AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Enterprise Architect for AI | Enterprise AI Strategy, Governance & Transformation | Speaker, Author & Industry Judge
I help organisations turn AI innovation into sustainable business value. As a Lead Enterprise Architect for AI, I work at the intersection of technology, strategy, governance, and organisational transformation, helping enterprises adopt and scale AI in a safe, responsible, and commercially effective way. My career spans academia, research, enterprise technology, and AI delivery. With a PhD in Information and Language Processing, I have built a strong foundation in artificial intelligence, computational linguistics, and data science, while developing a practical understanding of how emerging technologies create real-world impact. Today, my focus is on enterprise AI strategy, governance, architecture, and operating models. I am particularly interested in how organisations can move beyond experimentation and isolated use cases to build AI capabilities that are trusted, scalable, and aligned with business objectives. I regularly speak at conferences, contribute to industry discussions, and serve as a judge for technology and innovation programmes. My areas of interest include enterprise AI adoption, responsible AI, AI governance, generative AI, organisational transformation, and measuring the business value of AI. Whether engaging with executives, technologists, regulators, or business leaders, I enjoy translating complex concepts into practical decisions that help organisations navigate the rapidly evolving AI landscape.
Saint Petersburg State University
PhD, Mathematical linguistics
January 1, 2007 – January 1, 2009
Saint Petersburg State University
Additional specialty, Phonetics and speech processing
January 1, 2005 – January 1, 2007
Saint Petersburg State University
Specialist, Mathematical linguistics
January 1, 2002 – January 1, 2007
NatWest Group
Lead Enterprise Architect in AI
November 1, 2025 – Present
Greater London, England, United Kingdom · Hybrid
Academy for the Mathematical Sciences
Advisory Board Member: Business, Industry & Government, and Education
July 1, 2024 – Present
BP
Global Architecture Lead in AI
January 1, 2020 – November 1, 2025
London, United Kingdom
Shell Energy Retail
Lead Software Engineer
March 1, 2019 – January 1, 2020
London, United Kingdom
European Commission
Expert evaluator for ICT Horizon2020
May 1, 2018 – July 1, 2018
Brussels Metropolitan Area
First Utility
Lead Software Engineer (R&D)
June 1, 2016 – March 1, 2019
University of Wolverhampton
Associate Editor for the JNLE
October 1, 2014 – October 1, 2017
First Utility
Senior Software Engineer (Artificial Intelligence)
June 1, 2014 – June 1, 2016
University of Wolverhampton
Network Training Coordinator
November 1, 2012 – June 1, 2014
University of Wolverhampton
Editorial Assistant for the JNLE
April 1, 2009 – October 1, 2014
University of Wolverhampton
PhD student
April 1, 2009 – June 1, 2013
Azalis
Technical writer
March 1, 2008 – September 1, 2008
Saint Petersburg, Russian Federation
Dom Programm Ltd
Linguist, project manager
July 1, 2005 – April 1, 2009
Saint Petersburg, Russian Federation
International Workshop on Language, Music and Computing
November 1, 2014 – Present
Aims of the workshop: to encourage interdisciplinary communication and collaboration of linguists, musicians and IT-specialists in the sphere of some actual problems.
AIST
January 1, 2012 – Present
AIST'2014 is an international scientific conference on Analysis of Images, Social Networks, and Texts. Traditionally, the conference is held annually in Yekaterinburg, Russia. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science. LIST OF TOPICS (NON EXHAUSTIVE) Applications of Data Mining and Machine Learning techniques to Analysis of images and video Natural Language Processing Social Network Analysis Recommender systems and collaborative technologies Geoinformation systems Game analytics Information Retrieval Core Data Mining and Machine Learning techniques Sematic Web and Ontologies Data Mining in social sciences and economics Computational econometrics Experimental Economics Educational Data Mining
Student workshop
June 1, 2009 – Present
Organising Committee. Student Research Workshops associated with the conference 'Recent Advances in Natural Language Processing' (RANLP). This workshop gives possibility to students at all levels (Bachelor-, Master-, and PhD-students) to present their ongoing work. The aim of this workshop is to facilitate the exchange of knowledge between young researchers by providing an excellent opportunity to present and discuss their work in progress or completed projects to an international research audience and receive feedback from senior researchers. The research being presented can come from any topic area within Natural Language Processing (NLP) and computational linguistics.
RANLP
March 1, 2009 – Present
Help with the organisation of RANLP. RANLP (Recent Advances in Natural Language Processing) has established itself over the years as one of the most influential and competitive NLP conferences. The event is held biennially and grew out of the International summer schools "Contemporary topics in Computational Linguistics", which were organised for many years as training events. RANLP invites papers reporting on recent advances in all aspects of Natural Language Processing (NLP).
The Professional Scrum Master I
Scrum.org
June 24, 2026 – Present
CS1156x, Learning From Data
edX
June 24, 2026 – Present
Computing for Data Analysis
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a strong inclination towards research, academia, and large enterprise environments. While the experience is highly technical and leadership-oriented, the project list primarily consists of organizing workshops and conferences, which are not direct data analysis projects. The target role is 'Data Analyst', but the candidate's recent roles are 'Lead Enterprise Architect in AI' and 'Global Architecture Lead in AI', which are significantly more strategic and less hands-on data analysis. This suggests a potential mismatch in the day-to-day responsibilities and a possible overqualification for a typical Data Analyst role, or a need for a more senior, architect-level data role. The breadth of skills is strong in AI/ML but lacks explicit mentions of core data analysis tools like SQL, advanced Excel, or specific BI tools, which are common for Data Analysts.
Soft Skills & Operational Fit
The candidate's experience in leadership, project management, and coordination roles (e.g., Network Training Coordinator, Associate Editor) suggests strong organizational, communication, and collaboration skills. Public speaking is also listed as a skill, indicating good presentation abilities. These attributes are beneficial for a senior Data Analyst who might need to present findings, lead projects, or collaborate with cross-functional teams.