Job Detail

AVP – Data Science, Business Intelligence & Customer Insights


Job Description

What is the focus of this role?

  • To lead the Data Science and BI team as well as the Customer Analytics & Insights team
  • To build and enhance data science models to drive business objectives
  • To identify opportunities to improve processes and strategies with technology solutions for Data

Science and BI

  • To provide data analytics and customer insight support to drive engagement and customer lifetime value.
  • The role works closely with the Campaign Strategy & Rewards teams as a function of the

Customer Lifecycle Management division.

Responsibilities include:


  • Conduct monthly deep dives on consumer segment performance (Sub-base, ARPU, Revenue and 
  • margins) with a second level insights on product performance by consumer segments. 
  • Define, measure, and communicate key performance indicators for consumer segments.
  • Perform complex analysis and modeling for CLM and GTM activities, with the goal of maximizing revenue, market share and minimizing risk. 
  •  Assist in segment GTM strategy by identifying key drivers for business case/sponsorship and post mortem evaluation, effectiveness of campaigns
  • Provide actionable recommendations for opportunities that support business objectives 
  • identified through ongoing program and customer measurement.
  • Manage our research agencies to drive value through qualitative analysis

Data Science

  • Use advanced analytics techniques and models to drive business decisions and impact
  • Proactively look for new innovative ways to better understand our customers needs and behaviours to drive actionable insights
  • Regularly measure existing model performance to improve churn, upsell and cross sell KPI’s
  • Continuously look at how we can enrich our data to create new segments and potential target groups 
  • Data & Business Intelligence
  • Provide data and regular reports to the business teams to enhance current strategy for churn, retention, cross and up sell to meet business objectives.
  • Manage and continuously improve the performance dashboards and look for opportunities to improve efficiency across the business through new interactive deep dive dashboards
  • Oversee the deployment of data to the data warehouse and continuously update and enhance it  to keep up with changing business needs.
  • Forecasting & Budgeting:
  • Facilitate monthly forecast working session among Consumer Marketing teams prior to department interlock
  • Align team leaders with respective key drivers with planned marketing activities to meet forecast KPI
  • Responsible to submit Consumer forecast and explain trends driven by segment initiatives


  • Promote consumer segment interests. Support the development of customer-centric marketing and analyses.
  • Developing relevant, distinctive and innovative marketing strategies to drive sales and retention among targeted segments
  • Improve overall Consumer margin with marketing activities planned according to customer segment margin mix 
  • Develop new and non-traditional marketing channels to leverage relevant touch points to build segment community, shaping perceptions and encourage purchase behavior
  • Optimize retention email, direct mail, and site merchandising performance, including measurement, campaign testing, prioritizing concepts, and developing and testing new longterm contact strategies and customer treatments.
  • Cross functional collaborations with Product and Finance on market needs for new creation,

Digital, Sales and Customer Care team in driving compelling GTM plans. Team Leadership

  • Manages up to 8 direct reports across data science, data engineering, data visualization and customer analytics
  • Core responsibility to coach, retain and grow the team’s capability and skillsets with an emphasis on empowering the team
  • Create an environment of continuous business improvement and a culture of innovation
  • Form part of the CLM leadership team and add value across Data Science, Customer Insights, 

Campaign Strategy and Digital Rewards

  • Manage and continuously evaluate the existing BI and Data Science/Analytics tools for optimal performance

Job Requirement

Essential skills and experience:

  • Degree in Statistics, Mathematics, Economics Engineering or similar field
  • Minimum of 12 years of data science and analytical work experience in a related role, ideally 3+ in the telco industry
  • Prior experience using Python, R, SAS, SQL, Data Robot or similar tools
  • Experience utilising Visualisation tools – Tableau, PowerBI or similar tools
  • Strong Microsoft Excel & PowerPoint skills

Required characteristics:

  • Quantitative and comfortable working with large amounts of data
  • A self-starter with analytical curiosity and strong business acumen
  • Team player who can work in a cross-functional environment
  • Strong leader who can guide and mentor at the operational and strategic level
  • Good verbal and written communication skills with the ability to present to a senior audience
  • Energetic and self-motivated – must be extremely organised and detail orientated 
  • Strong data science and analytical skills with an eye for an insight and the ability to make data  driven recommendations

Why would you take the role?

  •  Looking for a data science team lead role within a fast-paced and innovative organisation
  • Love data and deep dive exploratory analysis
  • Have a passion for marketing & customer analytics
  • Enjoy working with statistical software
  • Want to focus on the technical side of analytics
  • Enjoy interacting with stakeholders across the business
  • Take satisfaction from seeing your recommendations driving success


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