Director, Data & Information Architecture
Core
Define and steward the enterprise information backbone connecting Product Innovation, Agronomy, Manufacturing, Commercial, and Digital products to enable trustworthy, decision-grade data across the enterprise.
Role type
Director, Data & Information Architecture
Builds
Enterprise data models, domain boundaries, data contracts, lineage standards, and governance patterns for product performance analysis, scientific discovery, and AI-enabled decision making.
Domain
Agriculture / Life Sciences / Data Architecture
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Enterprise information architecture strategy, canonical data modeling, domain design, data contracts, lineage and traceability frameworks, semantic modeling, Databricks Lakehouse modeling, SQL analysis, data governance
Preferred skills
Data Vault, metadata management, MDM, experience in regulated scientific or manufacturing environments, balancing governance rigor with pragmatic execution
Technologies
Databricks, Snowflake, Lakehouse platforms
Responsibilities
Own enterprise information architecture strategy and standards, design canonical models and cross-domain integration patterns, define semantic standards for observations and evidence, lead logical and physical data modeling efforts, establish metadata and versioning frameworks, partner with cross-functional teams to translate requirements into data models, review architecture designs and validate implementations, drive data governance practices
Seniority
Director, strategic leadership with hands-on modeling