Maria Sergeeva is an independent advisor focused on AI, data governance, and enterprise risk.

Over the past 19+ years, she has worked across international enterprise environments at the intersection of data, IT, governance, audit, and operational transformation.

Her experience combines operational leadership, governance structures, audit methodology, and complex cross-functional stakeholder environments.

She advises management and boards on governance, accountability, risk, and operating model challenges related to AI and data.

Core Areas of Expertise

  • AI Governance & EU AI Act Readiness

  • Data Governance & Accountability Models

  • Enterprise Risk & Control Structures

  • Independent Audit & Governance Assessments

  • Data Quality & Operating Model Design

  • Cross-Functional Enterprise Transformation

Enterprise Experience

Enterprise Data Governance & Management Leadership

Led enterprise-wide data governance and management initiatives across complex international business and IT environments.

Responsible for governance operating models, data accountability structures, data quality frameworks, and executive stakeholder alignment.

IT Governance Audit & Risk

Conducted governance and audit assessments across IT, data, and digitalization domains with focus on enterprise risk, accountability, control frameworks, and governance operating structures.

Contributed to audit universe development based on COBIT and governance principles relevant to emerging AI and digital governance environments.

Data & Process Transformation

Led enterprise-wide process mining and data transformation initiatives across complex international operating environments.

Focused on transparency, accountability, and cross-functional decision structures.

Enterprise Reporting & Decision Environments

Built reporting and data environments supporting management decision-making, forecasting, and operational accountability.

International Consulting & R&D

Managed international R&D and consulting projects in collaboration with global enterprise organizations.

Focused on analytical problem-solving, technical evaluation, and cross-functional collaboration.

Education

Master of Science (M.Sc.) in Photonics
Hochschule Aalen, Germany

Bachelor in Physics
Bauman Moscow State Technical University

Driven by Curiosity and Responsibility

My work is driven by a long-standing interest in systems, complexity, and decision-making.

With a background in physics and experience across governance, audit, data, and enterprise transformation, I am particularly interested in how organizations operate under complexity, uncertainty, and regulatory pressure.

I believe that effective AI and data governance is not only a technical challenge — it is a question of accountability, organizational clarity, and responsible decision-making.