Lead Data Science

Lead Data Science & AI (Governance & Risk)
Date posted: 29/08/2025
Job Type: Permanent
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.
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 .
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.
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.
Personal data collected will be used for recruitment purposes only.
Only shortlisted candidates will be notified / contacted.
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.
Website:
Full Name Email Address Telephone Attach CV (Optional) Brief Message Please tick to acknowledge your agreement with our Privacy Policy
#J-18808-Ljbffr