Data Lineage Management: contribute to documenting and maintaining data lineage information to improve transparency and traceability of critical data elements
Identify recurring manual processes within the Department for enhancements. Propose Excel- or VBA-based automation ideas to improve efficiency (no system configuration or policy work)
Model Lifecycle and Drift Control: Build and operate the deployment path, including real-time and batch inference, result storage, performance monitoring, drift detection, retraining triggers, feature change management, and rollback, ensuring training and production feature pipelines are provably identical.
Design, develop, review, and maintain curriculum, course materials, and assessments, and recommend enhancements to improve student learning outcomes, performance, and employability.
Support in initiatives (e.g. Agentic AI) aimed at automation, improving processes, and/or streamlining administrative/ clerical/manual works within the department, enhancing efficiency and productivity.
Market & Industry Research: analyse data from external sources, industry reports, and market publications to generate insights from both structured and unstructured data
Champion a Data-First Culture through Upskilling: You will organize regular workshops to elevate the data literacy of our brand marketing teams. This involves coordinating the agenda, briefing internal and external speakers, and presenting your own analyses on O+O campaign effectiveness, competitor best practices, and emerging trends.
Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into delivery
Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into delivery
Consolidate, clean, structure and merge data from surveys, feedback forms, programme trackers, partner submissions, grant records and administrative datasets.
Developing accelerators, reference architectures, and enablement content in the data and analytics domain that help field sales teams, partners, and customers adopt AWS data services faster and with confidence.
Business-Centric Strategic Analysis: Think and act like a business owner — leverage data analytics to identify opportunities that streamline compliance operations, reduce friction, and drive measurable efficiency gains. Translate complex regulatory and operational data into actionable insights that directly support the company's broader growth strategy.
Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation