Assistant Director, Data Automation & ML Ops Lead

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.
• 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.