Senior Manager - Advanced Analytics (COR - 623)

Qiddiya Investment Company is looking for a highly skilled and innovative Senior Manager - Advanced Analytics to join our team. This role is critical in driving data-driven decision-making across the organization by leveraging advanced analytics techniques to provide insights and enhance business strategies. The Senior Manager will lead a team of analysts and data scientists to develop predictive models, conduct complex data analyses, and deliver actionable insights that support our vision of creating a world-class entertainment destination. The successful candidate will collaborate with various departments to identify analytical needs, develop advanced analytics solutions, and communicate findings effectively to stakeholders at all levels. Your expertise will significantly impact our strategic initiatives and overall business performance. Responsibilities Responsible for overseeing development and planning activities for the advanced analytics team. Collaborate with business stakeholders to propose data & AI use case and get required funding, plan resources and budget for implementation. Manage the demand and delivery for use cases, plan realistic timelines and prioritize items in pipeline and backlog ensuring transparency with stakeholders. Manage use cases delivery with different vendors. Work in close collaboration with data engineering & architecture and BI service team to ensure data availability. Work in close collaboration with data strategy and governance team in defining and refreshing data and analytics strategy. Ensure that advanced analytics projects align with organizational goals. Ensure utilization of data analytics platform and visualization tools to deliver insights to stakeholders. Collect and report progress metrics and obstacles/delays on a regular basis. Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence for efficient data analysis Identify best practices in analytical modeling and applying it to the use cases development that support business objectives. Advises product teams on new products, features or updates through data-based recommendations. keep up-to-date with latest trends. Deep understanding of quantitative analysis, predictive & prescriptive models. Mastery of advanced analytic tools. Excellent Communication, Team Management, Stakeholder and Project Management, Critical Thinking, and analytical skills. Requirements Master’s degree or PhD in computer science, statistics, economics, business analytics or related fields. Minimum of 9+ years of relevant experience in Data Science roles. Certified Analytics Professional (CAP) is recommended. Certified Google Cloud ML engineer is recommended. Or other Data Science certifications.