Data Governance Officer
Description
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With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
Job Summary
This Data Governance & Knowledge Management role. The role aims to establish data governance policies, standards, processes and guidelines. Responsible for Governance and enforcement of data governance policies, standards, processes and guidelines. Monitors performance of data governance processes communication, training, awareness and change management. Monitor Risk issues raised and facilitates resolution of issues ad escalate data issues where required.
Data Capabilities: Build analytical tools to generate insights, recognise patterns and predict behaviour | Business Partnership: Present insights/tactical plans to business areas to enable enhancements, new initiatives etc within the specific business being supported, to ultimately enable a better customer experience |
Data Governance and Control: Ensure accuracy of Data collected and ensure Data governance required are met and adhered to
Develop and implement data governance policies, processes and standards covering all aspects and disciplines of data governance. • Develop a data governance (policy, standards and process) implementation and monitoring strategy and plan. • Actively monitor the implementation and adherence of the data governance/management • policies, standards and processes. • Review, update, enhance (where appropriate) and publish data governance policies, standards and processes. • Define and implement a One Africa data ownership model. • Assist in defining a practical and comprehensive data governance framework/methodology. • Contribute to the development of Barclays Group data governance requirements.
Job Description
Key accountabilities
Accountability: Data Quality Leadership and Guidance (20%)
- Embed the data quality governance strategy, vision and operating model across the group through the relevant stakeholders.
- Assist in defining a practical and comprehensive data quality strategy.
- Be an active and influential member of data quality forums.
- Promote an organisational data quality culture.
- Provide leadership, advice and guidance to the data quality specialists.
- Support any related Group Level data quality projects.
- Obtain a thorough understanding of business data quality challenges and assist to define control measures.
- Develop and maintain good relationships with data quality stakeholders (e.g. BU representatives, data stewards, data owners, business key risk owners etc) through ongoing interaction.
- Develop a good understanding of business strategies and initiatives which impact on data quality through discussion and interaction with the relevant stakeholders.
- Be the thought leader and support the People Function and its business units on all aspects of data quality management by being knowledgeable on data quality and providing guidance to the business facing teams on implementation of data quality requirements.
- Drive the implementation of the necessary toolsets to enable implementation of the data quality requirements.
- Support the Conformance and Validation team as data quality subject matter expert. \
- Act in a consultative capacity to provide input to front office teams in terms of remediation plans for RCAs, Key Indicators, Risk Events, Audit Findings and CSAs as and when required.
- Understand current issues experienced in business by reviewing incidents and audit findings related to data quality.
- Develop and maintain good relationships with business and technology stakeholders through ongoing interaction.
- Develop and implement data quality policies and processes and standards covering all aspects of data quality.
- Develop a data quality (policy, standards and process) implementation and monitoring strategy and plan.
- Actively monitor the implementation and adherence of the data quality policies, standards and processes.
- Review, update, enhance (where appropriate) and publish data quality policies, standards and processes.
- Define and implement a People Function data ownership model with particular focus on critical datasets.
- Contribute to the development of Absa DQ policies, standards and processes when required.
- Contribute to the development of Absa control requirements, by providing a view on potential improvements for services and enhanced risk mitigation.
- Embed the data quality operating model across the group.
- Define and implement detailed frameworks to support the implementation of data quality.
- Implement the data quality work programme of priorities.
- Manage the necessary implementation resources, and monitor the implementation of the work programme.
- Performance manage progress towards achievement of the objectives outlined in the data quality work programme.
- Define data quality requirements and controls to be implemented and considered in the unified change framework (SDLC/projects)
- Consider the impact of legislation and regulation relating on data quality.
- Monitor and ensure that the necessary data and information functions, in relation to the carrying out of statutory requirements are undertaken.
- Ensure and promote the effective and appropriate/legal use of data and information
- Be an active member of data quality forums.
- Define and implement an incident reporting and tracking system for data quality issues.
- Receive and consider significant/serious untoward incidents relating to data quality and drive their remediation with the relevant stakeholders.
- Implement processes to ensure that the Governance Lead plus Data Custodians and Stewards are informed of all serious and untoward data quality related incidents.
- Effectively identify and manage data quality risks and actions required by reporting data quality control deficiencies to management. This should include reporting on control issues, SOX control requirements, Internal and External audit observations.
- Escalate unresolved and overdue issues to the relevant stakeholders and governance committees.
- Define and receive reports from stakeholders and forums to enable the monitoring of data quality progress.
- Monitor and assess the effectiveness of data quality policies standards and processes
- Manage and track the relevant stakeholders in the delivery of the agreed action plans and escalate non performance and non delivery to the appropriate forums/structures.
- Assess and receive assurances from stakeholders that they are fully compliant with all the requirements of data quality.
- Identify risks associated with data quality and address and or report them to the appropriate risk committees or data quality forums.
- Ensure that the systems used by People Function support the data quality requirements
- Act in a consultative capacity to provide input to front office teams in terms of remediation plans for RCAs, Key Indicators, Risk Events, Audit Findings and CSAs as and when required
- Liaise and work closely with internal committees, forums, programmes and groups to promote data quality.
- Collaborate and align with other governance committees on data quality issues.
- Liaise with other committees and programmes in the People Function to ensure that data quality is integrated into other initiatives.
- Ensure that the People Function’s approach to data quality and management is communicated to all staff.
- Develop and implement a communications programme to raise awareness within the People Function about all aspects of data quality.
- Implement data quality management related training and ensure that it is taken up by staff as necessary to support their roles.
- Cater for specific in-Cluster training needs by defining generic material for awareness and training as well as specific training material for data quality.
- Create and maintain a central communication portal for data quality and ensure knowledge content is fully up to date.
- Drive the implementation of the necessary toolsets to enable implementation of the data quality requirements.
- Ensure alignment and facilitate collaboration between the People Function and business on data quality issues.
- Ensure that People Function initiatives/projects align with the long term vision and key business and regulatory objectives of data quality.
- Ensure that data quality standards and principles are followed in the People Function initiatives affecting Absa.
- Ensure that all data quality functions performed by the People Function and self service are executed in accordance with the data quality policies, standards and processes.
- Promote the use of data quality technologies by educating stakeholders on the tools and benefits thereof.
- Effectively manage data quality risks and actions required and report data quality control deficiencies to the data governance council. This should include reporting on control issues, SOX control requirements, internal and external audit observations.
- Ensure the timely completion of operational reporting by submitting in accordance with Absa Group requirements.
- Escalate unresolved issues to the relevant data governance stakeholders and governance committees by planning, monitoring and reporting back on progress of the data quality initiatives.