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Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure
Job summary
A leading recruitment agency is looking for a Technology Product Owner to join a global Professional Services firm. The role focuses on AI Data Analytics within a remote setting, with a need for occasional travel. Ideal candidates should have transitioned from development into product ownership, possess solid skills in Microsoft Stack, and be comfortable managing complex, data-heavy products. Strong communication skills and an analytical mindset are essential for success in this role.
Qualifications
- Transitioned from a Development background into Product Ownership.
- Familiarity with Azure services for data engineering and analytics.
- Proven experience in maintaining and prioritizing product backlogs.
Responsibilities
- Lead product ownership in a remote-first setting, requiring occasional travel.
- Collaborate with development teams to deliver on sprint goals.
- Track and report on KPIs for continuous product improvement.
Skills
Tools
Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Remote with Travel
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 Development 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…
- 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 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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.