Strategy and Products
Market and customer needs research, development concepts, product metrics, financial logic and materials for management decisions.
PJSC Sberbank · November 2023 — Present
A project lead role connecting the development of a new product line, transparent economics, analytical infrastructure and intelligent digital services.
Professional context
Partner, or Islamic, finance demands product expertise, accurate accounting, transparent economics and technological scalability at the same time. My task is to connect these elements — from market research and strategy to data mart prototyping, dashboards, financial models, knowledge bases and AI agent prototypes.
Four work areas
Market and customer needs research, development concepts, product metrics, financial logic and materials for management decisions.
Retrieving and validating data from corporate repositories, prototyping data marts, product dashboards and portfolio operational oversight.
Separate product and management accounting, budgeting, business planning, margin analysis, funding and monitoring of key indicators.
RAG systems, expert knowledge bases, AI consultant prototypes and testing GenAI scenarios for consulting, analytics and operations.
Development path
Regular product data extracts, analytical representations, sales and portfolio control tools were established. A product portfolio dashboard was built from scratch, and product separation in corporate reporting was supported.
A unified knowledge base, RAG systems and an AI consultant prototype were developed; market research, a concept and a financial model for the direction, a resource plan and a key metrics system were prepared.
Key projects
Regulatory, product and methodological information structured for employee training, customer support and AI agent operations.
A prototype combining expert knowledge, search across trusted sources and a clear user interface.
Dashboard built end-to-end and maintained in working order: data marts, sales, balances, revenues, portfolio dynamics, plan performance and indicators for management decisions. Separate case study →
Organised development of a response-probability model and pilot campaigns for more personalised customer engagement.
Market research, product concept, financial model, objectives, metrics and resource plan combined into a cohesive framework.
Working approach
Not just a memo — the output is a process, model, dashboard, knowledge base or prototype.
A common language across functions — bridging business, products, data, IT, finance, risk and methodology.
Verifiable logic — trusted data, transparent calculations and embedding the solution into regular workflows.
Competencies and technologies
Strategy and business planning · financial modelling · management and product accounting · budgeting · product analytics · SQL · PostgreSQL · Greenplum · Hadoop · Trino · Python · Jupyter · DBeaver · Qlik Sense · RAG · LLM · AI agents · multi-agent systems
This page reflects Anton Konnov's personal professional experience and does not constitute an official position, advertisement or product offering of PJSC Sberbank. Closed data, internal metrics and confidential materials are not published.