Manager, Data Science & Insights

Candidate Description

Marked by a strong blend of technical depth and leadership, this data & AI delivery professional brings over nine years of experience spanning government, financial services and technology sectors. They have repeatedly built data capabilities from the ground up—designing lakehouse architectures, instituting enterprise data governance and deploying AI-enabled solutions—while coding hands-on in Python, SQL and PySpark. Their domain reach includes privacy-by-design compliance, cloud migration and GenAI experimentation, all underpinned by PMP and DAMA CDMP credentials.

Their technical acumen is evidenced through production-grade pipelines in Azure Data Factory, Microsoft Fabric and AWS, deployment of Azure OpenAI conversational agents, and development of NLP models using LSTM and Transformer architectures. Adept at analytics tooling such as Power BI and Tableau, they also drive CI/CD excellence with Jenkins, GitLab CI and Azure DevOps. Key achievements include architecting a secure inter-agency data-sharing platform for a Government Agency, steering cloud-migration roadmaps in concert with a Consulting Firm, and restoring critical reporting reliability by re-engineering dataset scopes.

Combining strategic foresight with mentoring capability, this individual has led cross-functional teams, chaired governance committees and negotiated with regulators including a Regulatory Authority and a Building Authority. They adapt quickly to new challenges—whether uplifting data-quality standards, embedding Responsible AI practices or translating complex requirements for non-technical stakeholders—consistently delivering scalable, compliant and value-driven outcomes for their organisations.