Assistant Director, Data Automation & ML Ops Lead

Tan Tock Seng Hospital; Singapore; On-site; SGD 140,000 - 200,000; Full time

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.

Skills

Team leadership

Data automation

AI model operations

Stakeholder management

Python

SQL

MLOps

Data governance

De-identification

Cloud platforms

SharePoint

HTML

XML

VBA

Documentation

Education

Bachelor’s or higher in CS/Engineering/IT or related

Tools

SharePoint

HTML

XML

VBA

Job description

Summary

We are looking for a forward-thinking leader to drive intelligent data automation, AI model operationalisation, and data governance initiatives across the organisation. As the Data Automation & ML Ops Lead, you will lead a team of analysts and engineers in developing innovative data solutions, deploying AI-driven applications, and enabling secure data access through de-identification and anonymisation services. You will play a key role in advancing the organisation's digital transformation agenda and improving operational and clinical outcomes through data and AI.

Summary

We are looking for a forward-thinking leader to drive intelligent data automation, AI model operationalisation, and data governance initiatives across the organisation. As the Data Automation & ML Ops Lead, you will lead a team of analysts and engineers in developing innovative data solutions, deploying AI-driven applications, and enabling secure data access through de-identification and anonymisation services. You will play a key role in advancing the organisation's digital transformation agenda and improving operational and clinical outcomes through data and AI.

What Will You Lead?

• 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.

What Will You Bring?

• 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.
• E xcellent 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.