Pivot Bio
Director,Data&InformationArchitecture
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“Director, Data & Information Architecture at Pivot Bio. Skills: Information Architecture, Data Architecture, Data modeling, Data governance. Own enterprise information architecture strategy. Own enterprise information architecture standards”
What You'll Achieve.
Enable trustworthy AI; Enable analytics through semantic foundations
Industry & Context.
Decision making
What They're Looking For.
Must Have
10+ years Data Architecture, 10+ years Information Architecture, 10+ years Enterprise Data Modeling, Deep expertise conceptual data modeling, Deep expertise logical data modeling, Deep expertise physical data modeling, Hands-on experience Databricks, Hands-on experience Snowflake, Hands-on experience modern Lakehouse platforms, SQL skills, Ability to validate models directly against data, Authorized to work in the United States
Nice to Have
Experience canonical modeling, Experience Data Vault, Experience metadata management, Experience MDM, Experience lineage, Experience in regulated environments, Experience in scientific environments, Experience in manufacturing environments, Experience in healthcare environments, Experience in life sciences environments, Experience in evidence-sensitive environments, Balance governance rigor with pragmatic execution
What You'll Do.
Own enterprise information architecture strategy
Own enterprise information architecture standards
Design canonical models
Design master data relationships
Design cross-domain integration patterns
Define semantic standards for observations
Define semantic standards for results
Define semantic standards for recommendations
Define semantic standards for outcomes
Define semantic standards for evidence
Lead logical data modeling efforts
Lead physical data modeling efforts
Establish metadata frameworks
Establish lineage frameworks
Establish versioning frameworks
Establish traceability frameworks
Partner with Product teams
Partner with Engineering teams
Partner with Data Science teams
Partner with Manufacturing teams
Partner with Commercial teams
Translate business requirements into data models
Review architecture designs
Validate implementations through hands-on modeling
Validate implementations through SQL analysis
Validate implementations through proof-of-concept work
Drive data governance practices
Focus on reproducibility
How You'll Work.
Team & Collaboration
Partner with Product teams; Partner with Engineering teams; Partner with Data Science teams; Partner with Manufacturing teams; Partner with Commercial teams
Full Job Description
About 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 Own enterprise information architecture strategy and standards. Design canonical models, master data relationships, and cross-domain integration patterns. Define semantic standards for observations, results, recommendations, outcomes, and evidence. Lead logical and physical data modeling efforts within Databricks Lakehouse. Establish metadata, linea
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