Senior Product Owner

Reporting of the Role

This role reports to the Director of Commercial Trading Technology.

Accepting Applications Until

1 May 2026

Job Description

Senior PO – gIQ

Overview of the Job

Using a combination of data science, machine learning & AI techniques, it supports smarter targeting across Global’s audio and out‑of‑home inventory, optimises advertising creatives and automates the tracking of outcomes for advertisers through the acquisition funnel—from building awareness and consideration to driving action.

As the Senior Product Owner, you will be the driving force behind the product roadmap for our core ad‑targeting, creative optimisation and advertising measurement capabilities across audio and outdoor. You will bridge the gap between complex data science and tangible business value, leading a large development team to build features that have never been seen before in the audio and outdoor media landscape.

3 Best Things About The Job

• Pioneering New Ground: You aren\’t just iterating on existing features; you are tasked with doing things that have never been done before in ad targeting. You’ll need the ambition and grit to solve complex problems without a playbook.
• AI at the Core: This is a true AI/Data product role. You will lead projects where machine learning isn\’t an afterthought—it is the product.
• Hands‑on Impact: You won’t just write tickets; you’ll get your hands dirty with data, using SQL to validate hypotheses and prototyping ideas quickly to drive the vision forward.

Measures of success

In The First Few Months, You Would Have

• Immersed yourself in the advertising domain, understanding our current capabilities and identifying the biggest opportunities for innovation across targeting, creative & measurement.
• Established a strong feedback loop with the large development and data science teams, earning their trust through clear communication and technical understanding.
• Demonstrated hands‑on capability by running your own SQL queries in Snowflake/BigQuery to inform a product decision.
• Successfully led a data‑driven feature from conception through to deployment, proving the value of Global:IQ to stakeholders.

Key Responsibilities of the Role

• Product Vision & Strategy (30%): Own the roadmap for key automated intelligence products for advertising campaigns. You must demonstrate a genuine passion for this domain and the tenacity to work on it for the long haul.
• Data & AI Leadership (30%): Lead data and AI‑driven projects from conception to deployment. You will define what we build and why, ensuring our models solve real advertiser problems.
• Backlog Management (20%): Translate high‑level strategic goals into actionable user stories for a large, cross‑functional development team.
• Hands‑on Analysis (10%): Use your SQL skills (Snowflake/BigQuery) to dig into big data, validate success metrics, and uncover insights without waiting for an analyst.
• Innovation (10%): Push the boundaries of what is possible by prototyping ideas (potentially using AI tools) and fostering a startup mindset within the team.

Required

What you will need

• Experience: 8+ years of experience in Product Ownership or Product Management.
• Domain Passion: You must love the challenge of using data & intelligence to drive ad campaign efficiency and demonstrate the value of the investment in the media. We are looking for someone strictly curious about this domain, enthused to work on it for a number of years, and with the ambition to launch things that have never been done before.
• AI/Data Lifecycle: Proven experience in leading data and AI‑driven projects from conception to deployment. You understand the nuances of building products powered by machine learning.Technical Skills: Strong SQL experience with Big Data environments (e.g., Snowflake, BigQuery).

Preferred / Bonus

• Scale: Experience working with and leading large development teams.
• Specialization: AI / ML Product Management experience.
• Mindset: Startup experience—you thrive in ambiguity and move fast but drive solutions that scale.
• Prototyping: Experience in quick prototyping (specifically using AI tools) to validate ideas before engineering begins.
• AI‑Native: Experience in \”AI‑native\” product management, where the product interface and utility are fundamentally shaped by AI capabilities.