Leading the Data Governance division at a top FinTech organization, with a strong focus on:• Ensuring strict adherence to Data Governance policies and procedures.• Developing and maintaining robust business processes for successful data governance.• Defining strategic goals to enhance data quality and protect sensitive information.• Engaging with stakeholders to gather their requirements, translating them into actionable system requirements, and ensuring their successful implementation.• Overseeing project management to guarantee timely and successful project execution.• Coordinating team efforts and utilizing Jira for effective collaboration and progress tracking.Key achievements:• Established comprehensive Data Governance procedures, ensuring top-notch data quality, policy development, and the creation of a detailed Data Catalog.• Conducted IT strategy consulting for several Asian banks, identifying areas for improvement and optimizing their business and IT processes.• Directed the creation of a Data Warehouse for a major Uzbek bank, integrating diverse data sources into a cohesive, automated system.

Steered cross-functional teams to deliver cutting-edge fintech products using Scrum methodology. Key responsibilities included:• Leading efforts to adhere to data governance policies and ensuring data quality.• Collaborating closely with data science teams to address key business problems and recommend data improvements.• Managing the entire product lifecycle, from conceptualization to post-delivery, with a focus on innovation and process development.• Effectively engaging with stakeholders, capturing their requirements, and translating these into comprehensive product plans for successful implementation.• Utilizing agile methodologies for efficient product development and continuous improvement.• Demonstrating strong project management, planning, tracking, and organizational skills to deliver quality products on time and within budget.• Leading CRM, retail risk, collection, and optimization teams to achieve and exceed business objectives.

Drove the implementation of innovative decision systems for retail loan applications. Key responsibilities:• Led the implementation of a cutting-edge decision system for retail loan applications using SAS RTDM, enabling faster and more accurate loan processing• Delivered a minimum viable product (MVP) for small business credit decision-making.• Developed comprehensive business requirements documents (BRD) for new credit conveyor projects.

• Successfully automated the credit decision-making process, resulting in a significant decrease in NPL90+ from 15% to 1.5%, using advanced technologies and methods• Managed a high-performing team, preventing personnel turnover and ensuring successful project completion• Initiated changes in technologies and methods of crediting, conducting thorough business analysis and architecture elaboration to drive innovation and efficiency• Managed change management systems involved in the decision-making process, with full cycle control from business idea to replication and industrial operation• Utilized cutting-edge technologies and methodologies to optimize business processes and improve overall performance

Orchestrated the development and optimization of retail credit conveyor strategies. Key responsibilities:• Implemented and optimized the loan application processing system.• Enhanced user experience by redesigning the BPM platform.• Strengthened loan processing security with anti-fraud system updates.• Built and retained a robust team to drive success.