Technology Product Owner, AI, Microsoft Stack, Data Bricks, Remote, Greater London

Technology Product Owner, AI, Microsoft Stack, Data Bricks, Remote

23 Days Old

Technology Product Owner – AI & Data Analytics Technology Product Owner required to join a global Professional Services business. This is a practical remote role based in Central London, with occasional travel to London, Europe, and the United States. 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 role is best suited for data‑heavy product owners who have managed complex, global products. Please read on for more details. Experience Required

Development FIRST mentality. You must have been a developer 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. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise in maintaining and prioritising 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, analyse, 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.

This is a great opportunity and salary is dependent upon experience. #J-18808-Ljbffr

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Location:: Greater London
Job Type:: FullTime

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