Lead Data Science

The team is responsible for driving the firm's data, cloud, and AI strategy with a strong focus on governance, risk management, and compliance. In partnership with business and corporate functions, the team ensures that data assets are managed in line with enterprise policies, regulatory requirements, and best practices- supporting secure, ethical, and effective use of emerging technologies.

Role Description

Governance and Risk Focus:

• 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.

Control Framework Automation:

• 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.

Model Governance:

• 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.

Collaboration & Solution Delivery:

• 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.

Stakeholder Engagement:

• 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.

Continuous Improvement & Innovation:

• 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.

Skills, Experience, and Qualifications Required

• 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.

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EA Registration No: R
"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: E with EA license number 16S8086.
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