Alan Mössinger

Alan Mössinger

CEO & Chief AI Officer @ VEX AI TECH

About

I am an industrial AI operator who turns AI into capital allocation and governed production systems in regulated, asset-heavy environments.My foundation is 20 years at Petrobras, where I led data science and AI across a multi-billion-dollar upstream exploration portfolio. That work applied machine learning, digital twins, predictive analytics, and AI-enabled project controls to real operating decisions—delivering documented savings at scale and reducing both decision cycle time and operational risk.It also built a perspective many AI leaders never develop: how industrial systems fail, and what governance must look like when the consequences are physical, operational, and financial—not theoretical.I have led AI and capital allocation teams across multiple countries and learned that centralized AI models often fail in complex enterprises. Adoption stalls, shadow AI emerges, and value fragments. The model that works is federated hub-and-spoke: shared standards, controls, and architecture at the center, with clear ownership and accountability in the business units.My mandate is to industrialize AI—governance that scales, production that compounds, and outcomes that boards can measure.Today, alongside my work with Petrobras, I serve as CEO & Chief AI Officer at VEX AI-Tech, where I design and govern production AI systems across regulated industries. This includes enterprise AI operating models, AI Centers of Excellence, and governance frameworks aligned with the EU AI Act, NIST AI RMF, LGPD, ISO/IEC 42001, sovereign AI, and other cross-border regulatory regimes.I also operate a live clinical AI environment at VEX Healthcare, where model performance, workflow reliability, and human oversight are tested under real operating conditions. This reinforces a simple principle: governance is not a compliance layer—it is part of the operating system.My focus is on building AI systems that are operational, explainable, and defensible: model lifecycle control, auditability, human oversight, and deployment frameworks that can scale under regulatory scrutiny from day one.Based in the United States, working across North America, Europe, the Middle East, Latin America, and Asia.alan.mossinger@vexholding.comvexaitech.com | github.com/alanmossinger | medium.com/@alanmossinger

Country

-

City

United States

Industry

Utilities

Skill

Transformational Leadership, Energy, AI Roadmap, Enterprise AI Governance, Enterprise Risk Management, AI Governance, Enterprise Architecture, AI Policy, Governance, and Regulation, Operations Management, Product Innovation, Information Technology, Financial Reporting, Financial Modeling, Financial Planning, Machine Learning, Digital Strategy, Energy Efficiency, Solar Energy, Wind Energy, Renewable Energy Systems

Experience

VEX AI TECH

CEO & Chief AI Officer

VEX AI TECH

LinkedIn
2022-1 - Present · 4 yrs 9 mos

United States

• VEX AI-Tech is a VEX Holding subsidiary — an operating proof of concept that enterprise AI governance can be built, scaled, and proven outside a Fortune 500 environment. • Built and scaled a federated hub-and-spoke AI governance practice across 4 countries — centralized governance layer in Wyoming USA, and local execution capability, board-ready reporting aligned to EU AI Act, NIST AI RMF, ANPD, ISO 42001, and India DPDP Act. • Deployed production IDP solution — three-layer architecture (AWS OCR · LLM reasoning · Agentic AI compliance monitoring) — scaled from 50K to 1M+ documents without architectural changes. Delivered 300% ROI with full sensitive data cross-border and regulatory compliance. • Governing and operating live real-time AI lab, generative AI and agentic AI, in a heavy regulated vertical - VEX Healthcare - where model failures have direct patient consequences. India-based technical partnership for Asian market bridge. Virtual offices in Germany for EU regulatory proximity. • Built and maintain a proprietary labeled dataset of 20,000+ records — the training foundation for VEX moving from triage to diagnostic and compliance-monitoring models, and a defensible data asset that compounds across client engagements rather than being rebuilt per project. • Published 50+ articles on AI governance, industrial AI, energy, and AI strategy playbook for executives.

