Senior Business Analyst

Merck Merck · Pharma · Taipei, Taiwan

Senior Business Analyst for Automation, Analytics & AI (AA & AI) at Merck, focusing on improving clinical trial operations efficiency, quality, and compliance at the country level. The role involves identifying, designing, and delivering technology-enabled solutions including automation, analytics, and AI initiatives. Responsibilities include developing business cases, overseeing the development of country tools, scaling solutions, and ensuring compliance with regulations. The role requires experience in designing and delivering automation/analytics/AI-enabled solutions and coordinating cross-functional stakeholders.

What you'd actually do

  1. Partner with the CRD, country leadership team, and the AA & AI Lead to surface priority pain points and high-value opportunities for automation, analytics, and AI.
  2. Lead development of business cases including problem definition, options analysis, solution scope, resource/cost estimates, benefits/KPIs, risks, and compliance considerations.
  3. Lead and drive the end-to-end delivery of country-level tools and solutions (e.g., dashboards, workflow automation, Robotic Process Automation (RPA), AI-assisted processes) using appropriate platforms and methods.
  4. Develop or oversee development of analytics and visualization (e.g., operational dashboards, performance metrics) to drive data-informed decision-making.
  5. Ensure solutions comply with ICH GCP, Company policies, and local regulations; partner with Compliance/Legal as needed.

Skills

Required

  • Bachelor’s degree in a life science discipline, business analytics, computing science, engineering, or related field.
  • 5 years of relevant experience in data/analytics, process improvement, or technology-enabled transformation within life sciences/healthcare or a comparable regulated environment
  • Business process modeling and requirements techniques: e.g., process mapping, user stories, acceptance criteria, functional specifications
  • End-to-end product and solution ownership mindset: with accountability for value delivery across the full solution lifecycle (ideation, MVP, rollout, scaling, maintenance, and retirement).
  • Data literacy and analytics: ability to translate business questions into metrics; hands-on with BI tools (e.g., Power BI/Tableau) and data querying basics (SQL or equivalent).
  • Automation/AI awareness: practical experience with workflow automation/RPA platforms; exposure to AI/ML use cases and constraints in clinical operations.
  • Program/project management: planning, prioritization, risk/issue management, and delivery at pace; comfortable with Agile/Lean practices.
  • Communication & influence: excellent English communication; ability to influence across functions and present technical topics to non-technical audiences.
  • Change enablement: stakeholder engagement, training, and adoption support.
  • Problem-solving & critical thinking: structured analysis, hypothesis-driven approach, and pragmatic delivery mindset.

Nice to have

  • Experience working across multiple countries or in regional programs.
  • Exposure to integrations with IT/data science teams and vendor coordination.
  • Familiarity with clinical trial processes and operational metrics.
  • Compliance/regulatory: understanding of ICH GCP and applicable quality and data protection requirements.

What the JD emphasized

  • Successfully designing and delivering automation/analytics/AI-enabled solutions (e.g., dashboards, RPA/workflow automation, AI/ML pilots) that produced measurable improvements.
  • Experience coordinating cross-functional stakeholders, with hands-on project management in a matrix environment.
  • AI/ML pilots
  • AI/ML use cases and constraints

Other signals

  • AI-assisted processes
  • AI/ML pilots
  • AI/ML use cases and constraints