Business Data Steward At Gems

Government Employees Medical Scheme; Pretoria; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A prominent government medical scheme in Pretoria is seeking a Business Data Steward to enhance data governance and management. The role involves collaborating with data owners, driving data quality initiatives, and ensuring compliance with regulations. Ideal candidates will have a relevant degree, strong analytical skills, and experience in financial services or medical schemes. Excellent communication and interpersonal skills are essential for success in this position.

Qualifications

• 5+ years' experience in business analysis, data management or analytics in the financial services industry.
• 3+ years' relevant experience as a Data Management Analyst, Governance Analyst, Data Steward or similar role.
• 2 years' experience in the Medical Scheme industry is a plus.

Responsibilities

• Partner with business data owners to drive adoption of data governance best practices.
• Develop understanding of the Scheme's data.
• Implement procedures for effective data management.

Skills

Excellent written and verbal communication

Interpersonal skills

Attention to detail

Negotiation skills

Ability to engage with stakeholders

Education

Degree in Business Analysis, Data Management, Economics, Accounting, Operations, Administration, Information Systems or Engineering

Business Analysis or Data Management certification

Tools

SQL

Power BI

QlikView

Tableau

Job description

IntroductionThe position of Business Data Steward is vacant.

The Business Data Steward will report directly to the Senior Manager : Data Analytics and forms part of the Research and Development Division.

The position is based at Head Office in Pretoria.The total remuneration package will be between R, and R1,, per annum, based on skills and experience.The closing date for applications will be Tuesday, 16 September

Duties & Responsibilities

• Partner with business data owners to drive adoption of data governance best practices and embed a culture of data centricity across day-to-day processes
• Develop an in-depth understanding of the Scheme's data in line with the Data Management and Analytics Strategy
• Identify, document and implement data requirements and specifications; collaborate with ICT on implementation
• Develop and implement procedures for effective data management, including data quality, metadata, reference and master data
• Establish and manage processes for data issues and queries management in line with data quality standards and guidelines
• Ensure data security and compliance with applicable policies, POPIA and regulations; manage data requests in line with data sharing SOPs
• Conduct regular data profiling, audits and lineage assessments to identify quality gaps; monitor Data Quality KPIs (completeness, uniqueness, timeliness, validity) and drive remediation with owners
• Develop monitoring reports and dashboards to track the implementation and effectiveness of data management recommendations
• Develop and maintain technical guidelines, SOPs and documentation for data governance, analytics and utilisation
• Consult with technical, operational and coding stakeholders to enhance data availability, quality, usage tools and methodologies
• Provide training, support and guidance to business data owners and relevant staff on data governance policies, procedures and best practice
• Develop and maintain collaborative working relationships with multidisciplinary teams including business data owners and ICT; facilitate operational SLAs with internal and external stakeholders
• Participate in data management forums and committees to drive continuous data governance efficacy
• Manage data governance processes for internal and external research projects to ensure compliance with policies and regulations

Minimum Requirements

• Minimum qualification : Degree - Business Analysis, Data Management, Economics, Accounting, Operations, Administration, Information Systems or Engineering
• Preferred Qualification : Business Analysis or Data Management certification, or an Honours degree in the above fields
• At least 5 years' experience in business analysis, data management or analytics in the financial services industry
• Minimum of 3 years' relevant experience as a Data Management Analyst, Governance Analyst, Data Steward or similar role
• At least 2 years' experience in the Medical Scheme industry will be an added advantage
• Experience with SQL, Power BI and QlikView or Tableau will be an added advantage
• Proficiency with data profiling, data lineage and metadata management tools.

Skills

• Have excellent written and verbal communication and interpersonal skills
• Have the ability to work well both independently and as part of a team
• Have a diligent work ethic with attention to detail
• Self‑motivated and pro‑active
• Have strong negotiation skills
• Ability give advice and engage with various stakeholders
• Understanding health policy

Behavioural Competencies

• Integrity and ethics : Safeguards sensitive data and complies with POPIA and governance standards.
• Member / business value : Recommends data solutions that improve quality and decision‑making.
• Collaboration : Works effectively with business data owners, ICT, and R&D teams.
• Clear communication : Explains data governance simply and documents decisions clearly.
• Ownership : Drives initiatives end‑to‑end and escalates risks proactively.
• Results focused : Prioritizes high‑impact fixes and tracks Data Quality KPIs.
• Adaptable and resilient : Manages changing priorities and persists to resolve issues.
• Continuous learning : Applies evolving best practices, tools, and SOPs.
• Evidence‑based decisions : Uses data profiling, lineage, and audits to guide appropriate actions.
• Stakeholder influence : Builds consensus and secures commitment to standards and SLAs.
• Inclusive mindset : Respects diverse needs and supports reasonable accommodation.
• Planning and time management : Manages multiple initiatives and meets deadlines.
• Problem solving : Identifies root causes and implements sustainable fixes.
• Innovation : Improves methods, tooling, and dashboards to enhance adoption.
• Coaching : Trains and supports data owners to embed data‑centric practices.

Persistence in solving complex data problemsDesirableUnderstanding of the medical schemes industryPackage & RemunerationBetween R, and R1,, dependent on skills and experience - Annual Cost to Company