Director, Data & Information Architecture

Pivot BioMinnetonka, MN
Onsite

About The Position

Pivot Bio is pioneering game-changing advances in agriculture by harnessing naturally occurring microbes to provide nutrients to crops, helping farmers improve yields while reducing environmental impact. The Director, Data & Information Architecture will 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.

Requirements

  • 10+ years in Data Architecture, Information Architecture, or Enterprise Data Modeling.
  • Deep expertise in conceptual, logical, and physical data modeling.
  • Experience with canonical modeling, Data Vault, metadata management, MDM, and lineage.
  • Hands-on experience with Databricks, Snowflake, or modern Lakehouse platforms.
  • Strong SQL skills and ability to validate models directly against data.
  • Demonstrated ability to balance governance rigor with pragmatic execution.
  • Must be authorized to work in the United States.

Nice To Haves

  • Experience in regulated, scientific, manufacturing, healthcare, life sciences, or evidence-sensitive environments preferred.

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, lineage, versioning, and traceability frameworks.
  • Partner with Product, Engineering, Data Science, Manufacturing, and Commercial teams to translate business requirements into durable data models.
  • Review architecture designs and validate implementations through hands-on modeling, SQL analysis, and proof-of-concept work.
  • Drive data governance practices focused on quality, stewardship, reproducibility, and trust.

Benefits

  • Incentive Bonus Plan
  • Competitive package in a disruptive startup
  • Stock options
  • Health/Dental/Vision insurance with employer-paid premiums
  • Life, Short-Term and Long-Term Disability policies
  • Employee Assistance Program with free referrals and discounts
  • 401(k) plan, 3% Match
  • Commuter benefits
  • Annual Training & Development support
  • Flexible vacation policy with a generous holiday schedule
  • Exciting opportunity to work with a talented and fun team
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