Responsibilities as lead for data:
Role: Head data science, data analytics, machine learning, and big data projects, and align these projects with organizational goals
- Define strategy and platform for data collection, management and governance working in partnership across departments
- Contribute thought-leadership to data, analytic technology, and operational processes
- Conceive, plan, and prioritize data projects
- Data Leadership: Lead the team to proactively identify and define high impact problems and opportunities. Create innovative solutions to these problems via in depth analysis of the data. Build, coach, and mentor data analytics group
- Partnership: Primary partner for cross-functional stakeholders (Product, Tech, Marketing, Finance, Distribution, Programming, Content, Affiliate Partners, etc.) and geographies (SG, HK, MY, ID, PH, TH, TW, VN) to improve analytical capabilities around data modelling, visualization, and architecture
- Metrics and Accountability: Direct the team to design and develop statistical/machine learning models, around key performance metrics, that explain user acquisition, retention, and engagement on our digital platforms, various partner initiatives and devices
- Translate analytic insights into concrete, actionable recommendations for business or product improvement, and communicate these findings to the business stakeholders
- Ensure data quality and integrity Create and enforce policies for effective data management
- Formulate management techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data
- Ensure digital databases and archives are protected from security breaches and data losses
