AI Enablement Lead

PRUDENTIAL SERVICES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading financial services firm in Singapore seeks an AI Enablement Lead to promote AI adoption across the organization. The role involves developing guidelines for AI project alignment with business priorities, managing AI monetization processes, and fostering stakeholder collaboration. Candidates should have over 10 years of experience in AI or data science, a relevant master's degree, and a proven track record in change management and stakeholder engagement. This position plays a crucial role in ensuring that AI initiatives contribute effectively to business strategies.

Qualifications

• 10+ years of experience in technology, data science, or AI in financial services.
• Experience in AI monetization or commercialization projects.
• Experience leading data science or software development teams.

Responsibilities

• Lead AI adoption initiatives across the organization.
• Support business alignment of AI projects.
• Enhance AI lifecycle monitoring and governance.

Skills

AI monetization

Change management

Communication skills

Stakeholder management

Interpersonal skills

Education

Master's degree in IT, software engineering, or AI/Data related field

Job description

We seek a passionate AI professional to promote and enable AI adoption across the Prudential Group.

The AI Enablement Lead will be responsible for ensuring AI projects align with business and commercial priorities. This involves the development of end-to-end guidelines and processes for the selection, development and monitoring of business outcomes of AI solutions.

The role also supports AI adoption initiatives that promote AI usage across the business. This includes supporting training and change management initiatives leading to greater use of AI across the company.

Key Responsibilities

AI Benefits Tracking

• Responsible for the execution of the AI Monetization Process
• Mature and evolve the AI Monetization Process
• Support local teams to adopt existing and new AI monetization process
• Develop and mature the AI Business Intake Process
• Track and report on the number of AI systems in production and development

Strategic Alignment

• Embed strategic intake processes that assess AI initiatives for commercial, ethical, legal, and operational fit before approval.
• Establish governance checkpoints to validate alignment with enterprise priorities, risk appetite, and regulatory obligations.

Lifecycle Monitoring and Oversight

• Enhance the SDLC to support more streamlined AI deployment
• Implement pre-deployment risk assessments and post-deployment performance monitoring to ensure ongoing accountability.
• Operationalize incident management protocols for high-risk AI use cases, including escalation and remediation workflows.
• Ensure traceability and auditability across the AI lifecycle through standardized documentation and validation logs.

Change Management, Training and Awareness

• Accountable for the AI adoption KPI
• Manage the execution and evolution of the AI for All training program to mature and expand AI adoption for all staff
• Create and support company-wide communication of key developments in AI
• Embed ethical considerations into development workflows through toolkits, guidelines, and peer review processes.
• Foster stakeholder trust by encouraging transparency, inclusive design, and cross-functional collaboration in AI projects.

Stakeholder management

• Work with stakeholders across the organization, including data scientists, engineers, business leaders and LBUs to ensure sufficient input and buy-in for decisions on changes and development of guidelines and standards.
• Provide relevant training and guidance to stakeholders from various technical and non-technical domains.
• Help develop and maintain relationships with external partners and vendors.

Other Responsibilities

• Stay up to date with industry trends, regulatory requirements, and emerging technologies in AI focused on AI adoption and monetization.
• Participate in industry forums and working groups that advance AI adoption.
• Stay abreast of Prudential’s AI Objectives, and AI Strategy.

Requirements

• At least 10 years of experience in technology, data science or AI in financial services.
• Master’s degree or higher in an IT discipline, software engineering, or an AI/Data related field.
• Experienced in AI monetization or AI commercialization projects.
• Strong knowledge of the current AI landscape and best practices using AI for personal productivity through to process redesign.
• Experience developing training and/or change management programs.
• Experience leading and maturing data science, AI or software development teams.
• Excellent communication and interpersonal skills, with the ability to build relationships. Experience in leading by influence.