Strong knowledge of middleware, cloud integration, data integration and API-led integration concepts.

Hands-on experience designing and implementing integrations across SaaS, cloud and on-premise systems.

Strong understanding of enterprise integration patterns, including real-time, batch, file-based, API-led, event-driven and bulk data integration.

Experience with business and technical requirements analysis, process mapping, data mapping and interface design.

Ability to design secure and supportable integration solutions, including error handling, monitoring, logging, alerting and operational support considerations.

Experience integrating with enterprise platforms such as ERP, CRM, HRIS, finance, workforce, research, data, student or operational systems.

Confidence working with structured and unstructured data sources, and an understanding of how data quality, access, privacy and security impact integration design.

Strong stakeholder engagement skills, with the ability to work across business, architecture, cyber security, data, vendor and delivery teams.

Ability to operate in environments where requirements are still forming and where structured discovery, analysis and solution shaping are required.

An interest in developing an understanding of responsible AI considerations, including privacy, security, auditability, human oversight and appropriate use of enterprise data.

Exposure to GenAI, AI-assisted workflows, intelligent automation, analytics, data platforms or other emerging technology projects would be beneficial, but is not essential.

A willingness to work with internal specialists and clients to develop emerging technology ideas into practical integration requirements and solution options.

Experience supporting proof-of-concept, pilot or innovation initiatives would be highly regarded.