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, 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
- Bachelor's Degree in Statistics, Mathematics, Economics, Data Science, Engineering, or a related field
- At least three (3) years of relevant experience in Data Management, Data Engineering, Risk Modeling, Data Science/Analytics, Credit Risk Management, Collections, Fraud Management, or related disciplines within the consumer lending industry
- Strong understanding of Data Modeling, Data Analytics, Data Storytelling, Data Management/Engineering, and Project Management
- Proficient in analytical and data management tools such as SAS, Python, VBA, Tableau, and credit, collections, or fraud management systems
- Strong analytical, critical thinking, and problem-solving skills
- Excellent verbal and written communication skills, with the ability to translate complex data into clear, concise, and actionable insights
- Strong negotiation and stakeholder management skills
- Demonstrated people management and leadership capabilities
- Ability to build and maintain effective working relationships with internal stakeholders
- Ability to independently define business problems, develop analytical approaches, and generate data-driven insights and recommendations
- Ability to thrive in a fast-paced environment and consistently deliver high-quality outputs within established timelines
- Advanced proficiency in Microsoft Office applications (Word, Excel, and PowerPoint), Python, VBA, and Credit Management Systems
Job Details
| Role Level: | Not Applicable | Work Type: | Full-Time |
|---|---|---|---|
| Country: | Philippines | City: | Manila National Capital Region |
| Company Website: | https://www.bpi.com.ph/ | Job Function: | Data Science & AI |
| Company Industry/ Sector: |
Banking | ||
What We Offer
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