About the position
To profile data assets, based on defined data quality dimensions relevant to the business process or problem such as accuracy, completeness, consistency, reliability and timeliness.
To assess the level to which data is fit for purpose for its intended use and remediate any data quality shortcomings as per data quality thresholds.
To assess the business impact of the identified data quality issues to determine the significance of the problems to business operations.
To conduct root-cause analysis to identified data quality issues in order to address the challenges at source.
To conduct an assessment on data quality maturity levels within the client against best practices.
To monitor, measure and compare the Data Quality assessment results against the data requirements.
To define and implement data quality measurements and metrics for the critical data elements to support reliable decision making.
To monitor, measure and report the data quality levels to create the necessary awareness and understanding of reliability of data.
To enable the improvement of the data quality levels by means of guiding and training data owners, data stewards and data users in all aspects of data quality management (e.g., definition of data quality business rules, data quality service levels, profiling, analysis and assessment of data quality).
To remediate data quality issues to limit the reoccurrence of the data quality issues.
To develop and manage stakeholder relations effectively to promote data quality awareness across the organisation and support reliable decision making.
To develop and maintain reporting dashboards, issue tracking, and monitor the technical status of the data quality.
To develop reports pertaining to data quality management and associated activities.
To drive the automation of data quality management processes and functions.
Minimum Requirements:
Qualifications/Experience:
A minimum of a Bachelor’s degree in Computer Science, Management.
Information Systems, Computer Engineering OR equivalent.
A relevant data management certification (e.g. CDMP Associate).
Minimum of five to eight years’ experience in a data management environment.
Competencies:
Industry, organisational and business awareness knowledge, and skill.
Industry, organisational and business awareness skill.
Continuous improvement knowledge and skill Quality assurance knowledge.
Quality assurance skills.
Continuous improvement knowledge.
Continuous improvement skills.
Continued learning and/or professional development knowledge and skills.
Continued learning and/or professional development knowledge.
Continued learning and/or professional development skills.
Business continuity planning knowledge.
Business continuity planning skills.
Data Quality strategy knowledge.
Data Quality strategy skills.
EIM planning skills.
EIM legislation and governance, risk, and compliance knowledge.
EIM legislation and governance, risk, and compliance skills.
Desired Skills:
- Continuous improvement skills
- Quality assurance skills
- EIM planning skills
