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Director, Data & Information Architecture
Pivot Bio · Minnetonka, MN · Posted 21 days ago
"Define the canonical enterprise data models and semantic foundations that connect R&D, Agronomy, Manufacturing, and Commercial data at Pivot Bio."
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.
Pivot Bio is seeking a Director, Data & 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.
What Success Looks Like
- Define canonical enterprise data models spanning R&D, Agronomy, Manufacturing, Commercial, and Digital domains.
- Establish domain ownership, data contracts, lineage, and reconciliation standards.
- Design logical and physical Lakehouse models supporting Silver and Gold layers.
- Create traceable, reproducible evidence systems capable of supporting scientific and commercial decision making.
- Provide a phased architecture roadmap for modernization and migration of existing data assets.
- Enable trustworthy AI and analytics through strong semantic foundations.
Key Responsibilities
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This posting is sourced from Pivot Bio's own career site — applying takes you there directly.
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There are 8 open roles at Pivot Bio right now. This role centers on Data Architecture, Enterprise Data Modeling, Databricks, and SQL.
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