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Working at the intersection of quantitative modelling, software engineering and investment analytics, you will lead the continued evolution of a proprietary in-house platform while remaining deeply involved in architecture, coding and model development.
You will work closely with business leaders to translate requirements into Power BI insights, Power Apps and Power Automate solutions, and a clean, structured data warehouse that supports multiple tools and vendors.You will own existing solutions while designing and delivering new, production‑ready capabilities.
This is a hands-on Oracle Fusion role for someone who personally configures, builds, integrates and supports enterprise applications. It is not suitable for candidates whose recent experience has been primarily project management, vendor management or functional consulting. You will be the single technical owner of the Oracle Fusion estate, leading solution design and delivery across Financials while taking ownership of HCM, Payroll and EPM applications.
Lead the end-to-end development and launch of a digital, AI-powered on-demand staffing platform, transforming a traditional manpower model into a scalable product. Own the product lifecycle from vision to revenue, working closely with developers and leadership to deliver a seamless, automated customer and candidate experience.
The Lead - Enterprise AI will spearhead the implementation of AI-driven solutions and strategies within the fast-moving consumer goods (FM-CG) sector, ensuring alignment with business objectives. Based in Riyadh, this role will focus on leveraging emerging technologies to drive innovation and operational excellence.This role sits at the intersection of strategy, technology, and operations, with a strong emphasis on hands-on execution and real-world impact.
This role leads the definition and governance of enterprise architecture across AI, data, cloud, and digital platforms, ensuring technology foundations are secure, scalable, and future-ready.You will work closely with senior leaders, product, and engineering teams to align architecture decisions with business outcomes while enabling faster delivery of AI-driven and digital initiatives
This is a hands on combining platform architecture, cloud and identity foundations, AI agent runtime environments, and enterprise technology ownership, delivered through a lean model of AI agents and specialist vendors rather than a large internal team.
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