Senior Director, Innovation and Artificial Intelligence Lab

Địa điểm Hà Nội
Ngành nghề
Category C-suite
Mã số 11539
Lương 200.000.000 and above
Loại công việc Cố định
Email liên hệ
Điện thoại liên hệ 0336 925 689
Ngày đăng Dec 18, 2021

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