VP, Model Owner, Technology Data Chapter, Group Technology (WD86412)

DBS Bank Limited; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

DBS Bank Limited is seeking an experienced AI/ML leader to own the lifecycle of models and GenAI solutions across development, deployment and monitoring. You will drive governance, data quality, and requirement translation to delivery teams while partnering with stakeholders to ensure responsible AI usage.

You will mentor teams, perform rigorous testing for performance and fairness, and communicate insights clearly to business partners, balancing innovation with regulatory and ethical

Qualifications

• Experience in AI/ML model development, deployment and monitoring.
• Strong understanding of AI/GenAI/Agentic AI and data quality principles.
• Familiarity with AI governance standards (e.g., MAS FEAT).
• Ability to conduct thorough model testing, performance review, and fairness assessments.
• Excellent communication to articulate concepts to diverse audiences and stakeholders.
• Strong problem-solving to identify and mitigate model risks.
• Commitment to ethical data practices and responsible AI development.

Responsibilities

• Own the development, deployment, and monitoring of AI/ML models/GenAI solutions throughout their life cycle.
• Translate business requirements from Use Case Owner to model development teams and ensure alignment with requirements.
• Conduct comprehensive model testing and review performance and fairness results.
• Provide necessary communication and user training on model outputs, usage, assumptions and limitations.
• Identify and periodically quality-check critical data attributes to meet data quality thresholds.
• Ensure owned models adhere to AI governance framework and regulatory policies.
• Oversee Proxy Model Owner for third-party models and conduct due diligence and reviews.

Skills

AI/ML model development

GenAI/Agentic AI

Model deployment

Model monitoring

Data quality principles

AI governance

Communication skills

Problem-solving

Ethical data practices

Job description

Business Function

Group Technology empowers the bank with an efficient, nimble and resilient infrastructure and system through a strategic focus on productivity, quality & control, technology, coupled with strengthening people capability and banking on innovation. In Group Technology, we manage the majority of the Bank's operational processes and inspire to delight our business partners and customers through our multiple banking delivery channels.

Job Responsibilities

• Model Lifecycle Management: Own the development, deployment, and monitoring of AI/ML models/GenAI solution throughout their life cycle.

• Requirements Translation: Ensure that business requirements from the Use Case Owner are clearly communicated to the model development team and that models are developed according to these requirements.

• Model Evaluation & Testing: Conduct comprehensive model testing and review performance and fairness results (where applicable) to ensure models are fit for purpose and ready for deployment.

• Communication & Training: Ensure necessary communication and user training on model outputs, expected usage, assumptions, and limitations are provided to the use case team.

• Data Quality Assurance: Ensure that critical data attributes for the model are identified and periodically quality-checked to meet defined data quality thresholds.

• Governance & Compliance: Ensure all owned models adhere to the AI governance framework, unit and location-specific requirements, and other internal and external policies and regulations.

• Third-Party Model Oversight (Proxy Model Owner): If a third-party AI model (e.g., ecosystem partner model or subscription-based model) is used where DBS does not own or have access to the model, a Proxy Model Owner will be identified. This role focuses on the evaluation and ongoing monitoring of the model to ensure its fitness for purpose, conducting appropriate due diligence, and reviewing vendor documentation and processes.

Job Requirements

• Proven experience in AI/ML model/GenAI solution/Agentic AI development, deployment, and monitoring within a data-intensive environment.

• Strong understanding of AI/ML models/GenAI/Agentic AI solution, data quality principles, and relevant governance frameworks.

• Familiarity with responsible data use principles and AI governance standards, such as MAS FEAT principles.

• Ability to conduct thorough model testing, performance review, and fairness assessments.

• Excellent communication skills to articulate concepts to diverse audiences, provide user training, and collaborate effectively with stakeholders.

• Strong problem-solving abilities to identify and mitigate risks associated with model usage.

• A deep understanding and commitment to ethical data practices and responsible AI development.

• We offera competitive salary and benefits package and the professional advantages of adynamic environment that supports your development and recognises yourachievements.