Data Analytic Associate Director

1. Converse both in technical and business language across the stakeholder matrix.
2. Design, architect and manage analytics processes and infrastructure and define initiatives with senior management; Interface with the business to increase awareness on how to leverage advanced analytics tools and techniques by business communities.
3. Contribute to the establishment of consistent, best-in-class Analytics capability supporting the Insurance business but also simultaneously joining up with the rest of the Group.
4. Architect end-to-end analytics solutions from collaborating with IT on proper data infrastructure, to assemble and perform data science techniques, to integrate such solution into the overall technology environment for production in a highly digital environment.
5. Manage a direct team of data scientists & engineers, pioneer innovation by proactively linking new data & analytics trend to business need, and proactively drive in-house data science capability specifically in areas of sophisticated machine learning, deep learning and AI, provide thought leadership and delivery management on daily basis.
6. Enforce and monitor standards for the application of analytics across the businesses; Scope and define analytics need from stakeholders, deliver towards a data and analytics agenda on annual and ongoing basis and mobilize resources in the CoE to carry out such plans.
7. Enable and execute sales performance productivity analytics; External data collaboration and commercialization.
8. Lead the decision sciences practice with high quality analytical solutions for the business stakeholders across one of more regions; Mature advanced analytics capabilities that further enable the personalisation and increased relevance of customer experiences, across all channel touch points.
9. Establish and maintain a global best practice sharing environment for all aspects of new advanced analytics capabilities, new data sources as well as relevant fintech capabilities; Supports innovative analytical thinking & solutions that results into improved business performance.
10. Embrace market / industry best practices and bring-in best-in-class and relevant solutions for better business decisions
The role holder shall also be expected to guide and lead team members from a functional perspective and help them build up a strong business understanding. "
工作要求
1. Master or PhD in relevant quantitative disciplines such as Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or a related discipline with a focus on use of analytics and optimization to influence business decisions.
2. 10+ years of experience in leveraging Data Analytics / AI technologies to Drive Business Growth, Identify Product Proposition or Enhance Customer Experience, etc; Strong Retail Banking and/or Life Insurance products or Wealth Management business knowledge and knowledge of profitability model.
3. Hands-on expereience in at least one of the followings: Machine Learning, Natural Language Processing/generation, AI/LLM, Quantitive Analytics & Modelling.
4. Experience on cloud-based data ecosystems (e.g. AliCloud, AWS, GCP, etc.); Strong coding skills on one of the followings: Python, R, SAS, Java or Scala; Able to design & implement POC for AI initiatives via OpenSource or vendor solutions; Align with Global AI Strategy / framework and drive AI iniatives for market business growth.
5. Collaborate with leaders to drive usage of analytics services by various business communities; Develop and enhance the capability and expertise of the team by providing the effective coaching and on-job training.
6. Build a culture committed to delivery of outstanding customer service and open, transparent, honest team environment.
Effectively engage in a matrix structure to drive transformation goals for the organization; Excellent written and verbal communication skills in both Chinese & English.