Director, Data & Information Architecture

<p><strong>About Pivot Bio</strong></p> <p>Fueled by an innovative drive and a deep understanding of the soil microbiome, Pivot Bio is pioneering game-changing advances in agriculture. Our products harness naturally occurring microbes to provide nutrients to crops, helping farmers improve yields while reducing environmental impact.</p> <p>Pivot Bio is seeking a Director, Data &amp; Information Architecture to define and steward the enterprise information backbone connecting Product Innovation, Agronomy, Manufacturing, Commercial, and Digital products. This role is responsible for establishing canonical data models, domain boundaries, data contracts, lineage standards, and governance patterns that enable trustworthy, decision-grade data across the enterprise. Unlike traditional platform-focused data architecture roles, this position is centered on information architecture: designing durable semantic models, traceability frameworks, and evidence systems that support product performance analysis, scientific discovery, operational execution, and AI-enabled decision making.</p> <p>&nbsp;</p> <p><strong>What Success Looks Like</strong></p> <ul> <li>Define canonical enterprise data models spanning R&amp;D, Agronomy, Manufacturing, Commercial, and Digital domains.</li> <li>Establish domain ownership, data contracts, lineage, and reconciliation standards.</li> <li>Design logical and physical Lakehouse models supporting Silver and Gold layers.</li> <li>Create traceable, reproducible evidence systems capable of supporting scientific and commercial decision making.</li> <li>Provide a phased architecture roadmap for modernization and migration of existing data assets.</li> <li>Enable trustworthy AI and analytics through strong semantic foundations.</li> </ul> <p>&nbsp;</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Own enterprise information architecture strategy and standards.</li> <li>Design canonical models, master data relationships, and cross-domain integration patterns.</li> <li>Define semantic standards for observations, results, recommendations, outcomes, and evidence.</li> <li>Lead logical and physical data modeling efforts within Databricks Lakehouse.</li> <li>Establish metadata, lineage, versioning, and traceability frameworks.</li> <li>Partner with Product, Engineering, Data Science, Manufacturing, and Commercial teams to translate business requirements into durable data models.</li> <li>Review architecture designs and validate implementations through hands-on modeling, SQL analysis, and proof-of-concept work.</li> <li>Drive data governance practices focused on quality, stewardship, reproducibility, and trust.</li> </