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Open nowPosted 43 days ago

Senior Product Owner

thisisglobal22 open roles

Where
Holborn - London
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Your applicationOpen nowSenior Product Ownerthisisglobal · Holborn - London

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. thisisglobal postings stay open a median of 14 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 43 days ago

thisisglobal median: 14 days open

The posting

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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