Senior Product Owner
- LocationHolborn - London
- Work typeNot stated
- EmploymentFull-time
- Posted26 October 2026
- SourceGlobal's careers page (Workday)
Live checkFirst seen yesterday; still listed on Global's careers page 4 h ago.
At a glance
- Experience8+ years
- Skills and toolsMachine learning, SQL, Snowflake
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About the role
Accepting applications until:
27 November 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
- 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.
- Led a data-driven feature from concept through to deployment, clearly demonstrating the value of Global:IQ to internal and external stakeholders.
What You’ll Need
- Product Experience : Significant experience (around 8+ years) in Product Ownership on complex, data-rich products, ideally within major advertising agencies.
- Domain Passion and knowledge : 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.
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