3 months Contract Hybrid - 2 days working on-site (Central London) Day rate - £675-£720 per day outside IR35 Stanton House is partnering with a client to identify an experienced Senior AI Data Product Manager to lead the evolution and productionisation of strategic AI-driven products within a growing enterprise AI programme. This role requires someone who can bridge business strategy, product thinking, data, and emerging AI capabilities to ensure AI solutions deliver measurable business outcomes. The successful candidate will take ownership of an existing AI product that is approaching User Acceptance Testing (UAT), helping shape its future direction, maximise business value, and support its transition into a sustainable business capability. This is a highly visible role requiring strong stakeholder engagement, commercial awareness, strategic thinking, and the ability to drive progress through ambiguity and complex organisational challenges. Own the product vision, roadmap and evolution of an AI-based data product. Understand business pain points and identify opportunities to create value through AI and data. Work through data quality and validation challenges affecting product performance. Support the transition from project delivery into BAU operations and secure ongoing investment. Strong Data Product Management experience, ideally within AI, analytics or machine learning products. Good understanding of AI, ML and emerging Agentic AI concepts and their business applications. Experience working with data engineers, delivery teams and business users. Strong commercial and strategic mindset with a focus on measurable business outcomes. Experience dealing with data quality, governance and adoption challenges. If you meet the above criteria and are available for an interim assignment commencing in September, please apply below.
Senior Product Data Manager in City of London employer: Stanton House
Stanton House is an exceptional employer, offering a dynamic work environment in the heart of Central London where innovation thrives. With a strong focus on employee growth, the company provides opportunities for professional development alongside competitive benefits, including equity options. The collaborative culture within the Customer Success team ensures that every Data Scientist can make a meaningful impact while enjoying the vibrant atmosphere of London.
