Giám Đốc Liên Kết, Dữ Liệu và Kỹ Thuật Số

PURPOSE:

Responsible for setting country enterprise-wide data management and analytics strategy, roadmap, process and governance to achieve Data Driven Decision Organization.

Responsible for deploying new digital technologies & platforms to support

KEY RESPONSIBILITIES:

• Align digital platforms with Group Digital team & build new digital platforms.

• Set up and operationalize the data lake and business/customer intelligence platform including tools, standards, procedures etc. for effective collection, management and analysis of data across the organization.

• Build AI and ML capability to leverage and turn data into meaningful business insights and distil implications for effective business decisions by senior management and related stakeholders.

• Create and manage business intelligence tools, systems, methods etc.

• Create standardized key business reports and dashboards for review by management and other related stakeholders.

• Collect and analyze business intelligence data (industry, customer, competitors etc.) business decisions for corporate strategy development decisions.

• Produce regular/ad-hoc distribution/customer insight reports with recommendations/ findings for business decisions.

• Develop and implement predictive modelling to strengthen distribution productivity/efficiency and maximize sales from existing customers.

KEY PERFORMANCE INDICATORS

KPIs to measure the success or achievement of this role

• Apply new digital platforms and initiatives.

• Country Data strategy/framework set-up

• Country Data Lake and BI Platform

• Regular business intelligence reports produced (such as business, distribution intelligence reports).

• AI and Data Science Strategy and Roadmap set up and as per agreed with group key stakeholders, target is clear and tangible.

• Customer insights for new opportunity identification and personalized offering

• Agreed targeta by using machine learning and AI.

• Define and execute data science talent strategy, provide individual and team leadership to data scientists to ensure they are growing their capabilities and achieving their career goals

• Team hiring and build up

• Work with group to build data lake and data governance.