Pivot Bio

Director,Data&InformationArchitecture

$165–206k Minnetonka, Minnesota, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“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.

Problems you'll solve

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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