> Markdown version of [/jobs/ext/3061613-product-owner](https://www.wearedevelopers.com/jobs/ext/3061613-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - **Company:** Iq - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, BigQuery, Database Queries, Machine Learning, SQL Databases, Snowflake - **Published:** September 25, 2026 - **Apply:** https://www.careerjet.co.uk/job/gb3ee21680a4742a4e0eee531fce49daa6/eaa ## About the Role 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. ## Description 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., 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:IQ transforms 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. 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