Audit Technology Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Audit Technology Product Owner (Technology and Business) 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 expertise on the Business and Technical side of Audit and you will have worked with KPMG Clara, EY Canvas, PwC Aura or Deloitte Omnia in the past. We can look at people outside of the Big 4 too (BDO Catalyst, Grant Thornton Leap, RSM, Forvis Mazars etc), who have been significantly involved in Audit Process tools from a Product or Project / Programme perspective. We need someone who is confident on the business side with the ability to get the best out of Audit Teams speaking Audit language! 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 being said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: 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 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. This is a great opportunity and salary is dependent upon experience. Apply now for more details