Objective:
- To lead the company’s Data Architecture practise/domain and drive the realisation of the data strategy. Thought leadership role required to provide extensive core technical skills and knowledge of data architecture within technology and the company in general. The role requires one to be able to contribute at a senior level, to design, develop, troubleshoot, and debug complex data issues, at the enterprise level. As an architect the role collaborate with data science, product, engineering and operations teams. Implementation and embedment of Data Quality requirements as stated in policies and guidelines.
Minimum Requirements:
- Bachelor’s degree in Information System
- 10 years’ experience designing and deploying business and Information Technology projects.
- 8-10 working financial services institution.
- Detailed knowledge of user administration, authentication methods, file permissions, groups, and domain concepts.
- Ability to apply architectural principles to business solutions.
- Exceptional communication skills with the ability to engage different levels of the organisation.
- Experience in modelling data using variety of tools and techniques.
- Extensive experience in planning and deploying both business and IT strategic initiatives
Key per formance Areas are;
1 – Data Architecture
Define the Current state of the Data Universe
Define the Target state (Conceptual & Logical) of the Data universe
Define a roadmap including transition architecture to achieve target state
Perform RFI & RFP when required
Manage technical debt for the data and analytical environment
Document architectural decisions
2 – Enterprise Logical Data Model Management
Define the Current state of Enterprise Logical Data Model Management
Define the Target state (Conceptual & Logical) for Enterprise Data Management
Define a roadmap including transition architecture to achieve target state
Identify rationalisation opportunities
3 – Master & Reference Data Management
Define the current state of the Master & Reference data architecture
Define the Target state for Master & Reference data, including the replication patterns
Define a roadmap including transition architecture to achieve the integration target state
Perform RFI & RFP when required
Manage technical debt
Document architectural decisions
Enforce applicable DQ standards on created BAU data (e.g. data tables / sets / models)
Monitoring of applied DQ standards on created BAU data (e.g. data tables / sets / models).
4 – Data reconciliation
Collaborates with business and technical partners to identify data discrepancies and provide the required technical leadership to remedy such.
5 – Analytical Architecture
Document the current state of the Analytical environment
Document all Analytical tools, even when managed by business
Ensure Application catalogue is up to date with all analytical solutions
Identify rationalisation opportunities
Desired Skills:
- Project Management
- communication skills.
- modelling data
- IT Strategy
- data architecture
- leadership
- IT Technology
- data quality
- IT architecture
Desired Work Experience:
- More than 10 years
About The Employer:
A dynamic player in the financial services industry who’s growing & growing.