Head of Data Management Department
| Application closing date: | 06.11.2026 |
| Location: | Yerevan, Head office |
Role description:
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.
What will you gain?
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:
- health insurance;
- travel insurance;
- favorable terms of Evoca products and services;
- holiday and year-end bonuses;
- bonuses on marriage, birth of a child;
- paid days off;
- sport package;
- English language trainings;
- 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).
What will you be doing?
- formulation and execution of approaches and priorities for the development of the Bank's data governance and business analytics;
- ensuring unified definitions, quality, and comparability of core data, reports, and metrics used across the Bank;
- coordinating the definition and development of business requirements for DWH, data marts, OLAP structures, and other analytical data solutions;
- coordinating cross-functional collaboration between the Bank's IT units, external vendors, and business units within the framework of data and analytical projects;
- 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;
- identifying repetitive manual calculations and reporting to initiate their standardization and automation;
- overseeing the application of statistical, machine learning (ML), and AI models to solve business challenges;
- coordinating the development of models for customer segmentation, churn, propensity, customer lifetime value (CLV), sales and revenue forecasting, anomaly detection, and others;
- ensuring the evaluation of quality, stability, applicability, and business impact of analytical and modeling outputs;
- defining analytical project priorities and expected business outcomes in collaboration with business units;
- supervising the accuracy and completeness of data, reports, analytics, and models provided by the department;
- building the department's team, developing staff professional competencies, and ensuring consistent application of knowledge and methodologies;
- regularly presenting main department outcomes, data quality issues, analytical insights, and development recommendations to senior management.
What skills are we looking for?
- higher education in Finance, Economics, Data Science, Applied Mathematics, Information Technology, or a related field;
- managerial experience in Business Analytics, BI, Data Governance/Management, or Data Science;
- solid understanding of core banking processes and financial metrics;
- strong knowledge of DWH, SQL, BI tools, and data governance principles;
- general understanding of practical applications for statistical and machine learning methods;
- ability to translate business requirements into data and technical solutions;
- strong analytical thinking, project management, and team leadership skills;
- ability to collaborate and communicate effectively with diverse business and technical teams.
Please send your CV to [email protected] by indicating "Head of Data Management Department" in the subject line of the e-mail.