Assistant Manager, Data & AI

sggovterp; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Sentosa Development Corporation is seeking an Assistant Manager, Data & AI to lead hands-on engineering, deployment, and operational health of data and AI applications across guest-facing and staff-facing use cases. You will automate data ingestion, build scalable pipelines, and partner with IT and vendors to ensure reliability and security in line with WOG standards.

The role requires 3–5 years in data/AI, a degree in CS/Engineering/DS, and experience with Snowflake and MSSQL.

Qualifications

• 3-5 years of progressive experience in data engineering, software engineering, or AI application development.
• Experience building and operating cloud-based data pipelines and AI applications.
• Familiarity with WOG security policies, IM8 data governance, and security review processes is a plus.

Responsibilities

• Lead the roadmap for AI applications spanning guest experience, staff productivity, and corporate process augmentation.
• Design, build, and maintain enterprise data pipelines and central data platform.
• Coordinate quarterly security review cycles and ensure compliance with WOG standards.
• Engage stakeholders and manage AI and data engineering vendors against milestones.

Skills

SQL

NoSQL

Data pipelines

Cloud platforms

AI applications

CI/CD

Security basics

Education

Bachelor's or Master's degree in CS/Engineering/Data Science

Tools

Snowflake

MSSQL

Job description

Job Description Summary

Overall Job Purpose

The Assistant Manager, Data & AI is responsible for the hands-on engineering, deployment, and operational health of Sentosa Development Corporation's (SDC) Data & AI applications and underlying infrastructure. The role contributes towards building and deploying AI products across guest-facing and staff-facing use cases, automates data ingestion and pipeline operations, and serves as the technical liaison for whole-of-government (WOG) security assessments and IT governance processes. The role works closely with the AI Engineering lead, business stakeholders, vendors, and SDC's IT department to ensure AI products and data platforms are reliable, secure, and aligned to WOG standards.

What you will be working on

Job Description

Key Responsibilities

AI Application Development

• - Execute the roadmap for AI applications spanning guest experience, staff productivity, and corporate process augmentation, including conversational assistants, retrieval-augmented generation systems, and purpose-built AI tools.
• - Lead the development of AI-assisted decision support tools for corporate and operational processes, from prototype through to pilot deployment and adoption.
• - Contribute engineering effort across the full AI applications portfolio, including agentic systems and data-driven capabilities, with clear modular ownership and knowledge transfer.

Data Infrastructure and Pipelines

• - Design, build, and maintain enterprise data pipelines that ingest, transform, and load data from operational systems into the central data platform, ensuring reliability, accuracy, and scalability.
• - Drive automation of manual data ingestion processes to reduce operational workload and improve data freshness and quality.
• - Maintain the health of the enterprise data platform, including cloud data warehouse and analytics environments, with monitoring, performance tuning, and cost optimisation.

Security and WOG Governance Liaison

• - Serve as the technical liaison with SDC's IT department and external security partners for whole-of-government security assessments, including vulnerability assessments and penetration testing (VAPT) on Data & AI systems.
• - Coordinate quarterly security review cycles, remediate findings within agreed service levels, and maintain a documented security posture for all Data & AI products and infrastructure.
• - Ensure all Data & AI engineering work complies with IM8, WOG data governance, and other applicable standards, including alignment to SGTS-approved tooling and government commercial cloud requirements.

Stakeholder and Vendor Engagement

• - Engage business stakeholders to translate requirements into engineering deliverables, with clear scoping, estimation, and post-delivery support.
• - Manage AI and data engineering vendors against project milestones, technical quality, and contractual commitments.

What we are looking for

Job Requirements

Qualifications and Experience

• - Master's or Bachelor's degree in Computer Science, Engineering, Data Science, or related discipline.
• - 3-5 years of progressive experience in data engineering, software engineering, or AI application development, including hands-on delivery of production systems.
• - Demonstrated experience building and operating cloud-based data pipelines and AI applications, with familiarity in widely used enterprise data warehouse platforms (e.g. Snowflake, MSSQL databases)
• - Experience with WOG digital policies, government commercial cloud environments, IM8 requirements, and security review processes is an advantage.

Knowledge, Capability, and Attributes

• - Strong technical depth in data engineering, including SQL and NoSQL databases, ETL/ELT pipeline design, and modern data orchestration tools.
• - Working knowledge of Full stack development for AI applications & knowledge of architecture including LLMs, retrieval-augmented generation, vector databases, and prompt engineering.
• - Practical experience with cloud-native development, CI/CD pipelines, containerisation, and infrastructure-as-code.
• - Sound understanding of IT security principles, vulnerability management, and the practical execution of security assessments.
• - Strong problem-solving instincts, ability to work across multiple parallel workstreams, and a proactive approach to learning new technologies.