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About
I bring operator + technical depth + founder experience to boards. I’ve built and led a data-science consultancy (Galde), taught and mentored at university level, and shipped product & platform technology as a CTO/tech co-founder — so I speak strategy, product, engineering and data science in the same language.
What makes me a strong advisor / board member:
1. Bridging business and technology. I help translate business outcomes into measurable data & product roadmaps, and vice-versa — so boards get realistic plans that actually deliver value.
2. AI / data governance and risk awareness. Experience designing ML systems, pipelines and analytics gives me perspective on model risk, data quality, compliance and realistic timelines for ROI.
3. Scaling tech & teams. I’ve hired, organized and grown engineering/data teams and moved projects from pilot to production — useful when boards need to judge hiring, org design or tech spending.
4. Go-to-market & product thinking. As a founder and product/tech lead I’ve balanced customer needs, pricing and delivery trade-offs — valuable for advising growth, monetization and partnerships.
5. Practical educator & communicator. Teaching and client training experience means I can explain complex technical tradeoffs clearly to non-technical directors and investors.
Types of companies that will benefit most:
1. AI / data-first startups (Pre-seed → Series B): need help turning PoCs into reliable, monetizable products and setting data/ML KPIs.
2. SMEs undergoing digital transformation: companies that must build data capability, modernize BI, or embed ML into operations (logistics, customer experience, HRTech, re/finance, health, edtech).
3. Product-led SaaS firms that require technical governance and architecture guidance to scale platforms and maintain uptime/performance.
4. Consultancies & service firms wanting to productize expertise and add repeatable AI offerings.
What makes me a strong advisor / board member:
1. Bridging business and technology. I help translate business outcomes into measurable data & product roadmaps, and vice-versa — so boards get realistic plans that actually deliver value.
2. AI / data governance and risk awareness. Experience designing ML systems, pipelines and analytics gives me perspective on model risk, data quality, compliance and realistic timelines for ROI.
3. Scaling tech & teams. I’ve hired, organized and grown engineering/data teams and moved projects from pilot to production — useful when boards need to judge hiring, org design or tech spending.
4. Go-to-market & product thinking. As a founder and product/tech lead I’ve balanced customer needs, pricing and delivery trade-offs — valuable for advising growth, monetization and partnerships.
5. Practical educator & communicator. Teaching and client training experience means I can explain complex technical tradeoffs clearly to non-technical directors and investors.
Types of companies that will benefit most:
1. AI / data-first startups (Pre-seed → Series B): need help turning PoCs into reliable, monetizable products and setting data/ML KPIs.
2. SMEs undergoing digital transformation: companies that must build data capability, modernize BI, or embed ML into operations (logistics, customer experience, HRTech, re/finance, health, edtech).
3. Product-led SaaS firms that require technical governance and architecture guidance to scale platforms and maintain uptime/performance.
4. Consultancies & service firms wanting to productize expertise and add repeatable AI offerings.
Beñat Galdós is an advisor and board member based in Spain, specialising in Computer Software. They speak English and Spanish. They are open to advisory board and board director opportunities and are available for introductions through Boardio.
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