As a Product Manager for AI Data Products, you will be a founding architect of our modern data ecosystem. Operating within the Data Enablement team, your mission is to transform raw data into a strategic asset that powers our Global Client Groups across Sales, Marketing, and Digital Experience.
What We're Looking ForExperience: 5+ years in Product Management with a track record of launching data platforms or AI-enabled products.
Domain Expertise: Proven experience in B2B or B2B2C environments, ideally within Financial Services, Asset Management, or a similarly regulated industry.
Technical Proficiency: Hands-on experience with Data Lakes/Warehouses (e.g., Snowflake), Feature Stores, and MLOps concepts.
Data Literacy: Ability to perform data profiling and analysis using SQL and Python to drive product decisions.
Communication: Exceptional ability to influence a diverse audience, from C-suite leaders to deeply technical engineers and data scientists.
Education: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Master's preferred).
Data Tools: SQL, Python, Snowflake/Databricks, Tableau/Power BI.
Frameworks: Agile/Scrum, MLOps, Data Governance, Metadata Management.
Integration: API design, event-driven architecture, and data modeling.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
”, “datePosted”: “2026-05-22”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Randstad Technologies”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__439263657__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }As a Product Manager for AI Data Products, you will be a founding architect of our modern data ecosystem. Operating within the Data Enablement team, your mission is to transform raw data into a strategic asset that powers our Global Client Groups across Sales, Marketing, and Digital Experience.
What We’re Looking For
Experience: 5+ years in Product Management with a track record of launching data platforms or AI-enabled products.
Domain Expertise: Proven experience in B2B or B2B2C environments, ideally within Financial Services, Asset Management, or a similarly regulated industry.
Technical Proficiency: Hands-on experience with Data Lakes/Warehouses (e.g., Snowflake), Feature Stores, and MLOps concepts.
Data Literacy: Ability to perform data profiling and analysis using SQL and Python to drive product decisions.
Communication: Exceptional ability to influence a diverse audience, from C-suite leaders to deeply technical engineers and data scientists.
Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Master’s preferred).
Technical Skills Required
Data Tools: SQL, Python, Snowflake/Databricks, Tableau/Power BI.
Frameworks: Agile/Scrum, MLOps, Data Governance, Metadata Management.
Integration: API design, event-driven architecture, and data modeling.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
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