Jackson Sin

Owned the end-to-end product strategy, roadmap and delivery for MAGIC, IMDA's enterprise Generative AI platform on the Whole-of-Government (WOG) cloud, enabling secure, scalable and Responsible AI services for 1,200+ public officers. Defined product requirements, prioritised roadmap and translated AI governance, security and Responsible AI policies into platform capabilities through user research, stakeholder engagement and cross-agency workshops. Led cross-functional delivery across engineering, cybersecurity, legal, procurement, policy and operations to implement AI governance controls, guardrails, access controls, auditability and compliance-by-design.

Gen AI Product Manager - Infocomm Media Development Authority (IMDA) - Singapore

(2023-08 - 2026-06)

• Owned the end-to-end product strategy, roadmap and delivery for MAGIC, IMDA's enterprise Generative AI platform on the Whole-of-Government (WOG) cloud, enabling secure, scalable and Responsible AI services for 1,200+ public officers.
• Defined product requirements, prioritised roadmap and translated AI governance, security and Responsible AI policies into platform capabilities through user research, stakeholder engagement and cross-agency workshops.
• Led cross-functional delivery across engineering, cybersecurity, legal, procurement, policy and operations to implement AI governance controls, guardrails, access controls, auditability and compliance-by-design.
• Designed enterprise AI capabilities using LLMs, RAG, AI Agents, semantic search, vector retrieval and Microsoft Graph integration, improving knowledge discovery while enforcing secure information access.
• Established LLM evaluation frameworks including prompt testing, response quality evaluation, telemetry dashboards, user feedback analytics and experimentation to continuously improve model quality, reliability and operational cost.
• Implemented Responsible AI controls including content moderation, prompt security, access governance, audit logging, model evaluation and AI risk mitigation aligned with public sector governance requirements.
• Defined product KPIs using product analytics, experimentation, adoption metrics, reliability, latency and operational performance to support evidence-based product decisions.
• Managed executive stakeholders, vendors and cross-agency partnerships while driving Responsible AI adoption, AI governance best practices and product enablement across IMDA.

Data Platform Engineer - Accenture - Singapore

(2022-09 - 2023-08)

• Designed and implemented high-throughput Kafka-based distributed data pipelines processing 500+ messages per second for real-time analytics and operational intelligence systems.
• Developed scalable event-driven integration architectures supporting secure data replication and asynchronous processing across DEV/UAT/PROD environments.
• Implemented CI/CD pipelines and automated deployment workflows for data platform services, enabling zero-downtime releases and improved operational reliability.
• Applied containerisation and orchestration technologies including Docker to standardise deployment and improve scalability of platform services.

Senior Data Analyst - Marina Bay Sands - Singapore

(2022-02 - 2022-06)

• Automated ETL pipelines and optimised complex SQL queries to power real‑time dashboards, improving analytics speed and reliability for live KPI tracking and operational decision‑making.
• Built and maintained Tableau/SQL performance dashboards covering revenue, marketing, and customer behaviour, translating large datasets into clear visual insights for non‑technical business stakeholders.
• Partnered with marketing and operations teams to define analytical requirements, perform exploratory data analysis, and deliver actionable insights that informed targeted campaigns and revenue optimisation initiatives.

Data Analyst - Johnson Controls - Singapore

(2021-07 - 2021-12)

• Developed ARIMA and regression‑based demand forecasting models in Python/SQL, improving planning accuracy and directly supporting capacity and inventory optimisation.
• Built rule‑based data mining and lead‑scoring models for customer segmentation, increasing qualified leads by 20% through targeted, data‑driven sales campaigns.
• Applied statistical analysis and exploratory data analysis to evaluate performance, presenting insights and recommendations to sales and operations stakeholders.

Cloud Technology Associate - Google Asia Pacific - Singapore

(2020-10 - 2021-07)

• Developed and deployed machine learning recommendation models using BigQuery ML and TensorFlow, improving user engagement by 15% through personalised ranking and predictive analytics.
• Built scalable cloud-native ML pipelines on Google Cloud Platform (GCP) supporting training, evaluation, and inference workloads.
• Engineered production-grade data processing pipelines and optimised large-scale SQL workflows to support analytics and machine learning operations.
• Applied predictive modelling and ML optimisation techniques for engagement forecasting, recommendation systems, and behavioural analytics use cases.
• Improved performance and scalability of ML workflows through cloud optimisation, distributed processing strategies, and monitoring enhancements.

Business Insights Analyst - Harley-Davidson Asia Pacific - Singapore

(2018-05 - 2020-07)

• Led regional price elasticity and optimisation analyses using statistical models, driving a 25% sales increase through data‑driven pricing strategies across APAC markets.
• Designed and deployed time‑series forecasting models (ARIMA, Holt‑Winters, regression) to predict demand, improving forecast accuracy by 15% and optimising inventory and supply chain planning.
• Synthesised market, economic, and customer segmentation data into dashboards and reports for C‑suite stakeholders, enabling evidence‑based strategic planning and market expansion decisions.

Business Analyst - Hewlett Packard Enterprise - Singapore

(2017-08 - 2018-05)

• Performed revenue and billing analytics that identified and recovered SGD 500K in unbilled charges, strengthening financial governance and compliance.
• Built cost and procurement analytics models that delivered 30% cost savings by optimising hardware lifecycle and supplier spend.
• Supported business case development and financial modelling for capital investments, clearly articulating data‑driven scenarios and recommendations to senior management.

Supply Chain Coordinator - ExxonMobil Chemical APAC - Singapore

(2014-06 - 2017-08)

• Managed end-to-end regional logistics, inventory coordination, and shipment planning for chemical products, ensuring on-time, compliant delivery across APAC manufacturing networks.
• Used SAP ERP and shipment data to track inventory levels, shipment status, and cycle times, supporting data-driven decisions on stock allocation and replenishment.
• Prepared and monitored documentation for international movements (MSDS, customs, trade compliance), reducing errors and supporting smooth cross border operations.

Document Control, Import & Export Executive - Stelop Pte Ltd - Singapore

(2010-03 - 2014-06)

• Managed import/export documentation and customs compliance for regional shipments.
• Coordinated logistics, inventory tracking, and shipment planning using SAP ERP systems.
• Reduced documentation errors and improved cross-border processing efficiency.

Specialist Diploma - Data Science - Singapore Polytechnic (SP) (2020-03 - 2021-03)

Master of Technology - Knowledge Engineering - National University of Singapore (NUS) (2018-06 - 2020-06)

Bachelor of Science (Honours) - Logistics Management - University College Dublin (UCD) (2012-07 - 2014-07)

Specialist Diploma - Supply Chain Management - Nanyang Polytechnic (NYP) (2009-03 - 2010-01)

Diploma - Manufacturing Engineering - Nanyang Polytechnic (NYP) (2002-06 - 2005-06)