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Data Steward

3 months ago


Sandton, South Africa Discovery Ltd. Full time

Business Unit:
Vitality RSA
Function:Data Analysis
Date:04-Apr-2023Discovery - Vitality Data Solutions

Data Steward

About Discovery
Discovery's core purpose is to make people healthier and to enhance and protect their lives.

We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery.

Our fast-paced and dynamic environment enables smart, self-driven people to be their best.

As global thought leaders, Discovery is passionate about innovating to not only achieve financial success, but to ignite positive and meaningful change within our society.


Key Purpose


To oversee the safe transport, timely delivery, storage of data and the management of data operations for the relevant business unit.

Assist in building data operations framework to enable the responsibilities listed below and the creation of a Vitality data policy.


Areas of responsibility may include but not limited to

  • Interact with our business leads and other stakeholders to establish information needs
  • Conduct data analysis and data profiling on various source systems
  • Defining various data rules for the business and ensures high level of data quality, integrity, availability, completeness, consistency, privacy and compliance to those rules by the data owners
  • Ensure data flow through all processes and platforms is running correctly, both in terms of data collection, integration, processing and quality
  • Maintain timetable of all critical processes and all data movements
  • Monitor these data movements through recons and/or exception reports
  • Escalate all abnormal movements to business for resolution
  • Monitor and trend failed data transfer processes with production support
  • Resolve data quality issues in partnership with business operations teams and other Data Stewards or Data Operations Teams.
  • Run exception reports and recons as per business timetable and distribute to business
  • Engage with business daily to drive the resolution of any issues from these reports
  • Assist with proactive data analysis regarding these exceptions
  • Monitor and manage data quality across business systems
  • Collate, analyse and theme data quality issues
  • Create or log new exception reports and recons to prevent these issues from reoccurring and add them to the operations schedule
  • Create and update regular data quality report/dashboard for management showing new issues raised, issues resolved, aging of issues and themes causing recurring data quality issues.
  • Perform corrective and evolutive maintenance of all data processes causing data quality issues
  • Using themed data, conduct root cause analysis of data quality issues
  • Participate in engagement with business to understand current processes and its limitations
  • Advise on corrective actions to people, processes, systems and data operations to correct these limitations
  • Participate in remediation projects
  • Monitor data quality after correction to ensure that the process is now optimal
  • Ensure the quality of service; responsible for data consumer support
  • Assist in data analysis of Vitality data when and where needed
  • Ensure that reports and processes are of high quality and are run by production support.
  • Document data operations and monitoring solutions in clear, concise guides
  • Develop KPI framework
  • Coaching on an ongoing basis to improve adoption of data standards
  • Define data standards
  • Support implementation of the data standards
  • Track key metrics related to compliance to central data standards and policies
  • Support development of KPI framework
  • Demonstrate active ownership of master data domains, processes, and procedures
  • Maintain expertise on overall use of data, including the global data dictionary
  • Facilitate governance over subsets of data to ensure quality across business processes through collaboration with other Data Stewards and Data Ops Specialists
  • Creating/editing requirements, data dictionaries, process maps and data lineage/mapping
  • Developing an understanding of the metadata captured to manage data and participate in the creation of metatdata
  • Establish a standardized approach to capture and document metadata issues across all assigned data domains
  • Define and roll out group data standards
  • Monitor compliance to data standards

Personal Attributes and Skills

  • Excellent oral and written communication skills.
  • Must be able to present solutions and data storylines.
  • Experience in gathering requirements
  • Experience working with BI frontend tools ( i.e. Power BI, Excel)
  • Strong SQL query writing ability (across database environments)
  • Database fundamentals knowledge
  • Good analytical and problemsolving skills.
  • Must be able to navigate ambiguity and complexity around business products and benefits and how they tie into data.
  • Understanding of Master Data management (MDM), Metadata Management and Data Governance (DG)
  • Implement the data gov