Head of AI-Driven Data Automation & ML Ops

Tan Tock Seng Hospital

Singapore

On-site

SGD 140,000 - 200,000

Full time

6 days ago

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Job summary

Tan Tock Seng Hospital is seeking a Data Automation & ML Ops Lead to drive intelligent data automation, AI model operationalisation, and data governance across the organisation. You will lead a team of analysts and engineers to develop innovative data solutions, deploy AI-driven applications, and enable secure data access through de-identification and anonymisation services.

You will collaborate with clinical and operational stakeholders to design scalable data solutions, implement governance,

Qualifications

Degree in Computer Science, Computer Engineering, Informatics, Software Engineering, Information Technology, Engineering or a related discipline.
At least 8-10 years of relevant experience in data management, data engineering, analytics, automation or AI-related roles.
Proven experience working with multiple stakeholders to design and deliver data-driven solutions.
Experience with data storage, processing, analytics and distribution platforms.
Hands-on programming experience in Python, SQL and related technologies.
Experience deploying and operationalising AI models; exposure to MLOps practices will be an advantage.
Knowledge of data anonymisation, de-identification and re-identification techniques is preferred.
Familiarity with technologies such as SharePoint, HTML, XML, VBA and major cloud or enterprise platforms is advantageous.
Strong leadership capability with experience managing and developing teams.
Excellent stakeholder management, communication and presentation skills.
Strong analytical and problem-solving abilities, with a passion for leveraging data and AI to create impact.
Ability to independently drive initiatives while collaborating effectively across technical and non-technical teams.
Strong documentation and solution design skills, including translating business needs into technical requirements and specifications.

Responsibilities

Lead and mentor a team of data analysts and engineers to deliver intelligent automation and AI-enabled solutions across the organisation.
Partner with clinical, operational and business stakeholders to design and implement scalable data solutions that enhance efficiency in data extraction, management and reporting.
Drive the deployment and adoption of AI and analytics models, including application development and enterprise-wide implementation.
Establish governance, monitoring and maintenance frameworks to ensure deployed solutions remain reliable, secure and effective.
Lead TTSH's Trusted Third Party (TTP) function, providing data de-identification, anonymisation and re-identification services in compliance with data security and privacy requirements.
Develop and enhance TTP protocols and processes to support responsible data access and usage.
Collaborate with internal technology teams, vendors and external partners to resolve technical issues and drive solution delivery.
Stay abreast of emerging technologies in AI, agentic AI, intelligent automation, databases and programming tools, and translate these innovations into practical solutions for the organisation.
Contribute to strategic planning and capability building within the Division of Informatics and Data.