Director of Analytics and Innovation

7 days ago

Hong Kong, Central and Western District, Hong Kong SAR China AIA International Limited. Full time

AIA International Limited is driving a movement to create a healthier, more sustainable future for everyone. We're transforming our organisation to be faster, simpler and more connected, developing digital solutions and experiences that help people live Healthier, Longer, Better Lives.

We need people with expertise in tech/digital/analytics to help develop positive, sustainable change through digitally enhanced experiences that impact millions of people and create a healthier future.

About the Role

The candidate will be an insights-driven analytics leader to support company's key initiatives and chart the course for the continual evolution of the organisation. S/he will be responsible for the overall data analytics strategy and roadmap for advance analytics services design and implementation to drive business outcomes.

The right person for this role will be solutions-oriented, have experience initiating business ideas, proactively identifies opportunities for business growth and optimisation, and is committed to data discipline and hygiene.

Key Responsibilities
  • Evangelize the use of data-informed decision making through the organization and create data-driven approach for leveraging data science and analytics to offer both internal and external business actionable insights.
  • Propose solutions and strategies to tackle business challenges and present data insight results in clear manner.
  • Analyze large amounts of structured and unstructured information to find patterns and solutions to drive business outcomes.
  • Lead efforts to select and implement the technologies required to enhance data collection procedures to include all relevant information for developing analytics systems.
  • Drive technology investments that utilize analytics as strategic tool.
  • Define the most important growth metrics that track the business's performance across different functions and utilize those to affect change.
  • Partner with stakeholders within the organization to identify and execute on analytical needs/gaps.
  • Design data solutions for various business functions.
  • Promote re-use and cross business function awareness of best practices and challenges.
  • Build and launch excellent productionalized, low-maintenance models with high value impact to the organisation.
  • Explore and leverage state of the art machine learning (ML) and artificial intelligence (AI) techniques for a variety of problems in the organisation.
  • Experience working with business stakeholders and users, providing research direction and solution design.
  • Experience developing and deploying ML/AI solutions in a public cloud such as Azure, Alicloud, or Google Cloud Platform.
  • Develop, maintain and enhance ML/AI solutions that are highly usable, scalable, secure, and able to be utilized in high volume distributed data.
People Management Duties
  • Direct activities of a team of data scientist and analysts, and project team members.
  • Identify, train and develop potential data scientists.
  • Implement staff management activities to align with company directive.
Requirements
  • Master degree or above in relevant fields (Computer Science, engineering, mathematics, statistics or related discipline)
  • 10+ years of relevant experience
  • Excellent analytical capability and understanding of various AI and analytical techniques
  • Knowledge of programming languages like SQL, Python, R, and Scala
  • Experience with big data open source solutions such as Spark
  • Demonstrated skill, comfort, and success in leading teams to deliver on analytics projects.
  • A track record of using quantitative analysis to inform commercialization decisions and product roadmaps.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • A strong data storyteller.
  • Demonstrated business acumen, analytical skills and ability to link strategies to business priorities and initiatives.
  • Proven track record of delivering results in a dynamic high-growth environment with aggressive timelines.
  • Ability to proactively identify gap and address data analytics related issues
  • Ability to learn and adapt quickly to new business domains and technologies.
  • Ability to conceptualize and articulate ideas clearly and concisely.
  • Hands-on experience with modern enterprise data architecture and data science toolkits.
  • Solid problem-solving and decision-making abilities.
  • Proven ability to identify innovation opportunities, define and deliver innovative business functions.
  • Ability to work independently and with team members from different backgrounds.
  • Sound business knowledge in insurance industry.
  • Excellent communication, presentation, consultative and interpersonal skills.

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