Head of Analytics Taiwan and Hong Kong

About the role

As Head of Analytics for Taiwan and Hong Kong, you will lead the Networks analytics team, turning network and service‑delivery data into actionable insights that improve efficiency, customer outcomes and business performance. Reporting to the Head of Networks Taiwan & Hong Kong, you will set the analytics agenda, embed AI and automation, and scale insight‑driven ways of working across both markets.

Key responsibilities

• Define the analytics strategy in line with Networks priorities, customer needs and Ericsson’s transformation agenda.
• Lead, coach and develop analytics, data and automation professionals, fostering accountability, collaboration and innovation.
• Turn complex data into recommendations, executive insights and measurable actions.
• Drive practical adoption of AI, advanced analytics, automation and reusable data products across network and service‑delivery processes.
• Establish governance for data quality, security, model risk, responsible AI and the analytical‑solution lifecycle.
• Partner with customers and internal stakeholders to improve network performance, resilience, customer experience and value realization.
• Prioritize scalable, explainable use cases; create common metrics and performance routines; collaborate with regional and global teams.
• Communicate trade‑offs to senior stakeholders and track impact through efficiency, quality, service performance, adoption and customer value.

Required profile

• Significant experience leading analytics, data, business intelligence, automation or transformation teams, preferably in telecom or complex service delivery.
• Strong understanding of mobile and/or fixed networks, service delivery and network performance.
• Proven ability to lead established teams, develop talent and influence across organizational boundaries.
• Experience translating strategy into roadmaps and prioritising use cases by value, feasibility, risk and adoption.
• Strong commercial orientation, data‑governance knowledge and responsible‑AI awareness.
• Professional fluency in English and ability to work with stakeholders in Taiwan and Hong Kong; local‑language capability is an advantage.

Required skills

• AI
• Machine learning
• Advanced analytics
• Automation
• Data governance
• Responsible AI
• Data quality and security management
• Model risk management