Accepting applications until:

31 July 2026

Job Description

Your Role: Senior Product Owner – Global:IQ

This role sits in the Global:IQ team, building our next-generation intelligence platform. Global:IQ brings together 1st party and partner data, tools and capabilities to turn data into audience understanding and optimised, >Key Responsibilities

• Product Vision & Strategy (30%): Own and evolve the roadmap for automated intelligence products across targeting, creative and measurement. Champion a clear vision and long-term ambition for how Global:IQtransforms our advertising products.

• Data & AI Leadership (30%): Lead data and AI-driven initiatives from concept to deployment, defining what we build and why, and ensuring machine learning solutions solve real advertiser problems.

• Backlog Management (20%): Translate strategic goals into clear, prioritised user stories and acceptance criteria for a large, cross-functional development team.

• Hands-on Analysis (10%): Use SQL (e.g. Snowflake, BigQuery) to interrogate data, validate hypotheses, check success metrics and inform product decisions without always needing an intermediary.

• Innovation (10%): Prototype ideas (including with AI tools), test early concepts with stakeholders and foster a startup mindset focused on experimentation and learning.

What You’ll Love About This Role

Think Big: Pioneer new ground in ad targeting and optimisation, solving complex, unscripted problems in a space where there is no established playbook.

Own It: Take end-to-end responsibility for high-impact AI/data products, from idea through to live performance and iteration.

Keep it Simple: Turn advanced data science and machine learning into simple, usable products that deliver clear value for advertisers and internal teams.

Better Together: Work closely with engineering, data science, commercial and product partners, building deep trust through transparent communication and shared outcomes.

What Success Looks Like

In your first few months, you’ll have:

• Immersed yourself in the advertising domain and current capabilities, identifying the biggest opportunities across targeting, creative and measurement.

• Built strong relationships and feedback loops with development and data science teams, earning trust through clear, technically informed decision-making.

• Demonstrated hands-on capability by using SQL in Snowflake/BigQuery to support at least one key product decision.

• Led a >What You’ll Need

  • Product Experience: Significant experience (around 8+ years) in Product Ownership or Product Management, ideally on complex, data-rich products.

  • Domain Passion: A strong interest in using data and intelligence to improve ad campaign efficiency and demonstrate media value, with the appetite to specialise in this area over the long term.

  • AI/Data Product Skills: Proven experience leading data and AI/ML-powered products from idea to launch, with a good understanding of the end-to-end lifecycle.

  • Technical Skills: Strong SQL skills and confidence working with big data environments such as Snowflake or BigQuery.

  • Leadership & Collaboration: Experience working with and influencing large development teams, and collaborating effectively across technical and commercial stakeholders.

  • Innovation Mindset: Comfortable with ambiguity, experimentation and fast feedback, ideally including experience in “AI-native” or startup-style product environments and quick prototyping using AI tools.