Digital and Technology Manager

Role Purpose

• Support the demand for tech solutions across the business.

• Provide dedicated capacity for the delivery and lifecycle management of tech products and applications.

• Support the translation of business requirements into practical tech product requirements and use cases.

• Improve coordination between business, Digital & Technology teams, and external vendors during solution delivery, leverage AI to simplify business processes and improve operational efficiency.

• Support the evaluation, testing, deployment and continuous improvement of solutions to ensure they meet business and user needs.

• Strengthen internal ownership of digital and ai product knowledge, requirements, documentation and operational processes.

• Support the responsible adoption and scaling of AI capabilities while ensuring appropriate data, security, privacy and governance requirements are considered.

Key Accountabilities/Responsibilities

• Manage assigned tech solutions throughout their lifecycle, from requirements gathering to implementation and ongoing support.

• Work with business to understand business problems and translate them into clear requirements and use cases. Leverage AI to simplify business processes and improve operational efficiency.

• Coordinate with data scientists, AI/ML engineers, technology teams and external vendors to support tech solution design, development, testing and deployment.

• Support the assessment and prioritization of AI use cases based on business value, feasibility, user needs and implementation considerations.

• Define and maintain product requirements, user stories, acceptance criteria and product documentation for assigned tech products.

• Coordinate functional testing, user acceptance testing and solution validation before production release.

• Support the evaluation of Digital & AI solution quality and identify opportunities for product and user experience improvement.

• Manage product-related issues, risks and dependencies and coordinate with relevant teams to drive resolution.

• Work with relevant teams to ensure data, security, privacy and responsible requirements are considered throughout the product lifecycle.

• Maintain appropriate tech product documentation, including business requirements, product specifications, testing results, release information and operational documentation.

• Support the evaluation of technologies, platforms and vendor solutions based on specific product and business requirements.

• Identify opportunities to continuously improve existing AI products and expand their business value and user adoption.

Qualifications/Requirements

• Bachelor’s degree or above in Computer Science, Information Technology, Engineering or a related discipline.

• 3-5 years or above of relevant experience in technology project delivery or related technology areas.

• Experience in supporting or managing digital, data or AI-enabled products throughout the product lifecycle is preferred.

• Good understanding of AI, machine learning and Generative AI concepts and their application in business solutions.

• Basic understanding of data, APIs, system integration, cloud technologies and modern application architecture.

• Experience in requirements gathering, user story definition, testing, release coordination and production support.

• Ability to work effectively with data scientists, AI/ML engineers, software engineers and other technical specialists.

• Understanding of data quality, information security, privacy and responsible AI principles.

• Experience with Generative AI, large language models or AI-enabled applications is preferred.

• Good analytical and problem-solving skills, with the ability to translate business problems into practical product requirements.

• Good written in English and verbal communication skills