Senior Data Modeller

Requisition Details and Talent Acquisition Consultant

REQ 123742 - Mandisa Martins

Cluster

Information Technology

Career Stream

Data

Leadership Pipeline

Manage Self: Technical

Job Purpose

To design and maintain optimal data models/structures at both an enterprise and system / application level that meet the business and architectural objectives of the organisation.

Job Responsibilities

Design data models that meet the business requirements and align to the agreed architecture framework.
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.
Contribute to the creation of a comprehensive governed framework by working with the data modelling CoE and contributing towards defining the data modelling standards.
Advise stakeholders on application of data modelling practices through consultation.
Perform peer review on work performed by other team members
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
Support the achievement of the business strategy, objectives and values
Stay abreast of developments in field of expertise
Ensure personal growth and enable effectiveness in performance of roles and responsibilities
Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).
Participate and support corporate responsibility initiatives for the achievement of business strategy
Seek opportunities to improve business processes, models and systems though agile thinking.

Minimum Experience Level

Minimum 10yrs IT related experience with 5yrs+ in a Data Modelling role
Provide technical leadership related to data modeling, data management, integration and warehousing, storage and business intelligence.
Create and maintain data architecture, data management conventions and standards, naming and metadata standards.
Able to demonstrate practical experience in relational and dimensional modelling techniques, OO modelling experience also an advantage.
Experience using Infosphere Data Architect or any other Data Modelling Tool
Experience with industry models such as IFW BFMDW
Broad 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

Essential Qualifications - NQF Level