Platform Owner
On-site · Johannesburg, Gauteng, South Africa
Job Summary
Platform Owner responsible for end-to-end ownership, strategy, and sustainability of a core technology platform, including AI, data, and automation capabilities. Accountable for delivering measurable business value, architectural soundness, security, scalability, and cost-effectiveness while enabling multiple products and teams. Leads platform vision, roadmap, lifecycle, governance, and risk management, partnering with Product Owners, Architects, Engineering, Data/AI, Risk, Finance, and external partners. Drives intelligent automation adoption, platform standards, vendor management, and compliance in regulated environments. Oversees multi-team delivery, operational excellence, incident/problem management, and continuous improvement through automation and AIOps. Requires strong enterprise-platform experience, hands-on card-switching knowledge (Postilion, Base24-EPS), cloud and API familiarity, and AI governance expertise.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
- 8–12+ years’ experience in technology delivery, platform ownership, or large-scale systems management
- Proven experience owning or leading enterprise platforms, including platforms supporting automation, data, or AI workloads, in complex environments (e.g. payments, banking, telco, large digital ecosystems)
- Strong understanding of architecture principles, platform design, distributed systems, and non-functional requirements
- Strong hands-on experience with card switching solutions such as Postilion and Base24-EPS
- Experience working with third‐party vendors, cloud services, and commercial contracts
- Extensive experience in card processing, with in-depth knowledge of transaction switching, clearing, and settlement
- Experience in regulated industries (financial services, payments)
- Exposure to cloud platforms, APIs, event-driven architectures, automation tooling, AI/ML platforms, and modern integration patterns
- Familiarity with AI governance, model lifecycle management, and responsible AI practices
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