HEAD DATA PLATFORMS

DATA PLATFORMS HEAD

Job Purpose

Create a strong enterprise data roadmap, strategy and execution to enable a data-driven organization that will ensure scalability and reliability of data platforms and availability, usability, integrity and security of data employed across the enterprise to support management in delivering business growth, organizational performance and enable a delightful client experience by delivering a single customer view

Responsibilities

3.1. Data Warehouse – owns, oversee the design and operations of enterprise data platforms. Leads platform engineering and data enablement teams and work closely with data infrastructure and data architecture ensuring business alignment. Implement robust data pipeline automation and drive modernization initiatives. Owns the enterprise data platform roadmap, aligned with business, analytics and AI roadmaps. Partners with business, analytics and IT leaders to translate data needs into platform capabilities ensuring timely and accurate delivery of datamarts for customers, products, channels and transactions used for management, scorecard reporting, data analytics and leads generation.

3.2. Data Visualization – leads in the timely and accurate delivery of the performance data used for management, scorecard reporting, data analytics and visual analytics. Proactively oversees that the approved business rules on the performance metrics are implemented and efficiently manage the application the profitability formulas. Champion best practices in data visualization, UX, and information design ensuring all dashboards, reports, and visual products are intuitive, accurate, and decision‑focused. Partner with business leaders to understand decision needs and craft compelling stories with data. Enable self‑service analytics while maintaining governance and data integrity. Establish review and certification processes for critical dashboards and management reporting.

Oversee the development and evolution of enterprise BI and visualization tools.

3.3. Decision Support Data Platforms - Overall management of the Customer Information System (CIS) of the bank and other data platforms (CDA, BDV), delivering the single customer view and supporting the data requirements of the bank, as a single source of truth. Proactively ensures timely delivery of RM2 and other data platforms-related projects and any projects where RM2 System or other data platforms are affected applications. Lead in the implementation, resolution and closure of the projects and Maintenance Requests (MRs) that includes Data Patch & Data Extract. Lead in management of the enterprise access rights relative to the Customer Information System and the enterprise data platforms. Ensures that all access rights documents are updated and reviewed in accordance with the banks’ policies.

4.1 Financial Responsibility

Responsible for managing and approving the budget for the division.

Indirect: Unibank NIAT by providing effective management reporting and enterprise data support

5.1 Decision Making

• Provides business requirements for projects and participates in the assessment of vendors for new data tools and technology
• Recommends necessary change in the organizational structure of the division handled
• Recommends relevant programs for the division and the group
• Provides input on budget priorities and provides justification, if needed.
  
  

• 15 years and above, Data Management, Data Warehousing, Data Architecture, Data Engineering, Data Visualization and Story telling, Customer 360
• Good technical expertise in data architecture principles and design aspects of various data models
• Good Knowledge in tools and technologies to support Data Governance and Data Management – Dara architecture, Data Quality and reconciliation. Reference/master data management, data modeling, data catalogue, data modeling techniques and other data management tools
• Knowledgeable on Data Privacy and Regulatory rules and guidelines.
• Pro-active leadership skills with fifteen (15)) or more years’ people leadership experience
• Strong leadership stance in balancing strategic alignment between the enterprise data roadmap and the emerging industry trends, ensuring practical delivery
• Good technical expertise in data architecture principles and design aspects of various data models and report/dashboard concepts
• Strong analytical, problem-solving, time management and organizational skills
• Able to multi-task, prioritize and execute
• Strong interpersonal skills, inspiring, can coach and mentor both tenured and young, energetic team
• Strategic thinker and a leader capable of being a team player in every aspect
• Driven to motivate and lead teams to achieve goals
• Passion for operational efficiency, quantitative performance and process and compliance orientation
• Ability to lead by example by living the BPI NICE culture and influence or drive change at strategic, tactical levels
• Ability to inspire others to do better and excel in their field
• Experience in leading teams producing reporting/analytics data including managing functional data stores, data models and data warehouses.
• Experience in Data Management and data modernization execution
• Actual Dashboards implementation and operationalization
• Strong in-depth knowledge in operationalizing data policies, controls and procedures
• Good working knowledge and experience in data modeling, data analytics and data management tools
• Bachelor’s Degree in Management / Economics / Business Related Course / Data Analytics / IT
• Master’s Degree in Management / Economics / Business Related Course / Data Analytics