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Head of Data Management Department
Evocabank
Armenia · On-siteSalary not disclosedfull-timeEvocabank Careers
Evoca is seeking a Head of Data Management Department who will be responsible for effectively leading the Bank's business analytics, data management, quality assurance, analytical solutions, and data science operations. The Head of Department will ensure efficient managerial and business decision-making based on reliable, unified, and accessible data.
Responsibilities
- Evoca is seeking a Head of Data Management Department who will be responsible for effectively leading the Bank's business analytics, data management, quality assurance, analytical solutions, and data science operations. The Head of Department will ensure efficient managerial and business decision-making based on reliable, unified, and accessible data.
- We are committed to ensuring everyone can flourish in their roles by creating a working environment that supports wellbeing and provides a generous benefits package, a wide range of career and personal development opportunities. By joining Evoca, you will get:
- large opportunities for continuous learning and development (participation in international conferences, business trips abroad, opportunities to get international certifications and study in top universities worldwide).
- formulation and execution of approaches and priorities for the development of the Bank's data governance and business analytics;
- coordinating the definition and development of business requirements for DWH, data marts, OLAP structures, and other analytical data solutions;
- ensuring processes for data quality control, data lineage, data dictionary, and metric calculation logic management;
- leading the fulfillment of analytical and data requirements from business units, ensuring timely, accurate, and efficient execution;
- promoting the development and automation of reporting, dashboards, and interactive analytical solutions using Power BI, Streamlit, and other tools;
- coordinating the development of models for customer segmentation, churn, propensity, customer lifetime value (CLV), sales and revenue forecasting, anomaly detection, and others;
- building the department's team, developing staff professional competencies, and ensuring consistent application of knowledge and methodologies;
Languages
- Work format
- On-site
- Seniority
- Head
- Added
- 25 Oct 2026
- Last verified
- In the last 3 days
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