# S7 | Ep 5 | Signal Over Noise: The North Star of Decision Support with Richard Masters, VP Data & AI at Virgin Atlantic

Page: https://stenobird.com/podcast/driven-by-data-the-podcast-1318403/s7-ep-5-signal-over-noise-the-north-star-of-decision-support-with-richard-masters-vp-data-ai-at-virgin-atlantic
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Podcast: [Driven by Data: The Podcast](https://stenobird.com/podcast/driven-by-data-the-podcast-1318403)
Published: 2026-05-05T05:00:00+00:00
Episode link: https://driven-by-data-the-podcast.captivate.fm/episode/s7-ep-5-signal-over-noise-the-north-star-of-decision-support-with-richard-masters-vp-data-ai-at-virgin-atlantic
Audio file: https://episodes.captivate.fm/episode/ebd51710-c2c8-4666-9f21-7fcb4d147bd7.mp3
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Duration seconds: 2927

## Resource

In Episode 5, of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Richard Masters, Vice President of Data & AI at Virgin Atlantic where they discuss how a "signal over noise” mindset helps cut through complexity, and enables better decision-making and real business impact, which includes; How an astrophysics background shaped a “signal over noise” mindset for data and decision-making. How reducing data noise and surfacing the right signal drives meaningful business action. Why decision support should be the North Star for every data team. How aligning data work to business strategy requires constant iteration, challenge, and course correction. Why iterative improvement wins the day. How data context and metadata are critical to trust, usability, and adoption. Why data lineage, governance and trust are foundational to scaling AI successfully. How prioritisation should be driven by impact vs feasibility, not technical curiosity. Why a product mindset enables reuse, scalability, and faster value realisation. How platforms act as the governed foundation for reusable data, AI and decision-making capabilities. Why simplifying to fewer platforms improves trust and speed of delivery. How observability and adoption tracking link data products to real decision-making and P&L impact. Why AI success depends on evaluation frameworks (“is it right?”) and human-in-the-loop validation. How AI is shifting roles from coders to builders using and diversifying D&A talent beyond traditional STEM backgrounds.

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