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Executive MBA | Global Business Development & Multi-Cloud Strategy | AI/ML | Kaggle Code Master | 20+ Professional Certifications
25 YEARS OF DRIVING GLOBAL IT GROWTH, bridging the gap between high-level strategy and deep technical execution. KEY EXPERTISE: - GLOBAL FOOTPRINT: 7+ years at Microsoft followed by 7+ years at Softline/Noventiq; spearheaded AWS & Azure growth strategy across EMEA, APAC, and LATAM. - STRATEGIC ALLIANCES: Led strategic initiatives for Global Strategic Collaboration Agreements (SCA) and drove the business integration of cross-border M&A acquisitions to build Global CCOEs. - AI/ML PRODUCT MANAGEMENT: Integrated cross-functional efforts across R&D and Marketing to build large-scale AI/ML platforms. Combined product leadership with deep technical proficiency (Kaggle Code Master, hackathon winner) to deliver market-standard solutions with a massive footprint. - HANDS-ON LEADERSHIP: Executive MBA combined with 20+ professional certifications to ensure strategic decisions are technically sound. FOCUS: Transforming complex technological shifts into measurable business value.
Antwerp Management School
Master of Business Administration (M.B.A.), Economics and Applied Economics
January 1, 2011 – January 1, 2013
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
postgraduate study, Applied Mathematics
January 1, 2003 – January 1, 2006
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Specialist, Applied mathematics
January 1, 1997 – January 1, 2003
Softline / Noventiq
Global AWS Strategic Program Manager
October 1, 2023 – December 1, 2025
Softline / Noventiq
Business Development Director (AWS)
October 1, 2021 – October 1, 2023
Softline / Noventiq
Business Development Director (Microsoft Azure)
December 1, 2018 – October 1, 2021
oneFactor / MegaFon
Product/Project Manager - Machine Learning
August 1, 2016 – December 1, 2018
Moscow, Russian Federation
Microsoft
Adviser - Microsoft Cloud and Machine Learning Technologies
March 1, 2016 – July 1, 2016
Moscow, Russian Federation
Microsoft
Principal Solutions Specialist - Microsoft Cloud (Azure) Lead - Incubation team
November 1, 2013 – November 1, 2014
Microsoft
Solution Sales Professional - Application Platform (OLTP, Data Warehouse, BI, ETL + Public Cloud)
May 1, 2011 – November 1, 2013
Microsoft
Senior Consultant
July 1, 2006 – May 1, 2011
CMA Small Systems AB
Software Engineer
August 1, 2001 – July 1, 2006
Microsoft Certified: Data Analyst Associate
Microsoft
June 24, 2026 – Present
TOGAF 9 Foundation
The Open Group
June 24, 2026 – Present
The Open Group Certified: TOGAF® 9 Certified
The Open Group
June 24, 2026 – Present
MCSD1: Visual Studio 6.0
Microsoft
June 24, 2026 – Present
MCSD1: Microsoft .NET
Microsoft
June 24, 2026 – Present
MCSE1: Windows 2000
Microsoft
June 24, 2026 – Present
MCPS: Microsoft Certified Professional
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Administrator Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Fundamentals
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
Amazon Web Services Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
DP-200 Implementing an Azure Data Solution
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Engineer Associate
Microsoft
June 24, 2026 – Present
Microsoft 365 Certified: Fundamentals
Microsoft
June 24, 2026 – Present
AWS Knowledge: Security Champion - Training Badge
Amazon Web Services (AWS)
June 24, 2026 – Present
Microsoft Certified: Security, Compliance, and Identity Fundamentals
Microsoft
June 24, 2026 – Present
Microsoft Certified: DevOps Engineer Expert
Microsoft
June 24, 2026 – Present
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified DevOps Engineer – Professional
Amazon Web Services (AWS)
June 24, 2026 – Present
Migration Ambassador Foundations (Business) 2022
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Partner: Generative AI Essentials (Business)
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Partner: SAP on AWS (Business)
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Knowledge: Block Storage
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Knowledge: Object Storage
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Knowledge: Serverless
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified SysOps Administrator – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Data Engineer – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on business development and strategic program management within large technology companies (Microsoft, Softline/Noventiq). While they have a solid technical foundation and relevant certifications for a Data Analyst role, their recent experience is heavily skewed towards business and alliance management rather than hands-on data analysis, modeling, or visualization. This might indicate a potential mismatch with a purely technical Data Analyst role, suggesting a better fit for a role that combines data insights with strategic business impact or product management. The diversity of their roles across different cloud platforms (AWS, Azure) and their experience in ML product management demonstrate adaptability and a broad understanding of the tech landscape.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, problem-solving, and cross-functional orchestration skills through their various business development and program management roles. Their experience in building and scaling global operations suggests a high degree of operational fit for roles requiring strategic execution and stakeholder management. The candidate's background in product management for ML services also indicates an ability to bridge technical and business requirements effectively.