Platforms: Collibra or Alation Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage Data Protection: Data Classification and Data Privacy and Compliance Management Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field. 6 12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management. Strong understanding of enterprise data architecture and governance practices. Excellent communication, stakeholder management, and collaboration skills. Experience working with cross-functional teams in enterprise environments.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Data Developer to design, develop, and optimize enterprise data platforms, data warehouses, analytics solutions, and business intelligence applications. The ideal candidate will have expertise in data engineering, database development, reporting, cloud data platforms, and AI-enabled analytics to support enterprise decision-making and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and enterprise data solutions.</li><li>Build and optimize data warehouses, data marts, and analytical data models.</li><li>Develop interactive dashboards, reports, and visualizations for business stakeholders.</li><li>Design, optimize, and maintain relational and cloud-based databases.</li><li>Develop SQL queries, stored procedures, and database objects for high-performance data processing.</li><li>Implement ETL/ELT processes and data integration workflows.</li><li>Collaborate with business analysts, data engineers, architects, and application teams to deliver data-driven solutions.</li><li>Ensure data quality, security, governance, and performance across enterprise platforms.</li><li>Troubleshoot and optimize database performance and reporting solutions.</li><li>Prepare technical documentation and follow enterprise data management best practices.</li></ul><p>Must-Have Skills</p><ul><li>Experience with Snowflake or comparable cloud data warehouse platforms.</li><li>Experience with Power BI OR Tableau for business intelligence and data visualization.</li><li>Strong experience with PostgreSQL OR Microsoft SQL Server .</li><li>Experience with Redis or comparable in-memory caching technologies.</li><li>Experience with Dataiku DSS OR Vertex AI for advanced analytics, AI, and data science workflows.</li><li>Strong knowledge of SQL , database design, and query optimization.</li><li>Experience developing ETL/ELT pipelines and enterprise data integration solutions.</li><li>Strong understanding of data modeling, data warehousing, and analytics concepts.</li></ul><p>Good to Have</p><ul><li>Experience with Azure Synapse OR Google BigQuery OR Amazon Redshift .</li><li>Experience with Databricks OR Apache Spark .</li><li>Experience with Apache Airflow OR Azure Data Factory OR dbt .</li><li>Knowledge of Python for data engineering and automation.</li><li>Experience with Git , CI/CD pipelines, and DevOps practices.</li><li>Understanding of data governance, metadata management, and data quality frameworks.</li><li>Experience with cloud platforms such as Microsoft Azure , AWS , or Google Cloud Platform (GCP) .</li></ul><p>Qualifications</p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li></ul><p>Preferred Skills</p><ul><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul><p></p></section>