Back to jobsAct as a senior hands-on digital product specialist for assigned digital learning platforms and internal tools, taking ownership from requirement clarification through solution delivery, release and post-launch support.
Work closely with the Head of Digital Product Management, system analyst, product managers, editorial teams, UX/UI designers, vendors and Group Technology to translate educational and business requirements into practical technical solutions.
Analyze platform needs, user journeys, data flows, integration points and operational constraints, then propose feasible solution options with clear implications on cost, timeline, maintainability and user experience.
Configure, enhance and maintain digital product features, user interfaces, service workflows, data handling logic and integration components using appropriate modern web, cloud and automation technologies.
Support API, SSO, entitlement, content delivery, reporting and third-party platform integrations, including LMS and education technology interoperability where required.
Contribute to AI-enabled product initiatives by researching suitable technologies, preparing prototypes or proof-of-concepts, supporting technical evaluation, and helping integrate approved AI services into product workflows.
Prepare technical specifications, implementation notes, test scenarios, release checklists and support documentation to ensure knowledge can be shared and maintained within the team.
Coordinate with internal and external technical teams on cloud services, environment setup, release planning, troubleshooting, security review, performance tuning and production incident follow-up.
Carry out hands-on investigation and problem solving across user interface behaviour, service workflows, data issues, access control, browser/device compatibility and user-reported production issues.
Promote good technical practices in maintainability, accessibility, responsive design, system performance, security awareness, version control, testing discipline and release quality.
Identify opportunities to improve internal workflows through automation, reusable tools, templates, AI-assisted processes and operational streamlining.
