
中层管理(经理/总监)
AI 估算 · 25k–40k
BI经理级别,制药行业,台北市场薪资水平,结合职位要求AI/ML技能,薪资有竞争力。
This role involves leading business intelligence initiatives at Novo Nordisk Taiwan, focusing on developing BI strategies, analyzing data to provide actionable insights, and driving AI/ML adoption. You will collaborate with stakeholders to align analytical solutions with business goals and manage cross-functional teams.
Bachelor's degree in Data Science, Statistics, Computer Science, or related field required. Advanced degree preferred. Minimum 5 years of experience in data analysis, business intelligence, or related roles, preferably in FMCG or Pharma industry. Proficiency in statistical programming languages, data/scripting programming languages, and business intelligence software. Proven expertise in utilising AI and machine learning techniques to derive actionable insights. Demonstrated experience in stakeholder engagement, data storytelling, and visualisation. Experience in managing cross-functional teams and driving data-driven decision-making. Proficient in both written & spoken English and Chinese.
Develop and implement BI strategies and data-driven mindset - Design and implement BI tools and dashboards to support data-driven decision-making - Define and implement KPIs and reporting standards to measure business success - Drive data-driven mindset in the organization
Advanced degree preferred. Preferably in FMCG or Pharma industry.
优点
缺点 / 挑战
暂无明显挑战项
Global pharma BI manager role with high social impact, solid career growth in AI/ML, but limited WLB signals.
Compensation is not disclosed, but as a large multinational, it is expected to be competitive. Benefits are not listed in the JD.
The role offers strong growth in BI and AI/ML, with leadership exposure and cross-functional collaboration. However, no explicit training or promotion paths are mentioned.
Work mode is likely on-site, and no WLB signals are provided. Office location is assumed to be in Taipei city center, but flexibility is unclear.
Novo Nordisk's mission to defeat chronic diseases offers strong social impact. The role contributes to data-driven healthcare decisions, aligning with meaningful work.