About the role
As Head of Analytics Taiwan & Hong Kong, you will lead the Networks analytics team and turn network and service-delivery data into actions that improve efficiency, customer outcomes and business performance.
You will connect telecom expertise with AI and automation, set the analytics agenda, strengthen team capability and scale insight-led ways of working across both markets. You report to the Head of Networks Taiwan & Hong Kong and join the Networks leadership team.
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 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; and collaborate with regional and global teams.
- Communicate trade-offs to senior stakeholders and track impact through efficiency, quality, service performance, adoption and customer value.
Key outcomes
- A prioritized roadmap linked to Networks and customer objectives.
- Greater use of trusted data in operational and commercial decisions.
- Increased adoption of AI and automation in high-value processes.
- Consistent performance visibility, a high-performing team and demonstrable customer and business value.
Qualifications and experience
- 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, network performance or telecom customer environments.
- Experience applying AI, machine learning, advanced analytics or automation to operational or customer problems.
- Proven ability to lead established teams, develop talent and influence across organizational boundaries.
- Experience translating strategy into roadmaps and prioritizing use cases by value, feasibility, risk and adoption.
- Strong commercial orientation, data-governance knowledge, responsible-AI awareness and excellent communication skills.
- Professional fluency in English and ability to work with stakeholders in Taiwan and Hong Kong. Local-language capability is an advantage.
Leadership profile
You are a hands-on, outcome-oriented leader who moves between strategy, people leadership, customer conversations and technical decisions. You build trust through clarity and delivery, simplify complexity, make sound decisions with imperfect information, and lead inclusively across cultures and markets. You bring customer focus, business judgment, telecom credibility, operational curiosity and high standards for data quality, ethics and security.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Taiwan (TW) || Taipei
Job details: Service Delivery Line Manager
Job Stage: Job Stage 7
Primary Recruiter: Albert Wang
Hiring Manager: Chihiro Ikeda
Skills Required
- Significant experience leading analytics, data, business intelligence, automation, or transformation teams
- Strong understanding of mobile or fixed networks, service delivery, network performance, or telecom customer environments
- Experience applying AI, machine learning, advanced analytics, or automation to operational or customer problems
- Proven ability to lead established teams, develop talent, and influence across organizational boundaries
- Experience translating strategy into roadmaps and prioritizing use cases by value, feasibility, risk, and adoption
- Strong commercial orientation, data-governance knowledge, responsible-AI awareness, and excellent communication skills
- Professional fluency in English and ability to work with stakeholders in Taiwan and Hong Kong
- Telecom or complex service-delivery experience
- Local-language capability
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — U.S. job postings describe multiple medical plan options (including PPO and HSA‑eligible HDHP) plus dental and vision, aligning with a comprehensive medical suite. Corporate materials also emphasize wellbeing resources and EAP support.
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Retirement Support — Company communications and U.S. materials reference market‑competitive retirement benefits, including a 401(k) with automatic employer contributions and additional matching. Investor and benefits materials signal a structured approach to total rewards that includes long‑term savings programs.
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Parental & Family Support — U.S. and EWS guides and postings highlight paid maternity and parental/adoption leave at full pay, alongside structured short‑term disability at full pay for defined weeks by tenure. These programs are positioned as part of a family‑friendly, work‑life‑balance offering.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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