Digital Transformation Manager - 1 year contract - Up to S$8k

TALENT EDGE RECRUITMENT LLP; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

TALENT EDGE RECRUITMENT LLP is seeking a product/portfolio lead to drive AI-enabled capabilities and digital distribution improvements in a fast-paced environment. You will ideate, develop, launch and iterate solutions with cross-functional teams, prioritizing business impact and user value.

The role requires experience with AI concepts, Agile methodologies and tooling, and the ability to translate business needs into actionable requirements for engineers and analysts.

Qualifications

• Experience in project management in the Financial Industry or similar domain.
• Familiarity with AI concepts and practical business use cases.
• Comfort translating business needs into clear solution requirements.

Responsibilities

• Lead ideation, development, launch and iteration of AI-enabled capabilities.
• Identify AI adoption opportunities to improve distributor journeys and business processes.
• Engage with stakeholders to define requirements and prioritize product features.
• Oversee end-to-end solution lifecycle, including UAT, governance and readiness.

Skills

AI & GenAI

Agile/Scrum

Communication

Problem solving

Tools

JIRA

Confluence

Figma

Job description

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.

Requirements:

• Must have experience in project management in the Financial Industry
• Must have experience working in Agile/Scrum environments
• 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
• Awareness of responsible AI considerations, including accuracy, data/privacy, security, transparency, human oversight and the potential risks associated with AI-enabled solutions.
• Familiarity with tools such as JIRA, Confluence and Figma