Business Analyst

Business Analyst, AI Enablement with Recent Pharma DomainLocation: Remote (EST/CST candidates only)Client: Pharma domainVisa: USC, GC, EADsPay rate: $60/hrExp level: 13+ yearsMust have:Working knowledge of pharma functions (clinical operations, regulatory, CMC/manufacturing, pharmacovigilance, medical affairs, commercial).Familiarity with GxP, data integrity (ALCOA+), 21 CFR Part 11, and AI governance/risk frameworks.Hands-on experience with LLM-based tools, prompt design, or low-code automation platforms.Job DescriptionWhat You'll Do:Partner with department leads to map current workflows, identify pain points, and pinpoint where AI (LLMs, automation, predictive models, document intelligence) can deliver real value.Prioritize ruthlessly. Score opportunities by impact, feasibility, cost, and risk. Build a roadmap that sequences quick wins ahead of long-horizon bets.Translate between worlds. Turn business needs into clear requirements for technical teams and vendors; turn technical capabilities into plain-language options for stakeholders.Prototype and pilot. Stand up lightweight proofs-of-concept (often with off-the-shelf AI tools) to validate value before larger investment.Measure outcomes. Define success metrics, baseline current state, and quantify the impact of deployed solutions.De-risk adoption. Work with IT, Quality, and Legal/Compliance to ensure use cases meet data-privacy, GxP, validation, and regulatory expectations appropriate to a clinical-stage pharma environment.Drive change. Document new workflows, train end users, and support adoption so solutions actually stick.What You Bring:7+ years in business analysis, process improvement, or management consulting — ideally in pharma, biotech, life sciences, or another regulated industry.Demonstrated experience identifying and delivering AI/automation use cases (generative AI, ML, RPA, or analytics) in a business setting.Strong process-mapping and requirements-gathering skills; fluency with tools like Visio/Lucidchart, Jira, and BI platforms.Ability to communicate clearly with both non-technical executives and technical/data teams.Comfort working independently across multiple departments with ambiguous, evolving problems.A pragmatic bias toward measurable outcomes over technology for its own sake.