Petrobras

Master of Energy

Petrobras

LinkedIn
2024-8 - Present · 2 yrs 2 mos

United States

Master of Energy at Petrobras and currently sponsoring Master of Applied Data Science - AI Concentration | University of Michigan

Petrobras

Head of Data Science (AI) & Portfolio Assurance Optimization

Petrobras

LinkedIn
2020-3 - 2024-8 · 4 yrs 6 mos

Greater Rio de Janeiro

• Coordinated a multi-billion-dollar exploration offshore portfolios assurance deploying AI analytics to achieve cost savings and risk reduction in drilling activities through ML production forecast and improve capital allocation. • Implemented ML frameworks that reduced decision cycle. • Pioneered implementation of CoE, digital transformation, data-driven decision making, and ML into organizational workflows.

Petrobras

Program Manager

Petrobras

LinkedIn
2016-7 - 2020-3 · 3 yrs 9 mos

Brazil

• Led multi-country onshore exploration programs and decision-making committees • Applied data analytics to portfolio reallocation and investment prioritization, resulting in a significant reduction of drilling costs by millions. • Actively represented Petrobras in strategic global partnerships, enhancing operational efficiencies and collaborative opportunities. • Supervised onshore divestment processes, ensuring compliance with regulatory standards and accurate asset valuation.

Petrobras

Petrophysicist Advisor | Data Analytics

Petrobras

LinkedIn
2007-1 - 2016-7 · 9 yrs 7 mos

• Advanced subsurface data analysis supported real-time drilling decisions, improving operational accuracy in high-stakes environments. • Technical reporting guided $500M in annual drilling investments, integrating petrophysical data into advanced reservoir characterization models. • Part of technical team contributing to major pre-salt deepwater discoveries — among the largest hydrocarbon discoveries of the 21st century.

Education

MIT Sloan School of Management

MIT Sloan School of Management

LinkedIn

Business Administration and Management, General (EPGM)

2025-6 - 2026-1 · 8 mos

Executive Program In General Management

MIT Sloan School of Management

MIT Sloan School of Management

LinkedIn

Advanced Certificate for Executives in Management, Innovation and Technology (ACE)

2025-6 - 2026-1 · 8 mos

Advanced Certificate for Executives in Management, Innovation and Technology

Massachusetts Institute of Technology

Massachusetts Institute of Technology

LinkedIn
2024-3 - 2025-3 · 1 yr 1 mo
Stanford University

Stanford University

LinkedIn
2025-1 - 2025-11 · 11 mos

Energy Innovation & Emerging Technologies program. Covered carbon emissions & policy instruments, cost analysis for energy investments (LCOE), comparative economics of wind/solar/natural gas, utility business-model shifts, energy storage economics, sustainable transportation (LCOMD), and outlook topics including carbon capture, and hydrogen energy value chain.

Harvard Business School

Harvard Business School

LinkedIn
2021-1 - 2021-10 · 10 mos
University of Michigan - School of Information

University of Michigan - School of Information

LinkedIn

Data Science and Machine Learning -AI Focus

Ongoing

IFP School

IFP School

LinkedIn

Reservoir Geoscience and Engineering

2015-1 - 2016-12 · 2 yrs

Dissertation – Exploration phase: Deepwater Carbonate Reservoir Data Integration for Early Static and Dynamic Modeling and Properties Prediction. (Pre-salt)

University of California, Irvine - The Paul Merage School of Business

University of California, Irvine - The Paul Merage School of Business

LinkedIn

Project Management Principle and Practices

2021-12 - 2022-3 · 4 mos
COPPEAD UFRJ

COPPEAD UFRJ

LinkedIn

Strategy Emphasis Post-Graduation

2019 - 2019
The University of Texas at Austin

The University of Texas at Austin

LinkedIn

Specialization course in Advanced Petrophysics.

2010 - 2010

Advanced Petrophysics course at UT in Austin, USA.

UERJ

UERJ

LinkedIn
2007 - 2007

Post-Graduation course as an agreement of State University of Rio de Janeiro and Petrobras.

Universidade Federal do Paraná

Universidade Federal do Paraná

LinkedIn
2002-1 - 2006-12 · 5 yrs

5 years full-time undergraduation course.

Udemy Alumni

Udemy Alumni

LinkedIn

Artificial Intelligence

2024-1 - 2024-3 · 3 mos

Alan Mössinger's Contact Information

Email

******@***.com

Phone

(**) *** ****

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