AI Governance & Responsible AI Director | Quantitative Risk & Digital Compliance Expert | Algorithmic Auditing Specialist | GRC Professor & Executive Trainer | Keynote Speaker & Executive Consultant
📍 Copenhagen, Denmark — Serving Europe & Global Clients
Directed enterprise risk, compliance, and AI Governance programs for Fortune 500 multinationals across 4 continents. Deep expertise in Responsible AI, Algorithmic Auditing, and Digital Compliance for regulated industries.
Energy (ExxonMobil, Veolia, Baker Hughes), Financial Services (Danske Bank), Technology & AI (Milestone Systems/Canon, Capgemini), Facility Management (ISS), Manufacturing (Tenaris), Professional Services (Deloitte). Applied Quantitative Risk modeling and AI Governance across every sector.
Designed Quantitative Risk models using Monte Carlo simulation (Python, R) that cut assessment timelines by half while increasing analytical rigor. Replaced qualitative heat maps with probabilistic loss distributions and Value-at-Risk metrics for AI systems.
Led AI-driven Digital Compliance automation initiatives reducing manual review workloads by up to 40%. Deployed Algorithmic Auditing checkpoints ensuring audit-defensible AI outputs in pharmaceutical, automotive, and financial services.
Managed GRC frameworks covering 80+ subsidiaries across Iberia and Latin America for a global utility. Established enterprise-wide AI Governance policies, risk taxonomies, and Responsible AI controls at scale.
Professor at IE Business School since 2013. Program Director for Advanced Compliance. Executive trainer in AI Governance, Responsible AI, Digital Compliance, GRC, and Quantitative Risk. Guest lecturer at 6 universities. Published author and keynote speaker on Algorithmic Auditing and AI Risk Management.
Available for knowledge dialogues, executive training, keynote speaking, board advisory, and interim management engagements across Denmark, Northern Europe, and globally. My practice focuses exclusively on AI Governance, Responsible AI, GRC, Quantitative Risk, Algorithmic Auditing, and Digital Compliance.
Design and implement enterprise-wide AI Governance frameworks aligned with the EU AI Act, ISO/IEC 42001, and NIST AI RMF. AI lifecycle governance, policy design, approval gates, risk classification, and board-level AI strategy. Prepare organizations for conformity assessments and regulatory readiness.
Build probabilistic risk models using Monte Carlo simulation, Bayesian networks, and scenario analysis in Python and R. Quantify AI-related operational, compliance, and reputational risks. Calculate risk-adjusted ROI, Value-at-Risk, and Expected Shortfall for AI investments. Replace subjective heat maps with data-driven decision support.
Design and execute Algorithmic Auditing programs for ML models, GenAI systems, and third-party AI solutions. Bias detection, fairness testing, model drift monitoring, adversarial robustness evaluation, and explainability assessments. Deliver audit-defensible documentation for regulators and internal audit committees.
Implement Responsible AI principles across the organization: fairness, transparency, accountability, privacy, and safety. Build Digital Compliance programs spanning GDPR, EU AI Act, DORA, NIS 2, SOX, and FCPA. Integrate AI ethics into existing GRC frameworks. Design KRIs, control matrices, and monitoring dashboards.
Engaging keynote presentations and half/full-day executive workshops on AI Governance, Responsible AI, Quantitative Risk for AI, Algorithmic Auditing, Digital Compliance, and the future of GRC. Conference keynotes, corporate board briefings, leadership offsites, and university masterclasses. Delivered in English and Spanish.
Custom executive education programs in AI Governance, AI Risk Management, and Digital Compliance. Designed and delivered training at IE Business School, Universidad Complutense de Madrid, UNIR, Comillas/ICADE, and CEF. Certified Chief AI Officer (CAIO) program lead and instructor. Corporate upskilling for risk, compliance, audit, and technology teams.
Milestone Systems, part of Canon, is the world's largest provider of AI computer vision and video management software.
Danske Bank is the largest bank in Denmark and the second largest across the Nordics, serving 3.3 million customers.
Veolia: global leader in energy, water, and waste management — 220,000 employees in 45 countries.
End-to-end framework for institutionalizing AI Governance across the enterprise. Translates the EU AI Act, ISO/IEC 42001, and NIST AI RMF into measurable engineering and oversight tasks. Introduces "Moneyball" approach to AI risk — Quantitative Risk modeling of algorithmic bias, model drift, and risk-adjusted ROI. Covers Algorithmic Auditing, Responsible AI controls, Digital Compliance, and the AI Control Matrix linking telemetry to regulatory mandates.
First rigorous bridge between technical AI vulnerabilities and financial Quantitative Risk Assessment. Unified ontology of 9 Critical Domains and 53 Threat Categories validated against 133 real-world incidents. Maps vectors to ISO/IEC 42001 controls and NIST AI RMF. Enables Algorithmic Auditing practitioners to move from qualitative heat maps to Monte Carlo-based Quantitative Risk Assessment for AI Governance and Digital Compliance.
Open-source Quantitative Risk framework using convolutional Monte Carlo methods in R. Integrates Poisson frequency and Lognormal severity distributions. 100,000+ simulations. Applicable to financial plans, compliance, cybersecurity, and operational risk. Supports AI Governance and Responsible AI programs requiring rigorous Quantitative Risk quantification.
Comprehensive 328-page guide on implementing integrated GRC frameworks. Covers enterprise risk management, internal controls, compliance program design, and governance structures — the foundational methodology underlying modern AI Governance, Digital Compliance, and Responsible AI implementations.
Published expert articles on COSO-ISO 31000 convergence, GDPR compliance for SAP, third-party due diligence, and dimensions in risk measurement. Ongoing thought leadership on AI Governance, Algorithmic Auditing, and Quantitative Risk methodologies.
Available worldwide for keynote speaking, executive workshops, corporate training, and conference presentations. Languages: English and Spanish. Delivered in person and virtually.
• AI Governance in 2025: What Boards Must Know About the EU AI Act
• Quantitative Risk for AI: Monte Carlo Methods for Executive Decision-Making
• Algorithmic Auditing: How to Audit AI Before Regulators Audit You
• Responsible AI Is Not Optional: Building Trust in the Age of GenAI
• Digital Compliance Transformation: From GDPR to the EU AI Act
• GRC for the AI Era: Integrating Governance, Risk & Compliance for Intelligent Enterprises
• The "Moneyball" Approach to AI Risk: Replacing Heat Maps with Data
• Certified Chief AI Officer (CAIO) — Program Lead & Instructor
• Advanced Program in Compliance — Director (IE Business School)
• AI Governance & Responsible AI for Executives (Custom Corporate)
• Quantitative Risk Modeling: Python & R for Risk Professionals
• Algorithmic Auditing & AI Assurance for Internal Audit Teams
• Digital Compliance Masterclass: EU AI Act, DORA, NIS 2
• GRC Framework Design & Implementation Workshop
Available for knowledge counseling, interim management, executive training, keynote speaking, and board advisory engagements. Specialized in AI Governance, Responsible AI, Quantitative Risk, Algorithmic Auditing, Digital Compliance, and GRC. Based in Copenhagen, Denmark — serving European and global clients.