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Biography
Graduated from Moscow State Pedagogical University named after V.I. Lenin.
2003: NPF Promregionsvyaz
From 2003 to 2005 - sales manager of NPF Promregionsvyaz.
2005: Gazprombank
From 2005 to 2009, she went from an employee of the Customer Transaction Support Department - legal entities to a financial analyst of the investment block of Gazprombank LLC.
2010: Neoflex Consulting
In 2010-2011 - Deputy Director of the Department of Analytics in the direction Datastores of "and analytical applications" - IT company, ZAO "."Neoflex Consulting
2011: R-Style Softlab
From 2011 to 2013 - Deputy Director of the IT Analytical Systems Department, R-Style Softlab.
2014: Rosbank
From 2014 to 2018, she headed the Department of Analytical Systems of Rosbank PJSC, Societe Generale Group.
2018: VTB Bank Vice President
Since 2018 - Vice President, Managing Director of the Transformation Department - Chief Data Officer (CDO) of VTB Bank PJSC.
CDO Key Responsibilities:
- Formation of a strategy for the development of data management;
- Create and implement policies, data standards;
- Development and implementation of business processes and role model of data management;
- Create rules, requirements and key performance indicators for participants in data management processes;
- Implementation of an industrial IT data management system;
- Build data quality control and monitoring.
2020: Author of an article on the main errors and issues that arise in the process of building a data management system
In January 2020, Svetlana Bova prepared an article for TAdviser on the main errors and issues arising in the process of building a data management system.
Examples of implemented projects
- Implementing Data Management Tools (IBMData Governance Catalog, Informatica Axon)
- Creation of reporting systems (management,, IFRS regulatory for) CENTRAL BANK RUSSIAN FEDERATION in financial groups and large (banks PJSC "," Rosbank JSC Rosselkhozbank",,,, NOMOS-Bank MDM Bank etc ING Group.).
- Manage strategic reporting automation projects using both relational enterprise data warehouses and Big Data technologies (idea development, budgeting, work planning and control, risk, resource management, contractor control and coordination, commissioning).