| Description |
Requirements:
- Relevant degree in Data, Engineering, Computer Science, Business or a similar field.
- 10–15+ years’ experience in data-related roles.
- 5+ years’ experience in Data Management Leadership roles.
- Strong experience across data platforms, data engineering and/or data architecture.
- Proven experience in data governance, data quality and regulatory compliance.
- Experience developing data products within commercial environments.
- Strong stakeholder collaboration, engagement and advisory skills.
- Experience implementing data strategies and operating models aligned to business needs.
- Strong understanding of end-to-end data lifecycle management, including retention, archiving and deletion.
- Strong understanding of modern data architectures and integration patterns, including ETL/ELT and APIs.
- Experience across on-premises and cloud environments.
- Proficiency in SQL-based environments.
- Experience with data pipeline development, automation and performance optimisation.
- Understanding of POPIA and other applicable regulatory requirements.
- Ability to translate data into commercially valuable products and client-facing solutions.
- Experience working across technical, business and regulatory stakeholders.
- Automotive, mobility, financial services or consumer data experience advantageous.
- Knowledge of AI/ML concepts and advanced analytics advantageous.
- Strong problem-solving and analytical skills with excellent attention to detail.
- Excellent communication and teamwork skills, including the ability to communicate effectively with non-technical stakeholders.
- Strong relationship-building and networking capabilities.
- Ability to manage multiple priorities and conflicting demands effectively.
- Strong client service and expectation management skills.
- Passion for continuous learning and expanding technical knowledge.
- Ability to embrace and initiate change within an agile and fast-paced environment.
- Strong ownership, initiative and outcome-driven approach.
- Sound judgement, resourcefulness, adaptability and resilience.
Responsibilities:
- Lead the design, development and optimisation of data pipelines, models and platforms.
- Translate business requirements into scalable, efficient and maintainable data solutions.
- Provide technical leadership and guidance to data engineers and analysts.
- Ensure data solutions are well structured and aligned with technical best practices.
- Design and implement data architectures, including data marts, integration layers and APIs.
- Ensure efficient data ingestion, transformation and integration across systems.
- Contribute to platform evolution through performance optimisation and scalability improvements.
- Implement and maintain data quality controls, validation processes and monitoring.
- Ensure the reliability, accuracy and availability of critical datasets.
- Identify and resolve data issues while continuously improving data processes.
- Implement and uphold data governance practices across relevant data domains.
- Support data classification, retention and lifecycle management processes.
- Ensure compliance with applicable regulations, including POPIA and PAIA, as well as internal policies.
- Collaborate closely with Product, Business and Engineering teams.
- Translate complex data and technical concepts into clear and practical insights for stakeholders.
- Support internal and client-facing initiatives requiring data expertise.
- Lead and mentor a team of data engineers and analysts.
- Support team development through coaching, knowledge sharing and technical guidance.
- Foster a culture of ownership, quality and continuous improvement.
- Stay informed about emerging data technologies, architectures and practices.
- Identify opportunities to improve data capabilities, tools and processes.
- Enhance the efficiency, scalability and usability of data solutions.
- Contribute to the development of innovative and commercially valuable data products.
- Support the practical application of AI/ML and advanced analytics where relevant to business challenges.
Please note that if you do not receive a response within 2 weeks, your application has been unsuccessful.
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