Artem Milkov
Solutions Architect Technology & Delivery Leader @Siemens
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WORK HISTORY
Solutions Architect Technology & Delivery Leader @Siemens
Munich, DE
Advanced company-wide digital transformation initiatives within Data & AI (cloud-first, data mesh, agents) through the Professional Services execution arm.– Founded and scaled the global Data & AI Professional Services function, owning strategy, presales, staffing, P&L, and delivery; generating €3m+ annual revenue.– Scaled AWS & Snowflake delivery capacity from 0 and managed a team of 40+ data and cloud engineers, meeting rapidly growing demand fueled by strategic Data & AI initiatives.– Owned solution and target architecture design across the Data & AI ecosystem, with primary delivery focus on Snowflake & AWS and broad advisory coverage across Azure, Power BI, SnapLogic, Airflow, Kafka, Neo4j & AI.– Established and scaled data domains (Factories, Cybersecurity, HR, Quality, EHS & others) under a data mesh approach, advising on governance and delivering consumer-aligned data products for cross-domain consumption.– Led creation of data products for AI/agent use cases and delivered selected PoCs for conversational AI/chatbots.– Drove multi-million-euro RfPs and vendor selection, aligning internal stakeholders and partnering with procurement on negotiations; achieving six-figure annual cost savings.
EDUCATION
Technical University of Munich
Master of Science - MS, Computer/Information Technology Administration and Management
University of Toronto
Bachelor of Commerce (B.Comm), Finance and Economics
ABOUT ARTEM MILKOV
Senior Solutions Architect and Technology & Delivery Leader with 10+ years in enterprise Data & AI, cloud, and analytics. Built and led a global Data & AI Professional Services function (strategy, presales, P&L, delivery), scaling to 40+ engineers and €3m+ annual revenue. Own end-to-end target architecture and solution design across AWS/Snowflake & adjacent platforms, delivering governed data mesh domains and consumer-aligned data products, enabling AI/agent use cases at scale.
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