Maria
Sukhareva

Group-level AI strategy and governance for the corporate security function.

• Set the enterprise AI strategy for Corporate Security at group level.
• Designed the governance framework for AI use case prioritisation, vendor selection, third-party LLM usage, data privacy safeguards, and ongoing risk ownership.
• Oversaw the end-to-end AI lifecycle from proof of concept to production, including architecture, model selection, and go-live approval.
• Advised executive leadership on responsible AI adoption, the EU AI Act, and AI risk for a DAX 40 corporate function.

Enterprise AI leadership across Siemens group and its regulated financial services arm — spanning group-level strategy, cross-functional product delivery, and financial AI governance.

• Defined AI product vision and strategy, aligning delivery with business objectives across a matrixed DAX 40 organisation; led cross-functional teams through full delivery cycles.
• Delivered C-level briefings and group-wide enablement sessions on generative AI, AI risk, and responsible adoption.
• Architected and governed an LLM-backed pipeline with human-in-the-loop oversight, cutting document review cycles from months to days — saving hundreds of hours per quarter while preserving strict audit trails.
• Defined an AI strategy for macroeconomic and geopolitical risk intelligence, monitoring financial and political impact of global conflicts on the business.
• Served as internal authority on responsible AI and model hallucination risks in financial services, balancing innovation against compliance, auditability, and regulatory risk.

• Delivered strategic AI initiatives across Siemens business units, from proof of concept to production.
• Built NLP and LLM pipelines for classification, information extraction, and enterprise search at scale.

• Delivered production NLP and ML systems on cloud infrastructure, establishing reusable components for later LLM solutions.

• Architected and deployed production deep learning solutions on NVIDIA GPUs and AWS at a DAX 40 automotive manufacturer.
• Led a strategic machine translation initiative for technical domains and built conversational AI systems including digital assistants and chatbots.
• Designed and delivered specialised AI training programmes for BMW employees on practical AI adoption.

• Research on machine translation, text normalisation, argumentation mining, and low-resource NLP; Apache Spark deep learning, UIMA pipelines, and RDF ontologies.
• Published in international peer-reviewed NLP venues; designed and taught a university course on machine translation.

DAAD Study Scholarship for Graduates of All Disciplines. Computational linguistics track, including coursework under Prof. Hans Uszkoreit.

Specialisation in linguistics and translation between Russian, German, and English.