Job Description

:

• Develop and implement comprehensive data management strategies aligned with organisational goals.

• Define and maintain data policies, standards, and best practices for effective data governance.

• Establish frameworks for data quality, integrity, and compliance across the enterprise.

• Identify opportunities to improve data utilisation for analytics, AI, and business intelligence.

• Evaluate and select optimal data storage technologies, including relational databases, NoSQL databases, data lakes, and data warehouses.

• Design and implement scalable, secure, and high-performance data storage architectures.

• Ensure efficient data access, retrieval, and integration across platforms and environments.

• Optimise data infrastructure for advanced analytics, reporting, and AI workloads.

• Partner with business stakeholders, data analysts, and IT teams to understand organisational data needs and translate them into actionable solutions.

• Ensure alignment of data initiatives with business strategies and priorities.

• Communicate complex data concepts, architectures, and solutions clearly to non-technical audiences.

• Foster collaboration between data science, engineering, and governance teams to ensure seamless data operations.

Requirements

• Education: NQF Level 6 or higher tertiary qualification in Information and Communication Technology (ICT) or a related field (including Information Systems).

• Cloud certification (e.g., Azure, AWS, or Google Cloud).

• Minimum of 6 years' experience in a Data Scientist role with strong focus on data strategy, architecture, and management.

• Expertise in data strategy, governance, and master data management.

• Strong understanding of database technologies (SQL, NoSQL, cloud-based data platforms).

• Experience designing and managing large-scale data storage and integration architectures.

• Proficiency in data modelling, ETL processes, and cloud data services (Azure Synapse, AWS Redshift, Google BigQuery, etc.).

Skills Required