Pablo M.

The AI problem most CEOs don't see coming: 56% of CEOs reported zero ROI from AI in 2026. Not because the AI failed — because the data underneath it was unstructured, untrustworthy, and ungovernable. AI can't fix bad data. It amplifies it. I build the foundation that makes AI actually work. I'm a Chartered Public Accountant with Big Four experience at KPMG Australia and Deloitte Argentina, and a senior Power BI architect with 20+ years of enterprise data delivery across global corporations. At Mirvac Group — one of Australia's top 10 ASX-listed companies — I architected the analytics infrastructure for a AU$3 billion real estate portfolio: automated pipelines, CFO-ready dashboards, and a governance layer that made every number trustworthy before anyone asked a question of it. That's the standard I bring to every engagement. What I actually do — and why it's different: • Design data models AI can query without hallucinating. Clean schema, governed pipelines, validated sources — the foundation layer that 95% of failed AI projects were missing (MIT, 2026). • Build data platforms that CFOs and CEOs actually use — not because they're beautiful, but because the business logic underneath is correct and the numbers reconcile. • Translate between your management team and your technology team — two groups who can't agree if a number is just wrong or there is technical issue • Audit data environments that have grown organically, finding technical debt and governance risk before it reaches the board. Where I work best: CFOs who need to trust their numbers before an AI agent touches them. Heads of Data who need an independent architectural review before they scale. Operations leaders whose team is still manually reconciling exports from three systems every Monday morning. If your data is a problem today, it will be a bigger problem when you add AI to it. Let's fix the foundation first. Bilingual English/Spanish. Top Rated Plus. 100% Job Success.