LEAD BUSINESS ANALYST

- 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.

Candidates should have this

- 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.