Podcast guest profile

Tamas Marin

Technology Leadership • AI Governance • Operational Resilience • Board Advisory

Technology executive with more than 35 years of experience helping organisations make better decisions about technology, AI, governance and operational resilience.

Most technology failures are not technology failures. They are leadership, governance and decision-making failures.

Short biography

Tamas Marin is a technology executive and advisor with more than 35 years of experience across enterprise technology, cloud transformation, AI adoption, governance and operational resilience. He helps leaders and boards make clearer decisions about technology risk, delivery, accountability and long-term strategic capability.

Speaking style

Professional, practical and experience-based. Tamas avoids hype and focuses on real-world lessons, governance, leadership and the decisions that determine whether technology creates resilience or risk.

Full biography

Executive technology perspective for practical conversations.

Tamas Marin has spent more than 35 years working across software engineering, enterprise architecture, technology leadership and transformation. His experience spans large enterprises, government programmes, startups and specialist advisory work, with a focus on helping organisations make better decisions about the systems, teams and governance structures they rely on.

He has led and advised on cloud transformation, complex software delivery, distributed systems, architecture assurance, operational resilience and technology risk. His work connects technical reality with executive decision-making, helping boards, founders and senior leaders understand what technology choices mean for strategy, accountability, resilience and long-term value.

Tamas also works with organisations exploring AI adoption and AI governance. He is especially interested in moving beyond hype: identifying practical opportunities, managing risk, creating accountable operating models and ensuring that AI supports real organisational outcomes. As a podcast guest, he brings a calm, direct and experience-led perspective on why technology projects fail, how governance can enable better delivery, and what leaders need to ask before committing to major technology and AI initiatives.

Topics

Topics I speak about

Why Technology Projects Fail Technology Governance for Modern Organisations AI Beyond the Hype Operational Resilience Technology Risk Leadership Lessons from 35 Years in IT Technical Debt is a Business Decision Technology Investment for CFOs Building Engineering Teams AI Accountability Architecture at Scale Fractional CTO Leadership Lessons from Enterprise Transformation

Episode ideas

Ready-made angles for practical leadership conversations.

Designed to help hosts quickly shape an episode for leadership, governance, operations, risk and business audiences.

Why Most Technology Projects Fail Before The Technology Starts What Boards Should Ask Before Approving AI Initiatives The Hidden Cost Of Technical Debt Why Automation Can Increase Risk Instead Of Reducing It How Leaders Can Separate AI Hype From Business Value What CFOs Should Know Before Funding AI And Technology Programmes Lessons From 35 Years Of Technology Transformation Operational Resilience In A Technology-Dependent Organisation What Good Technology Governance Looks Like In Practice

Sample questions

Questions hosts can use directly.

  • Why do so many technology projects fail?
  • What is technical debt, and why should executives care?
  • What should boards ask before approving AI initiatives?
  • What should CFOs ask before funding major technology programmes?
  • How do leaders identify worthwhile AI opportunities?
  • What happens when critical business decisions depend on AI?
  • What mistakes are organisations making with AI today?
  • How can automation increase risk instead of reducing it?
  • When does technology debt become a financial liability?
  • How should executives work with technical leaders?
  • How can technology leaders earn trust at board level?
  • How can leaders separate AI hype from business value?

Ideal podcast audiences

Useful for leadership, governance and technology audiences.

Business Leaders Company Directors Founders SMEs CIOs CTOs Technology Leaders Board Members CFOs Finance Leaders Risk Professionals

Conversation style

Practical, business-focused and experience-led.

Tamas is best suited to discussions for executive and leadership audiences. Topics are approached through governance, risk, operational resilience and decision quality rather than deep technical implementation detail.

Best fit podcasts

Leadership Business Growth SME Founders Operations Board and Governance Finance and CFO Leadership Risk Management Technology Leadership Operational Excellence Entrepreneurship Digital Transformation

Less suited to prompt engineering, model benchmarking, AI developer tooling or highly technical implementation deep-dives.

Audience takeaways

Clearer questions and better technology decisions.

Practical Lessons

Lessons from more than 35 years in technology leadership, delivery and transformation.

Real Examples

Experience-led discussion rather than abstract trend commentary or AI hype.

Board-Level Perspective

Technology and AI explained through governance, oversight, accountability and risk.

Financial Lens

Technology decisions framed as investment, liability, resilience and capital allocation questions.

Clear Explanations

Complex topics made understandable for business, leadership and governance audiences.

Actionable Ideas

Ideas leaders can apply when evaluating technology, AI and resilience decisions.

Better Questions

Prompts that help executives challenge assumptions before investing.

Previous experience

Broad delivery and advisory context.

Experience includes enterprise programmes, government programmes, startups, cloud migration, AI initiatives, operational resilience and leadership roles.

Media

Appearances and one sheet

Podcast appearances, interviews and a downloadable speaker one sheet can be added here as they become available.