2 of 2 Data Strategy Jobs in South Wales

financial products. We want to make the world a better place and change people's lives through Monzo. As we continue to scale, we're looking for a Product Data Science Manager to lead one of our key product areas for Growth. Responsibilities Lead one of Monzo's growth-focused product data science teams, partnering with Product Managers … engineers and control owners in an agile environment. Develop and own the product data strategy and drive data-informed decision making across the team and product area. Build and improve data products and analytics to support current and future roadmaps. Provide hands-on leadership with a data-driven, strategic mindset to inspire the team and … customers. Grow the team by hiring new members and supporting their personal development; manage Data Scientists and Data Analysts and collaborate with Analytics Engineers. Champion real-time analytics and data-driven decision making across the company; ensure self-serve analytics via Looker covers 90% of day-to-day decisions. Liaise with marketing, product and engineering managers to More ❯

VP of AI/ML and Data ?? UK - Cardiff, London or Remote (with occasional travel) ?? £100,000 - £200,000 total package What You'll Do: Define and lead the company-wide AI and data strategy , reporting directly to the CTO. Build and lead a new AI/ML function , while shaping the existing data team. Establish … a modern data platform using Fabric, Databricks or similar technologies to power predictive analytics and automation. Deliver the business's first AI-powered products and tools , such as intelligent search, document OCR and insight-driven reporting. Partner with product and engineering to turn customer requirements into scalable AI solutions. Champion an AI-first culture , embedding automation and data … the organisation. What You'll Bring: Proven experience delivering AI/ML capabilities in production , ideally within a SaaS or enterprise setting. Technical depth across machine learning, MLOps, and data engineering . Experience building and scaling teams in data and AI disciplines. Background in cloud-based data platforms - Microsoft Fabric, Databricks, Snowflake, AWS or Azure . A More ❯