Senior Specialist - Data Modeling

Job purpose

Responsible for analyzing and improving current data models and building an organizational data model that represents the CB and its relationships to the licensed financial institutions. Focused on reducing data redundancy, improving data migration, or facilitating data retrieval. Works with other professionals like data scientists and database administrators to design critical data models that help the organization's decision-making and customer experience processes. Understands how CBUAE uses its core data and maintaining data integrity by eliminating redundancy.

Key responsibilities

Core responsibilities

Support informed and data-driven decision making by defining conceptual, logical and physical data models to support the core data for departments in the Central Bank and its subsidiaries

Develop and implement the core data model in the new Enterprise Data Management platform, improving quality of data, integrity, access, and security

Develop modelling standards

Oversee the development of conceptual models to deliver bank's tech platforms, including data lake and analytics, working with data modelers and business leads

Maintain up-to-date personal knowledge and understanding of banking and financial laws and regulations along with practices of international organizations

Ensure examiners and other BSD staff are trained and skilled at using and understanding the data platforms and processes

Embody the brand and be an ambassador in all internal and external customer transactions, communications and process applications

Self-management responsibilities

Defines performance goals at the start of the year in discussion with the reporting manager and ensures that the goals are achieved during the course of the year

Identifies training and development requirements for self and team with the reporting manager to ensure that the required trainings are arranged and attended

Strives to achieve the highest levels of proficiency on all the competencies and skills required to perform the role

Keeps abreast of professional developments, new techniques and current issues through continued education and professional growth

Threshold qualifications

Bachelor's degree

Years and nature of experience

Minimum 10+ years in data architecture, data modelling, including minimum 5 years in financial services

Experience in one or more database technologies, vendors and models, including RDBMS, Snowflake, star schemas or HDFS

Experience understanding business needs, gathering requirements, then modelling that

Knowledge and experience of a variety of financial and banking systems and applications

Ability to influence effectively at all levels

Strong communication skills, both verbal and written

A data certification such as CMDP or CIMP is a plus