AVP Data Architect

The main purpose of Data Architect is to oversee a company's various data systems. They are responsible for organizing, storing, and analyzing data as efficiently as possible while always upholding agreed-upon security standards. As an experienced Information Architect professional, your mission is to help lead our team of innovators and technologists toward creating next-level solutions that improve the way our business is run. Your deep knowledge of design, analytics, development, coding, testing, and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission-critical problems, internally and externally. Your quest to embrace leading-edge technologies and methodologies inspires your team to follow suit.

Responsibilities of the Role

• Subject matter expertise in technologies (TD, HD, BDA, R, Python) and Data Management.
• Understand and deliver data modeling requirements: physical and logical data modeling.
• Drive data quality enhancements at scale to solve business problems in a prioritized manner.
• Build and support data flow integration between different products, increasing the capabilities of our product and expanding its use across the firm.
• Ability to understand and deliver client requirements end-to-end for reference data and data lake-aligned use cases.
• Ensure proper risk management processes are adhered to, to mitigate risk exposure for the firm.

Perform impact analysis of new system integration. Work on impact analysis to reference data (domain/dimension; data elements/properties; base members/data sets; hierarchies) to ensure compliance with Data Governance principles. Manage critical relationships with consultants and vendors, internal end users, and business customers/leadership.

Understand & interpret upstream and downstream data flow, do data profiling, data mapping, and check data quality from source to target. They play a gamut of roles, from acquiring massive amounts of data to processing and summarizing it as per business need/demand. Using analysis software tools, analyze extracted data to identify patterns, relationships, or trends to answer data-related questions posed by business or end users.

Hard Skills / Requirements

Technology Infrastructure (HW, SW & Applications hosted) Expertise:

• Ability to understand in depth how technology products are delivered as per requirement.
• Ability to understand what data needs to be collected and how it can be collected to meet the Maybank requirements.

Strong Data Architecture experience.

Advanced understanding of reference data, data lake, and other information system solutions:

• Experience integrating multiple systems together to create an intelligent and resilient information system solution.
• Ability to use industry-standard tools to create logical and physical data models for technology infrastructure and reference data.

Information System Design:

• Experience delivering or supporting information systems using extract, translate, load (ETL) and publishing methods.
• Understanding the right technical solution to represent the data appropriately to meet the client requirement.
• Experience with performance tuning of information systems (e.g., streamlining ETLs to run faster).

Data Quality Experience:

• Understanding the core concepts of data quality: how to measure and improve.
• Ability to analyze data for data quality gaps.
• Understanding what data quality issues pose the greatest risks to the Maybank operations and raising those to governance effectively.

Support development, enhancement, and maintenance of multiple datasets. Evaluate datasets for consistency, completeness, accuracy, and reasonableness.