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Salary
$60k – $69k per year
Location
Hybrid (London, United Kingdom)
Seniority
Staff · 1+ year exp

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match

ITV

Headquartered in London, United Kingdom, ITV is a public media and television production conglomerate operating as the UK's largest commercial broadcaster. The company functions through two core divisions: Media & Entertainment, which operates its portfolio of free-to-air linear channels and the ITVX streaming platform, and ITV Studios, an international content creator and distributor.

Location: White City, London

Contract Type: Permanent, Full-Time

Working Pattern: Hybrid 1-2 days on site

Salary range: £45,000 - £52,000

Purpose of the Role

Reporting 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.

Responsibilities

To drive our cloud data architecture, commercial compliance, and AI capabilities by:

  • Working closely with Big Data Engineering to identify, track, and execute GCP cost-optimisation opportunities across data storage and BigQuery compute pipelines.
  • Helping 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.
  • Partnering 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.
  • Translating technical requirements and data schemas into structured user stories, acceptance criteria, and well-prioritised agile backlogs.
  • Collaborating cross-functionally with engineers, data analysts, and platform teams to validate data accuracy, monitor pipeline health, and maintain high governance standards.
  • Bringing a curious, problem-solving mindset to complex technical challenges, balancing analytical depth with pragmatic delivery execution.

Skills required

  • To hit the ground running, you will have a strong analytical or quantitative background (such as a degree in Mathematics, Computer Science, Physics, Data Science, or equivalent practical experience).
  • 1+ year of experience in a data analytics, software engineering, or technical graduate role looking to transition into Product Management, or you are an early-career PM with a strong technical appetite eager to specialise in deep cloud data and AI.
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