Digital Enablement Manager (1 Year Contract)

PRUDENTIAL ASSURANCE COMPANY SINGAPORE (PTE) LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PRUDENTIAL ASSURANCE COMPANY SINGAPORE (PTE) LIMITED is seeking a Digital Enablement Manager to translate business needs into impactful digital solutions, driving AI-enabled capabilities across distribution channels. You will work with Business and Technology teams to define requirements, run UAT, ensure governance and operationalization, and explore GenAI for distributor journeys.

The role requires strong governance, user-centered design, and ability to deliver in a fast-paced, agile

Qualifications

• Governance, execution and risk management in agile environments.
• User-centered design principles with user research experience.
• Data-driven decision making and translating requirements into deliverables.
• Understanding of AI and Generative AI concepts with practical use cases.
• Experience with AI solution development lifecycle, testing and governance.
• Ability to define quality expectations and manage AI outputs.
• Awareness of responsible AI: privacy, security, transparency and oversight.
• Excellent stakeholder management and English communication.

Responsibilities

• Drive development of AI-enabled digital distribution capabilities.
• Identify opportunities to leverage AI, GenAI, automation and data-driven solutions.
• Champion user-led design by engaging distributors during the design process.
• Define end-to-end processes and translate opportunities into use cases and features.
• Lead initiatives from PoC through implementation and operationalization (feasibility, governance, testing).
• Collaborate with Business Analysts, Tech Product Owners and Engineers on requirements and stories.
• Oversee UAT, sign-off and post-production verification of AI-enabled capabilities.
• Coordinate UAT with SMEs for testing, sign-off and defect triage.
• Ensure governance, controls and human oversight across the solution lifecycle.
• Support adoption and change management with training and communications.
• Monitor delivery, risks, issues, dependencies and priorities; manage follow-ups.
• Manage BAU operations and platform maintenance, including incident handling.

Skills

Project governance

Risk management

User-centered design

User research

Data-driven decisions

AI & GenAI concepts

AI solution lifecycle

Quality assurance

Responsible AI

Stakeholder management

Communication (English)

Product vision & leadership

Job description

Job Profile Summary:

Join us at an exciting stage of our digital transformation as we harness technology, data and AI to transform our distribution channels, improve productivity and deliver better customer and business outcomes.

The Distribution Digital Enablement team shapes and delivers next-generation digital and AI-enabled capabilities, taking initiatives from ideation and user-centered design through requirements, development, testing, governance, launch and continuous improvement.

As a Digital Enablement Manager, you will translate business needs into impactful digital solutions, working across Business and Technology teams to drive product development, UAT and quality assurance, defect resolution, business sign-off, adoption and operationalization.

You will also identify opportunities to leverage AI, automation and data to enhance distributor journeys and continuously improve our digital platforms.

Job Description:

Drive the development of next-generation digital distribution and AI-enabled capabilities to improve productivity, efficiency and effectiveness through continuous ideation, development, launch and iteration.

Identify opportunities to leverage AI, GenAI, automation and data-driven solutions to enhance distributor journeys, streamline business processes and deliver better business and customer outcomes.

Champion user-led design by engaging distributors throughout the design process to ensure solutions meet user, customer and business needs.

Define end-to-end business processes and journeys, articulate business value, and translate opportunities into use cases, requirements and prioritized product features.

Drive digital and AI initiatives from proof-of-concept through implementation and operationalization, including feasibility assessment, stakeholder alignment, testing, governance and business readiness.

Partner with Business Analysts, Tech Product Owners and Engineers to define requirements, review user stories, clarify business rules and priorities the product backlog.

Oversee solution quality through UAT, business sign-off and post-production verification, including appropriate evaluation and testing of AI-enabled capabilities.

Plan, execute and coordinate UAT to validate solution quality and business requirements, engaging relevant Business SMEs for testing and sign-off, and supporting defect triage, prioritization, resolution and retesting through to deployment.

Collaborate with Technology, Customer, Compliance and Risk teams to ensure appropriate governance, controls, guardrails and human oversight are incorporated throughout the solution lifecycle.

Support adoption and change management through effective communications, training and stakeholder engagement for new launches and enhancements.

Monitor project delivery, communicate progress and priorities, and proactively manage risks, issues, dependencies and follow-ups.

Manage ongoing operations and BAU support of digital platforms, including incident management, issue resolution, operational monitoring and platform maintenance.

Monitor adoption, user experience, solution quality and operational performance, using feedback and usage insights to priorities continuous improvements.

Who we are looking for:

• Proficient in project governance, execution and risk management; able to deliver excellence in fast-paced, agile environments.
• Strong understanding of user-centered design principles, with experience in user research and feedback integration.
• Data-driven decision-making and ability to translate complex business requirements into actionable deliverables.
• Good understanding of AI and Generative AI concepts, with the ability to identify practical business use cases and translate them into solution requirements.
• Experience or familiarity with AI solution development and implementation lifecycle, including use-case definition, testing and validation, governance, guardrails, human oversight, deployment and continuous improvement.
• Ability to critically evaluate AI-generated outputs and work with business and technology teams to define quality expectations, acceptance criteria and appropriate controls.
• Awareness of responsible AI considerations, including accuracy, data/privacy, security, transparency, human oversight and the potential risks associated with AI-enabled solutions.
• Creative, innovative and collaborative mindset with good business acumen.
• Skilled in stakeholder management and clear communication across all levels; excellent written and verbal English.
• Highly organized, detail-oriented and capable of managing multiple priorities under tight timelines.
• Self-driven, adaptable and comfortable with ambiguity; proactive in problem-solving.
• Ability to define product vision and inspire teams; effective team player who can work independently.
• Curious about emerging technologies and able to challenge the status quo by identifying new opportunities to apply digital and AI capabilities.
• Familiarity with too