Platform Owner

Platform Owner (145793)

Closing date: 26 June 2026

Information Technology

IT Operations

Manage Self: Technical

The Platform Owner is accountable for the endtoend ownership strategic direction and sustainability of a core technology platform including platforms that include AI data and intelligent automation capabilities. This includes ensuring the platform delivers measurable business value remains architecturally sound compliant scalable secure and costeffective while enabling multiple products teams and use cases across the organisation.

The role acts as the single point of accountability for platform outcomes balancing business demand technological evolution (including AI and automation adoption) operational resilience risk and vendor management. The Platform Owner works closely with Product Owners Architects Engineering Data AI Operations Risk Finance and external partners to ensure the platform supports current and future digital automation and AIdriven business strategies.

Platform Strategy & Ownership

• Define and maintain the platform vision roadmap and target state aligned to enterprise strategy domain architecture and business outcomesexplicitly incorporating AI analytics and automation capabilities where relevant.
• Own the endtoend platform lifecycle including onboarding change modernisation AI enablement automation expansion and eventual decommissioning.
• Ensure the platform supports reuse standardisation scalability and automationfirst principles across consuming products channels and AI use cases.
• Drive adoption of intelligent automation selfservice capabilities and AIenabled features to improve efficiency quality and speed to market

Governance & Accountability

• Establish and enforce platform standards guardrails and nonfunctional requirements (performance reliability security resilience explainability and ethical AI where applicable).
• Ensure alignment with enterprise architecture data governance AI governance security risk compliance and regulatory requirements particularly in regulated environments.

Delivery & Execution

• Work with Product Owners Engineering Leads and Data / AI teams to translate business demand into platform automation and RPA and AI capabilities.
• Prioritise platform backlog items including technical debt automation opportunities model lifecycle improvements resilience enhancements and strategic innovation.
• Oversee platform delivery across multiple teams or delivery streams ensuring predictable highquality outcomes and safe adoption of AI and automation.

Operational Excellence

• Accountable for platform stability availability performance and operational readiness including AI and automation workloads in production.
• Partner with Operations and SRE teams to ensure effective incident management problem management model monitoring and rootcause remediation.
• Drive continuous improvement through automation observability telemetry AIOps and operational maturity.

Vendor & Commercial Management

• Own relationships with platform vendors and strategic partners including AI service providers automation tool vendors and system integrators.
• Manage contracts SLAs roadmap alignment performance management and compliance obligations.

Stakeholder Management & Leadership

• Act as a trusted technology leader and advisor to senior business and technology stakeholders.
• Communicate platform strategy AI and automation opportunities risks and tradeoffs clearly to executive and governance forums.
• Mentor and guide teams to build deep platform automation and AI capability ensuring succession and longterm sustainability.

IT Related Degree or Diploma

Platform Specific Certifications

• Bachelors degree in Computer Science Information Systems Engineering or related field.
• 812 years experience in technology delivery platform ownership or largescale 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 nonfunctional requirements.
• Strong hands-on experience with card switching solutions such as Postilion and Base24EPS.
• Experience working with thirdparty 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 eventdriven architectures automation tooling AI/ML platforms and modern integration patterns.
• Familiarity with AI governance model lifecycle management and responsible AI practices