Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering / Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States) on occasions. We need someone who has come from a Data-Engineering First background with a hardened skillset in Microsoft Stack Technologies (C# .NET Core) who has then transitioned into Product Ownership. We need someone highly analytical who can understand large Data Sets, Data Bricks and is able to bring Proof of Concepts to the table and help with the execution. The platform primarily serves two key personas: * Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and * Assurance professionals, who use the analysers to enhance audit quality and client service (this can be taught – the mentality is development and analytical mindset first, audit specific knowledge second, which you can learn). This being said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details… Experience required: * Data FIRST mentality. You must have been working within Data Engineering before moving into Product Ownership * Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance * Development Framework experience within Microsoft Stack Technologies * Experience with implementing and optimising scalable cloud infrastructure is highly valued * Backlog management: Demonstrated expertise in maintaining and prioritizing product backlogs, writing detailed user stories, and collaborating with development teams to deliver sprint goals * Agile product ownership: Experience in SAFe or similar agile frameworks, including daily scrum leadership and sprint planning * Cross-team collaboration: Effective working across engineering, analytics, and business teams to ensure seamless execution * KPI management: Ability to track, analyze, and interpret KPIs to guide product improvements and communicate results to stakeholders * Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. * Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership * Collaboration and flexibility: Experience working with distributed teams in dynamic, fast-paced environments * Innovation mindset: Passion for leveraging advanced analytics, AI, and cloud technologies to deliver cutting-edge solutions * Nice to have – experience working within an Accountancy firm, like a Big 4 player (for instance) This is a great opportunity and salary is dependent upon experience. Apply now for more details