Head, Data at Standard Bank Group

Job Description

To develop and drive a consistent, efficient and effective data vision and strategy for Global Markets (GM) in support of Standard Bank Group (SBG), Corporate Investment Bank (CIB) and GM objectives and aligned to existing CIB data policies to enable data driven business decisions for GM. Coordinate GM Data programmes to deliver value from Enterprise Data through the enablement  of data monetization initiatives to contribute to the revenue of GM.

Qualifications

• Minimum Qualification: Bachelors Degree in Information Technology

Experience Required

• Data Monetization
• Data & Analytics
• 8-10 years
• Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualisation tools, such as Power BI, Tableau, etc.
• 8-10 years
• Proven development experience in software / software engineering. Up to date with developments in IA field. Experience in technical business intelligence; in depth understanding of the banks data processes, systems and products. Knowledge of IT infrastructure and data principles forming the basis for data quality management. Project management experience. Exposure to data governance and regulatory matters. Experience in building models (credit scoring, propensity models, churn, etc.

Additional Information

None Negotiable: Data Analytics experience in Banking 

• Drive the standardisation of data management practices within GM in line with organisational frameworks in order to encourage and enable a uniform and consistent view of data across the organisation.
• Manage and refine the Data Operating model in GM including the data provisioning layer (DPL) and curated data in support of the single view data domains and ensure the simplification of IT data and information architecture within GM.
• Represent GM at CIB and Group Data Committees, forums and priority planning events to ensure alignment to Group Data Strategy, Socialise the GM data requirement nuances and influence priority and consideration of these nuances in policy, data platform capability and practice design solutions.
• Coordinate data governance and other data activities across GM and embedded functions through the convening of a GM data board which will oversee the implementation of data practices and policies across GM.