Executive Head of Data

Job Description

Data Strategy Leadership and Build a Centralized Data CoE

Crafting a fit-for-purpose roadmap aligned  Group priorities.

Defining modern architectures, governance frameworks, and compliance standards (POPIA, PCI-DSS).

Uniting Data Engineering, Analytics, AI/ML, Governance, and MLOps under one roof.

Delivering a single source of truth for operational, customer, and transactional data.

Collaborate with the Group Data Office

Aligning  the division initiatives to the organizations data Strategy, standards, and governance frameworks.

Participating in Group Data Office forums, councils, and architecture sessions.

Ensuring shared definitions, metadata, lineage, governance processes, and architecture patterns.

Supporting enterprise-wide data initiatives and integrating data into group platforms.

Enable Analytics-as-a-Service and Monetize Data

Developing commercial data products: benchmarking, market intelligence, fraud scoring, and more.

Partnering with Product & Commercial teams to launch scalable, secure offerings.

Creating predictive models, dashboards, and insights layers for internal teams and external partners.

Lead AI & Machine Learning Innovation

Deploying models for forecasting, churn prediction, fraud detection, and recommendation engines.

Building full MLOps lifecycle capability and stay ahead with generative AI readiness

CRM Intelligence Integration

Embedding predictive scoring and insights into Salesforce for smarter management.

Driving sales conversion, retention, and customer experience through data-driven CRM.

Qualification & Skills

Bachelors Degree in data science, Engineering, Computer Science, Statistics, or similar (master’s preferred).

10+ years' experience in senior data leadership roles.

Expertise in data strategy, architecture, AI/ML, cloud platforms (Snowflake, AWS, Azure).

Experience in Fintech and Banking services strongly preferred.

Proven ability to build data platforms, CoEs, and advanced analytics programs.

Experience with Salesforce and CRM intelligence integration.

Technical Expertise

Data strategy, architecture & governance

Cloud data engineering (Snowflake, AWS, Azure, GCP)

BI & analytics, AI/ML, CRM analytics & Salesforce integration

Data monetization and regulatory compliance (POPIA, PCI-DSS)

Suitable candidates will be contacted. If you do not get a response within 14 days, please consider your application unsuccessful.