Om Bank - Data Modeler

Old Mutual South Africa; Johannesburg; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading financial services organization is seeking a Data Modeler with expertise in data modelling, especially in regulated environments. This full-time position requires collaboration with Data Architects and Engineers to develop reliable data models that meet compliance standards. The ideal candidate will have a Bachelor's degree in a related field and 4-7 years of experience in a similar role. Join us in building a data-driven banking environment in Johannesburg.

Qualifications

• Minimum of 4 - 7 years in a similar role.
• Proven expertise in data modelling (Data Vault and Dimensional).
• Experience in regulated environments (e.g., banking).

Responsibilities

• Develop conceptual, logical and physical data models adhering to standards.
• Collaborate with Data Architects and Engineers on model implementation.
• Profile source data and analyze data quality issues.

Skills

Data Modeling Mastery (Conceptual, Logical & Physical)

Commitment to Data Quality

Analytical skills

Communication skills

Collaboration skills

Adaptability to Regulatory Changes

Education

Bachelor's degree in Computer Science, Information Systems or related field

NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Job description

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Job Description

At OM Bank, we strive to attract great people who are passionate about coming together for a higher purpose - building something unique and aspirational, always aiming to be the best they can be.

We are rooted in our purpose of inspiring and enabling our customers to grow and sustain their prosperity.

The Data Modeller transforms the conceptual and logical architectures provided by the Data Architect into implementable logical and physical data models.

Operating within a data-driven, compliance-focused digital banking environment, the Data Modeller ensures all models adhere to data modelling standards, facilitate accurate and timely risk data aggregation, and meet the stringent data quality, lineage, and security requirements set by the governance and regulatory frameworks.

The Data Modeller works closely with Data Architects, Data Engineers, the Data Governance team, and other stakeholders to ensure that the resulting data models are reliable, fit for advanced analytics (including AI / ML), and readily adaptable to evolving business and regulatory demands.

Key Result Areas

Model Creation & Compliance

Develop conceptual, logical and physical data models that adhere to enterprise and data standards, incorporate data lineage, metadata definitions, and data quality controls, and align with governance directives and regulatory requirements.

Ensure models support accurate, complete, and timely aggregation and reporting of risk-related data, reflecting the bank's obligations to produce trusted, compliant, and transparent data outputs.

Collaboration & Documentation

Work closely with Data Architects to understand domain-level architectures, clarifying any ambiguities and ensuring models accurately reflect intended data flows and structures.

Collaborate with Data Engineers to ensure that the models can be effectively implemented, scaled, and maintained, and that any performance, cost, or scalability considerations are addressed in the modelling stage.

Produce thorough model documentation, including entity-relationship diagrams, data dictionaries, and metadata records, enabling easy reference, maintenance, and auditing of data models.

Continuous Improvement & Adaptability

Profile source data and analyse data quality issues, making adjustments to models to meet established standards for accuracy, consistency, and compliance.

Take part in proofs of concept (POCs), pilot projects, and sandbox environments to test model designs, ensuring they remain robust, future-ready, and responsive to regulatory changes and emerging technologies in the data and analytics landscape.

Role Requirements

Bachelor's degree in Computer Science, Information Systems, or a related field (preferred).

Minimum of 4 - 7 years in a similar role.

Proven expertise in data modelling (Data Vault and Dimensional), data integrity principles, metadata management, and an understanding of data lineage.

Experience in regulated environments (e.g., banking) with knowledge of risk reporting requirements, data governance frameworks, and privacy / security regulations.

Strong analytical, communication, and collaboration skills, capable of working in agile, cross-functional teams and adapting to evolving business and regulatory conditions.

Competencies & Skills

Data Modelling Mastery (Conceptual, Logical & Physical)

Commitment to Data Quality, Lineage, & Metadata Standards

Compliance & Risk-Aware Mindset

Agile & Collaborative Work Style

Adaptability to Evolving Regulatory & Technological Landscapes

What Success Looks Like

Detailed, accurate, and well-documented data models that are easily implemented by Data Engineers, enabling accurate, timely risk data aggregation and advanced analytics applications.

Consistent adherence to governance, data quality, and security standards, resulting in trusted data assets that can withstand audits, comply with regulations, and meet business intelligence and machine learning needs.

Ongoing refinement and improvement of data models as requirements, regulatory conditions, and technology capabilities evolve.

Skills

Action Planning, Business Requirements Analysis, Computer Literacy, Database Administration, Database Reporting, Data Compilation, Data Controls, Data Management, Data Modeling, Executing Plans, Gaps Analysis, Information Technology (IT) Support, IT Architecture, IT Implementation, IT Network Security, Market Analysis, Test Case Management, User Requirements Documentation

Competencies

Action Oriented

Business Insight

Cultivates Innovation

Drives Results

Ensures Accountability

Manages Complexity

Optimizes Work Processes

Persuades

Education

NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date

03 November

Closing Time: 23:59

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology