Here’s What You’ll Need (Basic Qualifications)
· Bachelor’s or Master’s degree in Engineering, Computer Science, Life Sciences, Data Science, or a related field
· 4+ years of experience in pharmaceutical, biotech, or other regulated industries, with exposure to CMC domains
· 6+ years of experience defining and delivering data, analytics, reporting, or digital solutions used in production workflows
· Familiarity with modern data concepts including data modeling, data quality, and cloud-based data platforms
· Strong understanding of pharmaceutical systems and relevant data domains (e.g., Veeva, SAP, MES, LIMS)
· Proven ability to translate business needs into clear, structured requirements that engineering teams can build from without extended clarification cycles
· Demonstrated ability to produce written specifications, use case definitions, or data product briefs that serve as the primary handoff to builders
· Experience working across business and technical stakeholders, with the ability to drive alignment and communicate tradeoffs
· Experience with data governance principles including data ownership, classification, access control, and quality standards as applied to enterprise data products
· Understanding of GxP, data integrity, and compliance considerations for data, analytics, and AI solutions