Data Modeler (10-20 yrs)

Overview :

We are seeking a highly skilled Logical Data Modeler at the senior manager level with domain expertise in financial markets and financial crime. The ideal candidate will have a strong background in data modeling, excellent analytical skills, and experience working within the financial sector. Understanding of group Data Management Standards and all other policies/standards related to data, CIB Data's vision and strategy and how it supports it's strategic goals, CI B Business Plan and its strategic goals and enablers

Roles and Responsibilities :

- Develop logical data models to support business requirements in financial markets and financial crime.

- Collaborate with stakeholders to gather and analyze requirements for data modeling projects.

- Ensure data models align with industry standards and best practices.

- Conduct regular reviews of existing data models to ensure they meet current business needs.

- Provide guidance on data management strategies, including metadata management, master data management, and reference data management.

- Developing an understanding of CIB Coverage data architecture, data lineage and current state data architecture Gaps.

- Establishing a singular view of Coverage data by enhancing/ developing conceptual data model and data domains model.

- Implementing the DQ change control framework to ensure critical data changes are aligned to the data models and data standards defined and implemented.

- Support key Transformations in the Coverage business by providing Data Modelling expertise, Data by design recommendations and if required be able to deliver end to end data design activities.

- Establish the framework to utilize the domains model for setting design for new standards adoption such as Data Security, Data Privacy, Records Keeping, Data Sovereignty, and others by discovering and mapping the associated Classifications of data.

- Provide clear data definitions and data standards for all business terms to measure the Data Quality of captured and distributed data, to optimize the Data Design and resolve identified data definitions and standards deficiencies.

- Implementing Reference Data Architecture Principles and Target design for reference data and guide and support group projects and changes with right reference data design usage. Proactively monitor the health of current Reference Data and provide the recommendations for the full certification.

- Involve/ Engage Technology Architects and Teams to get support on Physical Data Architecture / Physical Data Models and related queries as required by Data Domain Ownership activities.

- Ensure (and if required implement and operate) appropriate governance forums to govern Data Design and Architecture, including defining their roles and responsibilities, to govern and authorize Data Designs, Models, Standards and Principles.

- Provide Data Architecture Consultation services to Group Projects and Change Initiatives.

- Work closely with IT teams to implement logical data models into physical databases.

- Lead a team of junior modelers, providing mentorship and ensuring high-quality deliverables.

Required Skills :

1. Strong proficiency in logical data modeling techniques

2. Extensive experience with database design tools such as ERwin or IBM InfoSphere Data Architect

3. In-depth knowledge of SQL and relational database concepts

4. Excellent verbal and written communication skills

5. Proven ability to work collaboratively in a team environment

6. Minimum five years of experience in the financial sector

Preferred Skills :

1. Experience with big data technologies like Hadoop or Spark

2. Familiarity with regulatory requirements related to financial crime (such as AML/KYC)

3. Knowledge of cloud-based database solutions such as AWS Redshift or Google BigQuery

4. Strong organizational skills

Qualifications :

1. Bachelor's degree in computer science, information technology, or a related field

2. Five years of relevant experience in logical data modeling within the financial sector

Preferred Qualifications :

1. Master's degree in computer science or information technology

2. Certification in database design or related fields (such as CDMP)

3. Three years of managerial experience leading a team