Serve as the modelling lead on Advisory and Implementation engagements where ontology depth is the critical risk Run discovery sessions to elicit and structure client domain models Produce target ontologies - entity types, controlled vocabularies, field taxonomies, workflow decompositions - as billable deliverables Review changeset designs for modelling quality alongside implementation engineers Coach client counterparts on stewardship of their own model post go-live. Experience in laboratory informatics, life sciences, or another regulated scientific domain (QC manufacturing, genomics, clinical diagnostics, CGT) Familiarity with LIMS, ELN, or scientific workflow platforms and their data models Experience with versioned schema evolution and immutable/provenance data models Exposure to regulated environments (21 CFR Part 11, GAMP5) and their implications for schema governance Prior consulting or professional services experience with utilization targets.