Product Manager, Data

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.