Head of Data Value Management at Sber

Sber is looking for a Head of Data Value Management to build a data value assessment system within the bank and lead the development of an internal data exchange.

You will be responsible for developing a methodology for measuring the effect of data products, implementing A/B testing and value tracking practices, forming a portfolio of B2C data products, and launching a Data Marketplace as a unified space for finding, ordering, using, and evaluating data.

The main mission of the role is to build a data value management system in the bank: from the methodology for assessing the effect of data products to the implementation of A/B testing, value tracking, product metrics, and an internal data exchange. The role is at the intersection of data management, product management, business analytics, experimentation, DWH, ML/AI, and B2C business.

What you will do:

• Build a data value management system in the bank: from the methodology for assessing the effect of data products to the implementation of A/B testing, value tracking, product metrics, and an internal data exchange.
• Answer the key business question about the real value that data creates for the bank, clients, and business processes.
• Establish an internal data exchange (Data Marketplace) where business users can find, order, use, and evaluate data products.
• Manage the quality, cost, demand, and economic effect of data products for CDO teams.
• Formulate the vision and roadmap for the product (or direction).
• Collect and prioritize data requirements from the business.
• Define the MVP and build the backlog for the team.
• Launch new processes and products in a large organization.
• Work with adoption and usage metrics, collect feedback, and analyze product metrics.
• Interact with business stakeholders, translating their needs into specific data requirements.
• Coordinate work with IT, DWH, Data Science, BI analysts, architects, and business process owners.
• Be able to establish a correct methodology for measuring value (including A/B tests, control groups) together with analysts and explain it to the business.

Requirements:

• At least 5 years of experience in data product management, analytics, DWH/BI, or Data Governance.
• Skills in assessing the business impact of analytical solutions and models.
• Practical experience in conducting A/B tests.
• Experience in forming methodologies, processes, and management materials.
• Strong communication skills for working with business and IT.
• Knowledge of data warehousing (DWH) principles and data lifecycle.
• Knowledge of value measurement methods: ROI, uplift analysis, causal inference.
• Knowledge of product management fundamentals (vision, roadmap, MVP).
• Experience launching a data marketplace or data catalogs.
• Understanding of banking products (loans, cards) and B2C marketing.
• Knowledge of ML/AI use cases (scoring, recommendations) and MLOps fundamentals.
• Possess systematic thinking, entrepreneurial approach, results-orientation, and the ability to explain complex concepts in simple terms.
• Use neural networks in your work.

What we offer:

• Comfortable modern office near Kutuzovskaya metro station.
• Annual salary review, annual bonus.
• Corporate gym and rest areas.
• Sber's unique training system for professional and career development.
• Extended voluntary medical insurance and preferential insurance for family.
• Flexible mortgage discount equal to 1/3 of the Central Bank's key rate.
• Free SberPrime+ subscription, discounts on products from partner companies.
• Reward for recommending friends to the Sber team.
• Corporate pension program