Lead, Operations AI Enablement

PRUDENTIAL ASSURANCE COMPANY SINGAPORE (PTE) LIMITED; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

PRUDENTIAL ASSURANCE COMPANY SINGAPORE (PTE) LIMITED seeks an experienced professional to build and govern an agentic AI workforce across Operations. The role combines automation (RPA) with AI reasoning and decision support to drive efficiency, quality, and customer outcomes.

You will lead the design, rollout, and governance of AI bots and co-pilot implementations, ensure high-quality AI use cases, and align with regulatory expectations while partnering with stakeholders to identify priority

Qualifications

• Minimum Degree or Diploma with relevant experience.
• 6–10 years of background in AI, operations management, and experience in supporting and leading AI use cases and projects.
• Strong communication and stakeholder management skills.

Responsibilities

• Build an agentic AI workforce across Operations, integrating automation (RPA) with AI reasoning and decision support.
• Deploy co-pilot bots to accelerate Operations workflows and workload planning.
• Lead development of scalable AI use cases that can be plugged across platforms.
• Define and own the Operations AI rulebook, ensuring consistent AI behavior.
• Establish QA and assurance framework for AI, aligned with governance and regulatory expectations.

Skills

Strong communicator

Analytical thinking

Problem solving

Proactive and self-driven

Attention to detail

Education

Degree or Diploma in relevant field

Job description

Job Profile Summary

This role in operations is responsible for building and governing an agentic AI workforce across Operations, combining automation (RPA) with AI reasoning and decision support to deliver step-change improvements in efficiency, quality, and customer outcomes. As AI adoption accelerates across the organization, this role ensures Operations' use of AI is differentiated, governed, high-quality, and value-led rather than fragmented or tactical.

Job Description

Build an Agentic AI Workforce Across Operations

• Design and scale an agentic AI operating model combining RPA with AI to build bots that can be applied across the Operations value chain focusing on scalable tasks across Operations functions. Critical success factor is the ability to partners with SMEs to identify priority operational journeys where AI agents can autonomously execute, assist, or elevate decisions.
• Perform requirement data gathering in order to develop base functionality for the bots and partner with PACS technology team for development

Deploy Co-Pilot Bots for Operational Efficiency

• Lead the design and rollout of co-pilot bots to support Operations workflows
• Deploy co-pilot within Operations analytics to trigger intelligence and build forecasting model for workload planning and potential issues areas

Drive AI use cases development that can be plugged and played across platforms

• Act as the trusted AI advisor for AI use cases that can be scaled and support Operations transformation initiatives, providing guidance on where AI adds material value and advising senior leaders on investment and design decisions

Own the Operations view of AI Rules and Differentiation

• Define and maintain the Operations AI rulebook, including decision boundaries, human-in-the-loop requirements, and consistency of AI behaviour across journeys. Ensure Operations differentiates through decision quality and orchestration, not tool proliferation.

Define and Own the QA and Assurance Strategy for AI

• Establish the AI quality assurance framework for Operations, covering accuracy, stability, bias, drift monitoring, and escalation. Ensure alignment with Group AI governance, ethics principles, and regulatory expectations

Who we are looking for

Competencies & Personal Traits

• Strong communicator and influencer with the ability to build stakeholder relationships and drive organisational outcomes.
• Analytical, commercially astute and solution-oriented, with strong problem-solving capabilities.
• Proactive, resourceful and self-driven, able to work independently in a fast-paced and dynamic environment.
• High level of professionalism, discretion and attention to detail, with strong execution and follow-through.
• Adaptable and growth-oriented, with a passion for continuous improvement, innovation and change.

Education

• Minimum Degree or Diploma with relevant experience

Working Experience

• At least 6-10 years of background in AI, operations management, and experience in supporting and leading AI use cases and projects