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Senior Product Owner

1660 Global Media Group Services Ltd · Holborn - London, United Kingdom

Business StrategyImported listingfull-timeabout 17 hours ago

About The Role

Accepting applications until

30 October 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, data-led media plans across audio and out-of-home.

As the Senior Product Owner, you’ll own the roadmap for our core ad-targeting, creative optimisation and advertising measurement capabilities. You’ll bridge the gap between complex data science and tangible commercial outcomes, leading a large development and data science team to deliver capabilities not yet seen in audio and outdoor media.

Key Responsibilities

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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.

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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.

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

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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.

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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

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  • Immersed yourself in the advertising domain and current capabilities, identifying the biggest opportunities across targeting, creative and measurement.
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  • Built strong relationships and feedback loops with development and data science teams, earning trust through clear, technically informed decision-making.
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  • Demonstrated hands-on capability by using SQL in Snowflake/BigQuery to support at least one key product decision.
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  • Led a data-driven feature from concept through to deployment, clearly demonstrating the value of Global:IQto internal and external stakeholders.

What You’ll Need

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

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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.

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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.

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

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

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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.

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