Lead or contribute to solution architecture and technical solutioning for application modernisation, data platform, and AI/GenAI engagements across ASEAN.
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Drive end-to-end business analysis across data management, Microsoft Azure-based data services, analytics, Power BI and Gen AI initiatives, translating business needs into clear and actionable requirements that enable successful delivery.
Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
Feature activation and adoption: Collaborate with Product Management to drive activation of newly launched or prioritized features, following the sprint release cadence. Use channels such as the in-app adoption platform, product update newsletters, webinars, or other creative approaches to communicate changes and drive engagement.
Strong STEM foundation with proficiency in mathematics, computer science, or engineering, and solid understanding of AI concepts (e.g., machine learning basics, data analysis).
Develops compelling customer proposals and critically reviews them, manages the expectations of internal stakeholders and customers, ensuring the meeting of customer’s business and technical requirements are met.
Legacy-to-Cloud Transition: Support the re-architecting and migration of legacy SQL/NoSQL databases and ETL processes to Google Cloud (BigQuery, Cloud SQL).