Bring your career aspirations to life with AIA!

To support the Head of Health & Wellness in strategy development, business performance/engagement monitoring and analysis, and in ensuring that business objectives are met.

ROLES AND RESPONSIBILITIES

Strategy

• Support Head of Health & Wellness in ensuring that all strategic and business objectives are achieved and in managing stakeholder relations

• Lead the annual development of the rolling 3-year strategic plan for Health & Wellness

• Conduct/refresh longitudinal study to understand long-term value created by Vitality program and health solutions

Stakeholder Relations

• Organize and coordinate stakeholder summits, planning and review sessions and other relevant meetings with local and Group Office partners to understand and assess current performance, issues, strengths and opportunities

Business Development

• Lead the development of business cases for new strategic initiatives, business and partnership opportunities

• Collaborate with key stakeholders to drive upsell/cross-sell, repurchase and persistency initiatives

Member Acquisition

• Explore and recommend ways to increase members through proactive measures which can include setting up of Operating Committee to identify key issues and developing initiatives

Management Reporting

• Handle preparation of regular management and engagement reports covering key metrics to monitor progress against health & wellness’ key performance indicators

• Handle other local and Group reports such as monthly business reviews, dashboards, finance data requirements, fraud reporting et al

• In reporting, role will entail analysis and modelling of structured data using advanced statistical methods; also generate insights to clearly understand the quantifiable value; turn statistical and analysis into user-friendly graphs, charts, and reports

Capability Development

• Collaborate with stakeholders to develop tools and services such as modeling, dashboard development, and recommend solutions

• Work cross functionally and across geographies with data architecture and IT infrastructure teams to build robust data warehousing and data mining systems

• Collate and analyze data from multiple, disparate data sources to drive engagement and refine product enhancement

• Learn app and site analytics i.e., Adobe Analytics to help with UX and content improvements

MINIMUM JOB REQUIREMENTS

• A university graduate, or equivalent, preferably with experience in business management and development

• Strong communication skills across a range of mediums—written, oral and presentation

• Highly analytical with excellent skills in excel and other tools

• Strong collaboration and influencing skills

• Pleasant personality, independent and proactive

Key requirements as recommended by Group

• Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 2 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data

• In lieu of a degree, a minimum of 4-6 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools and in using various database tools processing large volumes of structured and unstructured data

• A minimum of 2-4 years experience with mathematical model creation and/or evaluation, hypothesis testing and experimental design

• Demonstrated skills in data mining, machine learning, and programming

• Experience in thought leadership in applying data driven models that had a tangible impact on business

• Ability to query databases and apply advanced data manipulation techniques across multiple sources

• Strong communication skills, both verbal and written 

• Ability to understand and articulate the “big picture” and simplify complex ideas 

• Solid project management skills and ability to handle multiple projects simultaneously while meeting tight and potentially changing deadlines in a high-paced and dynamic environment

• Strong problem solving and structuring skills; ability to mine large datasets and surface actionable insights

• Ability to identify and learn applicable new techniques independently as needed

Highly Preferred Skills and Experience

• Experience with R, Python, or similar programming or statistical scripting languages 

• Experience with distributed computing systems like Hadoop 

• A demonstrated command of the concepts of model validation, statistical inference and feature engineering 

• Working knowledge of designing and developing, programming and supporting software programs/applications

• Ability to build dashboards and other data visualizations; experience with tools such as Cognos and Tableau

• Familiarity with data warehousing, schemas, and IT infrastructure

• Familiarity with web and mobile analytics; tools such as Google Analytics and Omniture

Build a career with us as we help our customers and the community live healthier, longer, better lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.