DATA MANAGEMENT OFFICER

Bank of the Philippine Islands (BPI); Manila; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Bank of the Philippine Islands (BPI) seeks a Data Management Officer to create a structured, high-quality data environment for Unsecured Lending and Cards. You will collect, maintain, and analyze data from internal and external sources to support analytics and data strategies.

Your role includes designing data models and warehouses, ensuring data adequacy, and collaborating with data teams to advance the Enterprise Data Warehouse, while upholding data security policies.

Qualifications

• Bachelor’s degree or higher in a quantitative field.
• Minimum 3 years in data management, data engineering or related roles in consumer lending.

Responsibilities

• Builds, structures, collates, secures, and makes available data extracts from multiple sources.
• Designs and develops data models, data warehouses, data lakes, and data marts to support MIS and analytics.
• Ensures data quality and alignment with business rules across processes.

Skills

Data Modeling

Data Engineering

Analysis/Storytelling

Project Management

Written and oral communication

People management

Education

Bachelor's Degree in Statistics, Mathematics, Economics, Data Science, Engineering, or related field

Tools

SAS

Python

VBA

Tableau

Credit Risk/ Fraud Systems

Job description

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, develop standards for handling and archiving data, and troubleshoots data-related problems
• 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
• Strong negotiation skills
• Good people management skills
• 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