Role: AI, GenAI & RPA Analyst (MedTech, Healthcare, or Life Sciences)
Duration: Long Term Contract (C2C)
Location: Minneapolis, MN (Onsite)
Role Overview
This is a strategic Business Analyst role focused on scaling hyperautomation and AI-driven transformation within global MedTech operations. The candidate will identify, analyze, and deliver high-impact automation use cases using AI, GenAI, RPA, and Data Analytics, ensuring a structured roadmap, actionable business cases, and measurable ROI.
Must-Have Qualifications
8+ years in business analysis, process improvement, or automation within large organizations.
2-3 years in MedTech, Healthcare, or Life Sciences with experience in AI, Data, and Automation programs.
Proven expertise in use case diagrams, PDDs, BRDs, workshops, ROI analysis, and automation roadmaps.
Hands-on experience across AI, Data, RPA, and GenAI (not just one area).
Key Responsibilities
Use Case Identification & Prioritization – Collaborate with IT, Finance, HR, and MedTech teams to evaluate automation opportunities.
Business Process Analysis – Lead process mining initiatives to identify inefficiencies and automation points.
Automation Strategy & Roadmap – Develop short- and long-term automation roadmaps aligned with business goals.
Stakeholder Engagement – Secure leadership sponsorship through compelling business cases.
Solution Design & Documentation – Define automation requirements and ensure regulatory compliance.
ROI & Impact Analysis – Design ROI simulations and track post-implementation outcomes.
Workshops & POV Development – Organize automation idea sessions and showcase AI/RPA capabilities.
Risk Management – Ensure compliance with MedTech industry regulations (FDA, ISO, GMP).
Key Skills & Expertise
MedTech Industry Knowledge – Strong understanding of regulatory compliance and operations.
Process Automation Frameworks – Expertise in Lean, Six Sigma, Agile, ITIL.
Automation & Analytics Tools – Experience with UiPath, Automation Anywhere, Blue Prism, AI/ML frameworks.
Business Documentation – Proficiency in BRDs, PDDs, ROI models, and functional architecture.
Data-Driven Decision Making – Conduct EDA and ‘What If’ analyses to drive automation insights.
All your information will be kept confidential according to EEO guidelines.
