Data Director (CDO, Chief Data Officer)

Data Director (CDO, Chief Data Officer)

APEXBANK invites a Chief Data Officer (CDO) — a leader who will form and implement a data management strategy and turn data into a controlled corporate asset trusted by business and regulators.

The role reports to the Board of Directors, and the CDO will head the Data Office and the Data Governance Committee.

• Develop and implement a Data Strategy as part of the bank's strategy (business, IT, digital transformation) — with measurable goals (DG Maturity, Time to Data, Time to Market)

• Build an operational Data Governance model: Data Governance Committee, domain model, data owners (business) and Data Stewards, policies, standards, and role model (RACI)

• Implement data management tools: business glossary, data catalog, metadata management, Critical Data Elements, and quality management (DQ rules, DQLA)

• Ensure end-to-end data traceability (Data / Business Lineage) and accuracy of regulatory and management reporting — up to self-verification of regulatory forms before submission

• Develop the corporate data platform (DWH / Data Lake / Lakehouse) and data architecture; integrate Governance into the change lifecycle (BRD / FSD)

• Ensure a single version of key entities (MDM): client, product, counterparty, organizational structure

• On a mature data foundation, launch and scale AI/ML initiatives (scoring, anti-fraud, personalization, predictive analytics) with model validation and control

• Develop an analytical culture, BI, and self-service analytics for business

• Form and develop a team of data specialists

• Build the Data Office and Data Governance Committee from scratch

• Create a unified corporate data platform and end-to-end change traceability

• Make data the basis for decision-making and raise the maturity of data management

• Develop AI and analytical services based on trusted data

• Practical experience in building a corporate data management function "from scratch"
• Expertise in Data Governance, Data Quality, MDM, metadata management, and Data Lineage
• Understanding of BCBS 239 and principles of risk data aggregation; experience in ensuring data quality for regulatory reporting
• Knowledge of the DAMA-DMBOK (and/or DCAM) model as a basis for maturity assessment
• Experience in creating/developing DWH, Data Lake, ETL/ELT, and modern data architecture
• Implemented projects in AI/ML and analytics
• Understanding of banking processes, information security requirements, and regulatory requirements of the Central Bank of Uzbekistan
• Strong leadership, strategic, and communication skills; ability to build interaction between business, IT, information security, and the Data Office