Vladimir Lovtsov
Director of Engineering · Technology Leader · AI Practitioner
Technology Director and Engineering Leader with ~10 years designing high-load enterprise systems in financial services. Architected a Real-Time + Batch Decision Engine — a SAS RTDM analogue from zero to production in 5–6 months: real-time per-customer decisioning and a rebuilt batch run of the entire client base — from ~a month of manual recalculation to ~2 days, with 150+ business filters applied automatically. The solution drove billion-scale revenue. Managed a multi-product technology portfolio across several product lines, built and scaled cross-functional engineering teams. Implemented AI agents accelerating development by 30–60%. Speaker at HighLoad++, Analyst Days, and 10+ industry conferences. BMSTU graduate. Certain project metrics are confidential under NDA.
Experience
T1 Holding
Development Cluster Lead · Director of Portfolio Management
Moscow · 26,000+ employees
Client:
VTB Bank · Real-Time & Batch Decision Engine
· 2023 – Present - ▸ Architected and delivered Real-Time + Batch Decision Engine — a SAS RTDM analogue from zero to production in 5–6 months: sub-second per-customer decisioning under peak load across the bank's entire client base, tens of TB/day streamed
- ▸ Delivered personalised offers across all credit products for the bank's entire client base in real time; rebuilt the legacy client-wave calculation into a single automated pipeline — the full-base run dropped from ~a month of manual recalculation to ~2 days, with 150+ business filters applied automatically. Billion-scale revenue
- ▸ Built 2 cross-functional teams from scratch (20+ engineers: developers, analysts, QA, DevOps) — 12+ releases per quarter; teams ranked top in department by TTM
- ▸ Created Mirion graph platform (2021–2023): from analytics lab concept to production solution for customer relationship analysis and fraud detection
- ▸ Launched TechnoHub: 14 engineering guilds, 900+ participants — documented effect: 4–8× faster cross-team problem resolution
- ▸ Designed and launched System Analysis course (middle+ level) at T1 Digital Academy; mentored Data Engineering course
- ▸ Managed a billion-scale technology portfolio across multiple product lines; secured budgets at executive level
VTB Bank
Lead System Analyst · Full-Stack Data Analyst
Moscow · 50,000+ employees
- ▸ Designed ETL architecture processing 50M+ records daily, reducing data prep time by 40%
- ▸ Built predictive customer behavior models, improving forecast accuracy by 25%
- ▸ Implemented Data Quality Management framework, reducing data incidents by 60%
- ▸ Cut hypothesis-to-production cycle from 3 months to 6 weeks across 3 cross-functional teams
Kerama Marazzi
Senior Data Quality Analyst
Moscow · Mohawk Industries (NYSE: MHK)
- ▸ Designed MDM architecture for corporate data warehouse, standardising 500,000+ product SKUs — cross-functional project with ~60 participants
- ▸ Presented and secured Data Governance project approval from Kerama Marazzi CEO and President — reduced data duplication by 35%, master data accuracy 98%
- ▸ Built automated SAP integration validation system, eliminating 90% of manual checks
Nestlé
Data BackOffice Manager · Financial Analyst
Moscow · 300,000+ employees globally
- ▸ Optimised data processing workflows: SLA from 60 to 5 days — 12× improvement
- ▸ Automated financial reporting for 15+ product categories, saving 20+ manual hours per week
- ▸ Launched digital merchandising project, automating retail data collection and analysis
Skills
Architecture & Systems
AI / ML
Engineering
Leadership
Education
Bauman Moscow State Technical University
Moscow, 2016–2017
- ▸ Master of Economics — Engineering Business & Management, Finance & Credit (2017)
- ▸ Engineer — Nanoengineering in Electronics (2016)
- ▸ Engineer — Electronic Engineering (2016)