Digital Solutions Manager - Customer Support and Operations Excellence

Responsibilities

• Translate business needs into scalable, ethical and impactful AI/data solutions.
• Plan and lead the end-to-end implementation of Bank-wide AI/Data programs/projects with AI/data expertise.
• Bridge the gap between user team, technical teams and other key stakeholders to deliver measurable value for the Bank.
• Support the ideation & business cases development for AI use cases with satisfied ROI and commercialization opportunities.
• Deliver measurable program/ project financial KPIs and achieve benefits realization.
• Deliver timely and quality Data Solutions & Strategies to internal stakeholders
• Facilitate the development and implementation of Data Solutions & Strategies that generate measurable benefits for the Bank, enable identification of new market opportunities to drive innovation
• Lead the end-to-end solution design process, defining functional, technical and control requirements.
• Architect scalable, secure and maintainable solution blueprints in collaboration with data scientists and engineers.
• Plan, develop and lead the implementation of the end-to-end AI/Data solutions/project. Manage project timelines, resources, budget, risks and dependencies.
• Adopt best practices in AI & data project lifecycle management and contribute to the improvement of relevant policies and governance with constructive feedback.
• Work closely with business sponsors and stakeholders to identify opportunities
• Work closely with IT and Data scientist to develop and implement AI & data solutions.
• Communicate complex technical concepts effectively to non-technical audience.
• Promote the continuous learning of new Fintech solutions and sharing of market best practice.
• Conduct market and technology research to stay ahead of trends in AI/ML, data engineering and cloud platforms
• Comply with all applicable regulations, rules, codes, guidelines and standards set by regulators and the Bank, and carry out duties with high integrity; and
• Adhere to all established risk control guidelines, procedures and measures to identify, assess, report, mitigate and monitor the risks involved in the day-to-day work Requirements
• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics or a related qualitative field. Master's degree or MBA preferred.
• 7+ years of progressive experience in data & analytics, with at least 3+ years in a role specifically managing AI/ML or complex digital solution delivery in financial services and/or Fintech related industries. Previous experience in a managerial role is preferred.
• Deep understanding of AI/ML frameworks (supervised/unsupervised learning, NLP, GenAI, etc.), data engineering and cloud platforms (GCP)
• Strong proficiency in prompt engineering, SQL and Python
• Strong expertise in data modelling methodology, data visualization and statistical analysis.
• Strong knowledge of industry leading data management practices and ability to translate data insight into business value. Sound understanding of data governance and model risk management.
• Strong knowledge on business and operation models of banking, with thorough understanding on the local regulatory environment
• Result oriented and able to deliver under pressure
• Outstanding stakeholder management, communication and presentation skills.
• Strong problem-solving, analytical and critical thinking abilities.
• Proficient in both spoken and written English and Chinese (Cantonese + Mandarin)
• (Candidates with less experience will be considered as Digital Solutions Manager) Personal data provided by job applicants will be used for recruitment purposes only and will be treated in accordance with the Bank's Personal Information Collection (Employees) Statement and Privacy Policy Statement. Applicants who are not invited for interviews within six weeks may consider their applications unsuccessful and the personal data collected will be destroyed after 1 year.