Senior Business Analyst – Automation, Analytics & AI (sr. Ba – Aa & Ai)

Merck Merck · Pharma · NJ

The Senior Business Analyst - Automation, Analytics & AI role at Merck focuses on identifying, designing, and delivering technology-enabled solutions to improve clinical trial operations. This involves leading the intake and assessment of local automation, analytics, and AI initiatives, creating business cases, overseeing the development of country-specific tools, and scaling successful solutions. The role requires ensuring adherence to regulations, driving measurable impact through KPIs, and managing the full solution lifecycle from ideation to retirement. While the role involves AI/ML pilots and awareness of AI/ML use cases, its primary focus is on delivering operational improvements and tools rather than core AI research or model development.

What you'd actually do

  1. Lead development of business cases including problem definition, options analysis, solution scope, resource/cost estimates, benefits/KPIs, risks, and compliance considerations.
  2. 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.
  3. Develop or oversee development of analytics and visualization (e.g., operational dashboards, performance metrics) to drive data-informed decision-making.
  4. Ensure solutions comply with ICH GCP, Company policies, and local regulations; partner with Compliance/Legal as needed.
  5. Serve as the primary country liaison with the RAAI Lead, Automation/Analytics/AI partners, and when required, IT and external vendors for integration and support.

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.
  • 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: un

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.
  • AI/ML pilots
  • AI/ML use cases and constraints

Other signals

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