Data Business Partner Manager

Prudential's purpose is to help people get the most out of life. We will deliver our purpose by creating a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow and Succeed.

This role will provide critical support to Head of Data Analytics & Insight in fulfilling the mission of turning PVA into a data led

organization via:

- Lead and drive analytics portfolio for the assigned function(s)
- Contribute to the implementation of data analytics strategy at corporate level
- Build up analytics capability for PVA

Responsibility

I. Lead and drive analytics portfolio for the assigned function(s) via the below (including but not limited to):
1. Interact on a frequent basis with business stakeholders from assigned functions to:
a. Clearly understand and keep up to date the function specific goals, challenges & opportunities, key focuses and how they

align to the strategic objectives of the organization

b. Build, propose and lead the implementation of analytics plan for the whole year

c. Receive problem statements from business stakeholders, manage & propose analytical approach to solve. At the same time,

proactively challenge the status quo & consult business stakeholders with data analytics/ data science solutions

2. Manage and be responsible for the final delivery of all analytics works from delivery team (dashboard team & data science

team) via:
a. Closely work with, provide guidance and support to delivery team to ensure excellent execution (timing & quality)

b. Communicating findings and recommendations and collaborate with other business functions in rolling out action plans

II. Contribute to the implementation of data analytics strategy at corporate level:
1. Taking part in the process of brainstorming and defining data analytics & insights strategy

2. Proactively identifying & utilizing new/ under-leveraged/ external sources of data for integration purpose to provide full

picture understanding

3. Taking part in data centralization project(s) which aims to reduce unnecessary efforts in data cleaning, validation and

reconciliation

4. Taking part in process/report rationalization and/or automation wherever possible across the organization 5. Leading/ Co-leading: a. External engagements for know-how transfer/ best practice sharing/ technical trainings: Artificial Intelligence Centre of Excellence (AI CoE), Analytics Experts from different LBUs, PVA’s strategic partners, etc. b. Internal engagements for PVA’s skillset improvement and mindset transformation via: Data Analytics and Insights Community of Practice (CoP) and other internal communities 6. Coach and train junior team members (via hosting classroom training and providing on-the-job coach)

Accountability
- Successfully deliver data analytics projects using advanced techniques/ modelling (e.g: Cross-sell Improvement, Customer

Churn Management, etc.)
- Play a significant part in discovering/ leveraging new/ under-leveraged/ external sources of data, centralizing database,

aligning data processing rules, simplifying process/reporting system
- Coach and develop data analytics talents for the organization

**Qualifications**:
- Degree in Business, Mathematics, Statistics, Engineering, Computer Science or other Quantitative discipline- Min 3 years of solid experience in business intelligence/ business analytics- Ability to interpret data and translate them into actionable insights, not just data extraction and reporting- Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques/ recommendation and optimization algorithms is required- Skilled in SQL and Excel- SAS knowledge is a big plus- Familiarity with one of the programming language R/Python is a plus- Critical thinking- Curiosity mindset & Can-do attitude- Good communication skills

**Requirements**:
Experience/ Kinh nghiệm
- Min 3-4 years of hands-on experience in statistical modelling/ machine learning

Knowledge and skill / Kiến thức và kỹ năng
- Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques/ recommendation and optimization algorithms is required
- Ability to interpret data and translate them into actionable insights, communicate them to mass audience

Job Accountability / Trách nhiệm chính
- Successfully deliver data analytics projects using advanced techniques/ modelling (e.g: Cross-sell Improvement, Customer Churn Management, etc.)
- Play a significant part in discovering/ leveraging new/ under-leveraged/ external sources of data, centralizing database, aligning data processing rules, simplifying process/reporting system
- Coach and develop data