Senior Data Modeller at Nedbank

To design and maintain data models/structures at both enterprise and system / application level. To persist data in an efficient and structured way to enable the value of the date to beunlocked . To create appropriate data and classstructures that enable the flow of data between providers and consumers.
Job Responsibilities

•   Ensure data modelling deliverables are delivered according to project plan and budget to meet commitment to stakeholders.
•  Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards
•  Apply the Nedbank approved tooling to create the data modelling deliverables.
•  Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage best practice and fast track data modelling efforts.
•  Translate business requirements into data requirements.
•  Analyse and profile the source data to understand data quality issues , relationships, patterns and rules in the data.
•  Structure data requirements into logical data constructs based on the Enterprise Data Model, including ERD models, dimensional models to ensure optimal implementation.
•  Compile Source to Target Mapping Specifications including the appropriate Transformation Rules
•  Identifying definitive or authoritative source of data ; analysing source data; and identifying gaps to target structures
•  Enable physical implementation of the data structure by generating the first cut physical data model from the logical data model.
•  Facilitate dataflow understanding by collating dataflow diagrams outlining the flow of data across systems and interfaces.
•  Reduce non value adding work by identifying opportunity for re-use of the Enterprise Data Model
•  Maintain up to date knowledge of latest developments in the Data Modelling domain, including reading; continuous professional development courses; seminars and conferences.
•  Assists to provide a comprehensive governed framework by working with the data modelling CoE and contributing towards defining the data modelling standards.
•  Advise stakeholders and other staff on application of data modelling practices through consultation.
•  Ensure consistency and re-use of data models by acting as a primary advocate of date modelling activities and methodologies and by driving the adoption of enterprise date modelling across the bank.
•  Ensure improved performance by providing feedback on improvements to the data modelling framework.
•  Perform review on work performed by team members as well as review and govern work performed by other modelling teams
•  Identify opportunities to improve or enhance processes.
•  Provide Overall Data Management Guidance and alignment to Nedbank's Data Management framework and standards
•  Seek opportunities to improve business processes, models and systems though agile thinking.
•  Support the achievement of the business strategy, objectives and values
•  Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).
•  Participate and support corporate responsibility initiatives for the achievement of business strategy

Additional Responsibilities

• Ensure consistent, quality delivery of data models and data modelling artefacts by the team and/or self
• Lead the team of data modellers within the data warehouse squad in the delivery of sprint goals
• Ensure resources are skilled an able to perform work and grow and develop their skills through coaching
• Ensure resource allocations are managed
• Monitor and Report on progress and alignment to priorities

Essential Qualification

• Bachelor of Science: Information Systems / Computer Science
• BCom Informatics
• BSc. Engineering

Essential Certifications

• The Data Management Association International (DAMA), TOGAF

Type of Exposure

• Achieved transformation and innovation results
• Designed Workforce Planning Solutions
• Developed and Implemented Communications Strategy
• Manage internal process
• Managed Self

Critical Required Skillls

• Data analysis and inference
• Data Integrity
• Data Warehouse Layers
• Metadata
• Data Quality
• Data Warehousing Overview and Architecture
• Database Model Concepts
• Data and business requirements gathering
• Data Modelling Tools
• Industry Model Understanding
• Pattern Recognition, conceptual and abstract thinking

Minimum Experience Level

• 5 - 8 Years as a Data Modeller
• Able to demonstrate practical experience in relational and dimensional modelling techniques as well as leading teams of data modellers
• Has demonstratable experience in developing custom data models as well as data modelling utilising Industry data models such as IFW BFMDW
• Experience in model management
• Experience in compiling and monitoring standards and developing/maturing a data modelling practice
• OO modelling experience also an advantage
• Exprience using Infosphere Data Architect or any other Data Modelling Tool
• Firm understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture
• Relevant regulatory knowledge, and understanding of banking and financial services
• Experience in NOSql and other forms of database modelling advantageous