Category: Data and Analytics Division
Job Purpose
The job holder responsible for:
- Drive leading management of emerging AI algorithms and use cases, and collaborate with peer-to-peer labs to create infrastructure for high-performance banking applications information application.
- The role of leader promotes thought leadership in AI and to translate AIL's new changes into meaningful products across the entire bank
Key Accountabilities (1)
- Build team and capabilities
- Build and manage team of data analysts and scientists; set up clear requirements, seniority levels, evaluation scheme
- Grow advanced analytics capabilities for the bank: introduce modern tech stack, distributed cloud computing, ML, DL;
- Set up numerical KPIs linked to business value, all output is measured and part of
- personal deliverable according to seniority
- Establish entrepreneurial team culture, tech and data driven, flat hierarchy; ideation and innovation is standard among all members
Key Accountabilities (2)
- Cooperate with business and create data product
- Build strong internal and external relationships with a focus on innovation and driving deliverables
- Agile cooperation with business to identify, develop and execute data products and AI use cases
- Translate business strategy and objectives into data requirements and serve with novel, modern solutions
- Evangelize the importance of strong data products and innovation with internal and external partners; help establish data driven culture
Key Accountabilities (3)
- Manage and drive projects to success:
- Wear product hat, establish close link between business and analytics, service oriented mentality, KPI goes first
- Set up squads, implement agile project management, translate requirements into resources; projects share same KPIs as business
- Success Profile - Qualification and Experiences
- Master's or Doctorate majoring in computer science or natural/numerical sciences
- 12+ years of experience in Data Science and Machine Learning/AI
- 8+ years of people management experience.
- Experience in data product innovation
- English proficiency requirements are pursuant to policy.
- Demonstrated experience in driving large scale AI/ML projects, embedding a new culture and new ways of working
- Demonstrated experience in agile project management
- Experience in Agile Development of data science products
- Experience in leading AI lab
- Experience in developing ML products and solutions provided via digital channels
- Strong knowledge and understanding of the latest digital and innovation trends in banking / financial technology landscape
- Understand new and emerging roles to drive AI innovation with related career paths
- Knowledgeable of existing and emerging innovative AI banking and payment solution
- Knowledgeable of existing and emerging digital and AI technologies