Lead Data Science & AI (Governance & Risk)

• Date posted: 29/08/2025
• Job Type: Permanent
• Salary: $200000-$230000
• Location: Singapore

• Bring a strong risk and control mindset, with the ability to identify, interpret, and apply governance frameworks and policies related to data, cloud, and AI.
• Play a key role in assessing and managing emerging technology risks, including the responsible use of Generative AI and ethical considerations for AI development.
• Ensure governance practices are embedded throughout the data and AI lifecycle, closing gaps in compliance and operational risk exposure.

• Support the automation and modernization of control frameworks using advanced analytics and AI/ML to enhance control effectiveness and efficiency.
• Embed governance and compliance checkpoints within automated pipelines to ensure robust monitoring, alerting, and auditability.

• Lead the development, testing, and deployment of AI/ML models aligned with model governance standards, ensuring performance, transparency, and regulatory compliance.
• Define and implement best practices for model validation, lifecycle management, and controlled upgrades.

• Work cross-functionally with data engineers, software developers, and risk professionals to integrate governance and risk requirements into data and AI initiatives.
• Deliver end-to-end AI/ML solutions that are secure, scalable, and compliant with SDLC and governance standards.

• Communicate risk and governance requirements to both technical and business stakeholders, translating complex topics into actionable insights.
• Help foster a culture of data stewardship and accountability, ensuring responsible ownership of data and AI assets across teams.

• Stay current with industry trends, evolving regulations, and governance frameworks related to data and AI risk.
• Contribute to the ongoing improvement of the firm's risk and control posture through innovation and strategic input.

• Master's degree in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a related field.
• 10+ years of experience in data and analytics, with a strong emphasis on governance, risk, and compliance.
• Proven track record in building and optimizing AI/ML models, with deep understanding of model governance and regulatory alignment.
• Experience with cloud platforms (AWS, GCP, or Azure), especially with their governance and security features.
• Proficiency in handling complex data types (structured, semi-structured, unstructured) within regulated environments.
• Demonstrated ability to assess and apply responsible AI frameworks, manage AI risks, and implement effective controls.
• Strong communication skills, with the ability to engage stakeholders on risk mitigation, governance obligations, and strategic data use.
• Solid knowledge of SDLC standards, including integration of data governance and application-level controls.

Sanderson iKas