Head of Enterprise Data & Information Architecture

Pivot Bio; Minnetonka (MN); Sur place; USD 165 000 - 206 000; Plein temps

Avantages offerts par ce poste

Health insurance

Stock options

401(k) plan with match

Annual training & development

Résumé du poste

Pivot Bio is seeking a Director of Data & Information Architecture to define and steward the enterprise information backbone across R&D, Agronomy, Manufacturing, Commercial, and Digital products. You will establish canonical models, data contracts, lineage, and governance patterns enabling trusted, decision-grade data and AI-enabled analytics.

Lead cross-domain data modeling within modern Lakehouse environments, drive metadata and traceability, and partner with multiple teams to translate

Qualifications

• 10+ years in Data Architecture, Information Architecture, or Enterprise Data Modeling.
• Deep expertise in conceptual, logical, and physical data modeling.
• Hands-on experience with modern Lakehouse platforms (Databricks, Snowflake).
• Strong SQL skills to validate models against data.

Responsabilités

• Own enterprise information architecture strategy and standards.
• Design canonical models and cross-domain data relationships.
• Define semantic standards for observations, results, and evidence.
• Lead data modeling efforts within Databricks Lakehouse.
• Establish metadata, lineage, versioning, and traceability frameworks.
• Collaborate with Product, Engineering, Data Science, Manufacturing, and Commercial teams.
• Review designs and validate implementations through modeling and SQL analysis.
• Drive data governance focused on quality and reproducibility.

Connaissances

Data Architecture

Information Architecture

Enterprise Data Modeling

Databricks

SQL

Formation

Bachelor's degree in a relevant field

Outils

Databricks

Snowflake

Description du poste

Pivot Bio is seeking a Director of Data & Information Architecture to define and steward the enterprise information backbone across R&D, Agronomy, Manufacturing, Commercial, and Digital products. You will establish canonical models, data contracts, lineage, and governance patterns enabling trusted, decision-grade data and AI-enabled analytics.

Lead cross-domain data modeling within modern Lakehouse environments, drive metadata and traceability, and partner with multiple teams to translate