Product Manager
4 weeks ago
The Product Manager is responsible for supporting on developing our Analytics Delivery and Insights product vision and roadmap, in close collaboration with our functional leaders, data scientists, data engineers and application developers who are spearheading the Advanced Analytics transformation across Company The role holder is also responsible for aligning the project sponsor and the leadership team with the value offered with the solution, and leading a team of Analytics Business Partners across countries to implemenent the solutions and drive value.
Minimum Qualifications/education:
Bachelor’s Degree in an IT-related field or Computer Engineering Master’s Degree in a similar field is preferredMinimum experience:
8+ years in a managerial Product Management role in an international environment; creating and building complex analyses and evaluation tools for assessing/tracking performance and learning associated user behaviors with the ability to demonstrate value and track record 2+ years in the retail/FMCG business and GCC experience is preferred Should have worked on Customer Analytics, Inventory Management or Assortmenet or Promotion or pricing solution or Work force optimizationSkills:
Strong leadership and people management capabilities with proven ability to develop strategic relationships with senior leadership stakeholders
Expert in developing analytics solutions and products using machine learning and statistics Know-how of various programming languages is a must, such as R/SAS/Python/SQL/BigQuery, etc. Good understanding ofmultiple algorithm/modeling techniques like Logistic Regression, Linear Regression, Clustering, Decision Trees, Randfom Forest, SVM, KNN etc. Exposed to time series forecasting, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Sound know-how of Azure, Spark, and git-Basic understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc.)Minimum Qualifications/education:
Bachelor’s Degree in an IT-related field or Computer Engineering Master’s Degree in a similar field is preferredMinimum experience:
8+ years in a managerial Product Management role in an international environment; creating and building complex analyses and evaluation tools for assessing/tracking performance and learning associated user behaviors with the ability to demonstrate value and track record 2+ years in the retail/FMCG business and GCC experience is preferred Should have worked on Customer Analytics, Inventory Management or Assortmenet or Promotion or pricing solution or Work force optimizationSkills:
Strong leadership and people management capabilities with proven ability to develop strategic relationships with senior leadership stakeholders Expert in developing analytics solutions and products using machine learning and statistics Know-how of various programming languages is a must, such as R/SAS/Python/SQL/BigQuery, etc. Good understanding ofmultiple algorithm/modeling techniques like Logistic Regression, Linear Regression, Clustering, Decision Trees, Randfom Forest, SVM, KNN etc. Exposed to time series forecasting, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Sound know-how of Azure, Spark, and git-Basic understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc.) Understanding of building machine learning models on cloud services (Azure, AWS, GC etc.) Knowledge of data visualization software and packages (Prower BI, matplotlib, d3, highcharts) Collaborative, pragmatic and proactive problem solver Proven ability to see the big picture with attention to details, translate data into meaningful analysis and insights, solid understanding of the analytics ecosystem and value chain from both a business and a technical standpoint Ability to work independently and in cross-functional teams Strong business communication and presentation skills with proven experience managing executive-level communications Excellent organizational skills with the ability to prioritize workload Strong English language skills (Speaking, Reading and Writing) with exceptional business writing, Arabic is a plus Proficient in MS Office (Excel, Word, PowerPoint)
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