Fintech Product Owner: Enterprise Data & AI MVPs

Landytech; Greater London; Hybride; GBP 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Hybrid work model (2 days in London)

Stock options

Bonus & commission schemes

Private medical insurance with Bupa

Pension Plan with NEST

Cycle to Work Scheme and gym allowance

Office food & drinks, regular socials

Résumé du poste

Landytech is seeking a data-driven Product Owner in London to guide our Enterprise Data Management initiatives. You will shape the product roadmap, translate complex financial data into usable features, and work closely with design, engineering, and marketing to deliver AI-enabled prototypes.

The role emphasizes data architecture, KPI tracking, and stakeholder collaboration. Hybrid work includes two days in our London office.

Qualifications

• 3+ years as fintech Product Owner
• Experience translating financial data needs into intuitive UX
• Willingness to apply AI to product design and prototyping

Responsabilités

• Develop the team’s product roadmap and prioritise backlog aligning with strategic objectives
• Translate complex financial data needs into intuitive user experiences with designers and engineers
• Build prototypes using AI coding tools and test with users to validate product-market fit
• Track adoption, usage, and KPIs to measure team outcomes
• Define requirements for enterprise data management workflows and data architecture
• Collaborate with engineers to refine prototypes and inform implementation decisions
• Coordinate priorities across client, implementation, engineering, marketing, and sales teams

Connaissances

Fintech Product Owner

Financial data

SQL

AI tooling

Cross-functional

Formation

Bachelor's degree (Finance/CS/Math)

Outils

Claude Code

Codex

Cursor

Description du poste

Landytech is seeking a data-driven Product Owner in London to guide our Enterprise Data Management initiatives. You will shape the product roadmap, translate complex financial data into usable features, and work closely with design, engineering, and marketing to deliver AI-enabled prototypes.

The role emphasizes data architecture, KPI tracking, and stakeholder collaboration. Hybrid work includes two days in our London office.