Data Steward at Discovery Limited

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
• Understand data access requirements and assist production support, data operations, application owners and business where needed
• 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
• Act as a subject matter expert for any projects/new processes that rely upon or affect data quality
• 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 front-end tools ( i.e. Power BI, Excel)
• Strong SQL query writing ability (across database environments)
• Database fundamentals knowledge
• Good analytical and problem-solving 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 governance policies

Assist in collation of

• Data flows
• Metadata
• Master data
• Business glossary
• Technical and business lineage
• Data mapping/modelling
• Reference and static data
• Socialise and provide training about data governance artefacts to stakeholders where required
• Assist with compilation of specification documents for data requirements
• Analysis and Attention to detail
• Problem solving
• Resilience and stress management
• Drive for results
• Rule orientation
• Excellence orientation
• Building relationships
• Teamwork

Education and Experience

• A bachelor's degree in computer science, information technology, statistics, or a related field
• Business Intelligence certifications will be an added advantage.
• 3 - 5 Years relevant Data Operations Experience