Senior Business Analyst – Automation, Analytics & AI

Merck Merck · Pharma · Central District of Israel, Israel

Senior Business Analyst for Automation, Analytics & AI at Merck, focusing on improving clinical trial operations efficiency, quality, and compliance. The role involves identifying opportunities, developing business cases, leading the delivery of technology solutions (including AI-assisted processes), and ensuring compliance with regulations. The position emphasizes end-to-end solution ownership and collaboration with various 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

  • 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.

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
  • compliance with ICH GCP, Company policies, and local regulations

Other signals

  • identify, design, and deliver technology-enabled solutions that improve clinical trial operations efficiency, quality, and compliance
  • Lead development of business cases including problem definition, options analysis, solution scope, resource/cost estimates, benefits/KPIs, risks, and compliance considerations
  • 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
  • Develop or oversee development of analytics and visualization (e.g., operational dashboards, performance metrics) to drive data-informed decision-making
  • Ensure solutions comply with ICH GCP, Company policies, and local regulations