Senior Product Manager (AI / ML)

Cedar Recruitment; Egham; Hybrid; GBP 90,000 - 100,000; Full time

Job summary

A global leader in innovative services is looking for a Senior Data Product Manager to shape and implement AI-driven data products. This high-impact role involves defining product strategies and managing the entire product lifecycle in a collaborative, cross-functional environment. The ideal candidate will have deep expertise in AI and machine learning and the ability to deliver measurable business value across various global markets. This position offers a hybrid work model, based in Egham.

Qualifications

• Experience in defining product strategies and managing product lifecycles.
• Proven ability to drive adoption of data and AI products.
• Strong analytical skills and ability to partner with technical teams.

Responsibilities

• Define and lead product vision and strategy for AI-driven products.
• Manage the product lifecycle from ideation to adoption.
• Collaborate across teams to integrate AI capabilities.

Skills

AI and machine learning expertise

Product lifecycle management

Cross-functional collaboration

Job description

Senior Data Product Manager - AI / ML

Egham, Surrey (Hybrid - 2 days in office)

Salary: £90,000 - £100,000

Our client, a global leader in customer-focused services, is seeking a Senior Data Product Manager to take a pivotal role in shaping and delivering innovative, AI-driven and predictive data products that enhance decision‑making and operational excellence across international markets.

The Opportunity

This is a high-impact role where you'll define and lead the vision, development, and lifecycle of data and AI products used by cross‑functional teams‑from finance to technical operations‑across the USA, Europe, and other regions. Your mission: drive adoption, deliver measurable business value, and champion data product excellence through advanced analytics and machine learning innovation.

Key Responsibilities

• Define product strategies and roadmaps aligned with global business challenges and opportunities in AI, machine learning, and predictive analytics.
• Manage the full product lifecycle using data PLM frameworks—from ideation through to adoption and BAU transition.
• Partner with data science, engineering, and business teams to build and scale predictive models and AI capabilities into core products.
• Lead cross‑functional collaboration across digital, commercial, and customer teams.

Develop business cases and manage…