{"id":3290998,"url":"https://alion.io/job/itv-product-manager-data","title":"Product Manager, Data","company":{"id":18472,"name":"ITV","domain":"itv.com","url":"https://alion.io/company/itv-news","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Product","role_family":"Product","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":45000,"max":52000,"currency":"GBP","period":"year","gross":null,"usd_annual":69455},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-26T17:23:59Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-29T15:44:51Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Location: White City, London\nContract Type: Permanent, Full-Time\nWorking Pattern: Hybrid 1-2 days on site\nSalary range: £45,000 - £52,000\nPurpose of the Role\nReporting to the Head of Product, Viewer Data & Growth, you will work in a high-impact technical product group whose mission is to power ITVX’s enterprise data and AI foundation. You will bridge analytical rigour with product delivery, helping transform complex data flows across Cloud Infrastructure (GCP/BigQuery), Data Science models, and subscription signals into reliable, production-ready data products that support major commercial partnerships and next-generation viewer experiences.\nResponsibilities\nTo drive our cloud data architecture, commercial compliance, and AI capabilities by:\nWorking closely with Big Data Engineering to identify, track, and execute GCP cost-optimisation opportunities across data storage and BigQuery compute pipelines.\nHelping standardise core financial and subscription data flows, turning complex multi-partner billing signals into clean, structured data models for executive reporting and internal AI tools.\nPartnering with Data Science to help productionize Viewer Machine Learning models (such as household composition and co-viewing) from experimental scripts into live batch and API pipelines.\nTranslating technical requirements 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