Head, Enterprise Analytics

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on. 

About the Role

Deliver best-in-class advanced analytics and visualisation solutions to drive business growth, improve efficiencies and reduce costs, working together with stakeholders across the company.

Role & Responsibilities

• Take overall ownership and accountability of Enterprise Analytics department comprising key functions like Data Science and Business Intelligence.
• Manage the overall training, development and growth plan for the data scientists, BI developers and analysts within the department.
• Responsible for the overall budgeting and resourcing for the department.
• Responsible for creating, modifying and delivering the analytics roadmap (which includes Data Science/Business Intelligence/Artificial Intelligence/Generative AI use cases), aligned with key strategic priorities for the company.
• Work and collaborate closely with various functions across the company in delivering analytics use cases that help to address key business problems or strategic challenges.
• Communicate findings from analytics modelling results to relevant stakeholders that will give insights to improve decision making and drive business performance.
• Create and maintain best practice for all analytics deliverables for the department, including quality assurance, tracking/monitoring of results/impacts/values and ensuring proper documentation.
• Responsible for the evaluation, governance and/or maintenance of Artificial Intelligence use cases in compliance with both local and group standards relating to the responsible use of Artificial Intelligence.
• Responsible for evangelising and increasing the adoption of data driven decision making across the company.
• Responsible for building and sustaining the Community of Practice for both Data Science and Business Intelligence for the company.
• Keep abreast of latest developments/technology in Data Science/Business Intelligence/Artificial Intelligence/Generative AI, including risks and opportunities.

• Timeliness of completion and quality of deliverables
• Effective stakeholder management
• Effective problem solving through self and/or with teams
• Achieve planned benefits realisation
• Internal and external recognition of value creation from various analytics use cases

Requirements

• Bachelor’s degree holder, ideally in STEM disciplines (Science, Technology, Engineering, Math); graduate degree in Statistics, Applied Math, Data Science or another related quantitative field is preferred.
• Minimum 10 years of working experience in analytics functions like Data Science, Business Intelligence, AI/Gen AI.
• Minimum 5 years of experience in leading, managing or mentoring an analytics team.
• Experience in delivering multiple analytics use cases which have created significant value for the company.
• Experience in maintaining and improving analytics platforms used for Data Science, Business Intelligence and/or Machine Learning Operations.
• Experience using programming languages (e.g. Python, R, SQL) to manipulate data and draw insights from large data sets.
• Experience with Business Intelligence tools (e.g. Tableau), Excel, PowerPoint.
• Knowledge of a variety of machine learning techniques (clustering, decision tree, random forest, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience of working on Azure-based cloud technologies will be highly desirable.
• Experience in SPARK-based technologies is highly desirable.
• Experience of working in Insurance, Banking or Healthcare sectors is highly desirable.
• Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
• Able to work independently and in a team, as well as being passionate, proactive and constantly striving for excellence.
• Able to communicate and influence effectively with individuals and teams at all levels of the organization.
• High level of integrity and takes ownership and accountability of results.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

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