DATA MANAGEMENT OFFICER

Bank of the Philippine Islands (BPI); Makati; Sur place; PHP 600 000 - 1 200 000; Plein temps

Résumé du poste

Bank of the Philippine Islands (BPI) is seeking a Data Management Officer to establish a structured quality data environment for the Unsecured Lending and Cards Group. The role focuses on collection, maintenance, and analysis of data from diverse internal and external sources to support analytics and MIS across the division.

The incumbent will design data models, warehouses, data lakes, and data marts, enforce data quality standards, and coordinate with ISG, BDW, and TSD on data requirements for

Qualifications

• Bachelor’s degree in statistics, mathematics, economics, data science, engineering or related field.
• At least three years in data management, data engineering, risk modeling/data science, or related consumer lending roles.
• Knowledge of data modeling, data insights, analysis/storytelling, and data management/engineering.

Responsabilités

• Builds and manages data extract files from various sources for demographics, risk, financials, and credit data.
• Designs and develops data models, warehouses, data lakes, and data marts to support MIS, analytics and data science.
• Ensures data quality and scalability of models, coordinating with external data teams on enterprise data warehouse development.
• Oversees data standards, controls, and data security in line with information security policies.
• Collaborates with ISG, BDW, and TSD on system development and MIS data requirements.
• Guides analysts in data collection activities and supervises data analysts on deliverables.

Connaissances

SAS

Python

Data Modeling

Data Analysis

Data Management

Tableau

MS Excel

Formation

Bachelor's Degree in Statistics

Bachelor's Degree in Mathematics

Outils

Tableau

SAS

Python

VBA

Description du poste

The Data Management Officer is responsible for providing a structured quality data environment tailored to the unique needs of each process across the Unsecured Lending and Cards Group. The position supports the Division's analytics and data strategies through the collection, maintenance, and analysis of data from various internal and external sources.

Main Accountabilities

• Builds, structures, collates, secures, and makes available all data extract files of the Group from various internal and external sources encompassing demographic, risk, business and financial, transactional, credit bureau, and other alternative data
• Designs and develops data models, data warehouses, data lakes, and data marts to support the data requirements of business operations, MIS and reporting, analytics, and data science studies within the Group
• Understands business and transformation rules employed to derive data elements and data aggregations and conducts analyses to ensure that collected data is adequate and matches requirements
• Enhances established data models to ensure scalability and relevance to users and collaborates with external data teams on the development of the Enterprise Data Warehouse
• Oversees the integration of new technologies and initiatives into data standards and structures and manages all incoming data files
• Formulates techniques for quality data processing to ensure data accuracy and adequacy and creates and enforces procedures for effective data management
• Establishes policies, procedures, and controls affecting data quality, usage of data lakes and data marts, and requests for data extraction
• Assesses and drives changes in operations and systems to maintain data quality, develops standards for handling and archiving data, and troubleshoots data-related problems, including the authorization of maintenance and modifications
• Ensures data and information security by integrating and upholding information security policies
• Coordinates with data stakeholders such as ISG, BDW, and TSD on system development and enhancement requirements for MIS generation and data building, including the preparation of business requirements
• Provides guidance to analysts within the Group to enable effective and independent data collection activities
• Supervises, trains, and guides Data Analysts on data management functions and deliverables

Qualifications

• Bachelor's Degree in Statistics, Mathematics, Economics, Data Science, Engineering, or a related discipline
• At least three (3) years of experience in Data Management, Data Engineering, Risk Modeling/Data Science, Credit Risk Management, Collections, Fraud, Data Science/Analytics, or related disciplines in the consumer lending industry
• Knowledge of Data Modeling, Data Insighting, Analysis/Storytelling, Data Management/Engineering, and Project Management
• Proficient in data and analytical tools such as SAS, Python, VBA, Tableau, and credit, collections, or fraud systems
• Strong analytical and problem-solving skills
• Excellent written and oral communication skills with the ability to convey complex data in a concise and understandable manner
• Ability to establish and manage relationships with internal stakeholders
• Ability to frame business problems independently and design comprehensive analyses to provide insights and recommendations
• Ability to work in a fast-paced environment and meet deadlines without sacrificing quality
• Proficient in MS Word, MS PowerPoint, MS Excel, Python, VBA, and Credit Management Systems