The Finance Department is launching a strategic project to create a comprehensive analytical system in the bank's finance.
Goal — to radically improve the speed and quality of decision-making for profitability management. As part of this role, we are looking for a specialist who will become a key link between business, finance, and IT teams (MIS data storage and processing team, and Data Science team).
Key feature of the position: This is a technically savvy product manager role, focused on interaction with MIS and Data Science.
What you will be doing:
Managing data and AI solutions:
- Forming and agreeing on business requirements (BR) / technical specifications for the development of new data marts and refinement of existing ones
- Forming BR for the development of AI/ML solutions for anomaly detection, factor analysis, and identification of causes for deviations in indicators
- Interacting with MIS, Data Science teams, and data providers to form a unified data landscape
- Monitoring data quality and correctness of model results
Managing the product and backlog:
- Prioritizing tasks and managing the overall backlog for the analytical system development with an emphasis on interaction with IT teams
- Assessing financial efficiency in product management, good understanding of P&L and NPV
- Monitoring the work of MIS and DS teams and ensuring timely delivery of quality data
- Defining the detail of project tasks, forming and controlling the execution of the roadmap, considering technical limitations and capabilities of the existing data landscape
Coordination and strategy:
- Building end-to-end analytics workflows: from data source to the final data mart
- Coordinating the work of cross-functional teams (MIS, Data Science, Business, Risk, Finance)
- Organizing working meetings and conducting synchronizations: you will speak the language of MIS developers (data structures, models) and Data Science (features, models), translating it into the language of business and management
- Communicating with management and stakeholders, preparing analytical and presentation materials
- Organizing the process of implementing tools into the regular activities of departments
We expect you to:
- Have a higher education in economics, finance, mathematics, or IT.
- Possess deep knowledge of data structures in a bank: understand how data warehouses are structured, what data marts are, what raw data layers are, and how they are transformed.
- Have an excellent understanding of retail banking products and P&L formation processes, and be able to assess the financial results of a product.
- Speak the same language as data providers and MIS. Proficient in SQL (at a level of confident query writing, optimization, and data analysis).
- Understand the principles of ML model operation (anomaly detection, clustering, factor analysis) and their limitations, have experience interacting with DS teams (tasking, metric alignment, result acceptance).
- Know Python for data analysis and quality check automation.
- Have at least 3 years of practical experience in the banking sector (finance, risk management, or analytical departments).
- Have an excellent understanding of retail banking products and P&L formation processes.
- Understand planning and factor analysis processes.
- Have experience launching and implementing complex analytical systems or data products from scratch or at the scaling stage (a decisive advantage).
- Have experience working with the MIS backlog: be able to form requirements for data mart development, set development tasks, check results, and control quality.
- Possess product and project management skills.
- Know how to manage priorities between new requests and technical debt.
- Have outstanding leadership and communication skills, capable of working at the intersection of business, finance, MIS, and IT.
- Have systematic thinking and a structured approach, be able to build data quality control processes.
What we offer:
- A comfortable modern office near Kutuzovskaya metro station.
- Annual salary review, annual bonus.
- Corporate gym and recreation areas.
- Sber's unique training system for professional and career development.
- Expanded voluntary medical insurance and preferential family insurance.
- Flexible mortgage discount equal to 1/3 of the Central Bank's key rate.
- Free SberPrime+ subscription, discounts on partner company products.
- Referral bonus for recommending friends to the Sber team.
- Corporate pension program
