Director, Data & Information Architecture

Pivot Bio

Minnetonka, MN

On-site

Who this role is best for

Geared toward data architecture professionals comfortable with semantic modeling and cross-domain integration, this role suits candidates with deep enterprise data modeling experience and a preference for in-office work in Minnetonka, MN.

Best fit for

Candidates with 10+ years in enterprise data modeling and a background in regulated scientific environments
— “10+ years in Data Architecture, Information Architecture, or Enterprise Data Modeling.”
Individuals who can design durable semantic models and traceability frameworks across multiple domains
— “designing durable semantic models, traceability frameworks, and evidence systems that support product performance analysis, scientific discovery, operational execution, and AI-enabled decision making.”
Candidates experienced in data governance and able to balance rigor with practical execution
— “Demonstrated ability to balance governance rigor with pragmatic execution.”

Things to consider

This role requires in-office presence in Minnetonka, MN despite offering flexible vacation policies
— “Must be authorized to work in the United States.”
The position demands a focus on information architecture, not cloud infrastructure or BI reporting
— “This role is not primarily a cloud infrastructure architect, integration engineer, or BI/reporting architect position.”

How to stand out

Highlight experience with semantic standards and cross-domain integration in your resume and interviews
— “Define semantic standards for observations, results, recommendations, outcomes, and evidence.”
Emphasize your hands-on modeling and SQL validation skills in your application materials
— “Strong SQL skills and ability to validate models directly against data.”
Showcase your ability to create traceable evidence systems for scientific or regulated environments
— “Create traceable, reproducible evidence systems capable of supporting scientific and commercial decision making.”
Demonstrate your experience in designing Lakehouse models for Silver and Gold data layers
— “Design logical and physical Lakehouse models supporting Silver and Gold layers.”
Position yourself as a leader in data governance and enterprise data stewardship
— “Drive data governance practices focused on quality, stewardship, reproducibility, and trust.”

Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

define canonical enterprise data models
establish domain ownership
design logical and physical Lakehouse models
create traceable evidence systems
enable trustworthy AI

Typical background

10+ years in Data Architecturedeep expertise in data modelingexperience in regulated environments

Skills & requirements

Required

Data ModelingInformation ArchitectureData GovernanceSQLDatabricksSnowflakeLakehouse

Preferred

Data VaultMetadata ManagementMDMLineage

Stack & domain

Data ArchitectureInformation ArchitectureEnterprise Data ModelingDatabricks LakehouseSnowflakeSQLLeadershipCollaborationProblem SolvingAgricultureManufacturingCommercialDigital Products

About the role

Original posting from Pivot Bio

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, 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.
Preferred Experience
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.
Experience in regulated, scientific, manufacturing, healthcare, life sciences, or evidence-sensitive environments preferred.
Demonstrated ability to balance governance rigor with pragmatic execution.
What We Are Not Looking For
This role is not primarily a cloud infrastructure architect, integration engineer, or BI/reporting architect position. Success requires deep information architecture capability, including semantic modeling, domain design, lineage, traceability, and enterprise data stewardship.
Must be authorized to work in the United States.
What We Offer:
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
#LI-Onsite
Hiring Compensation Range$165,000—$206,000 USD

Source: Pivot Bio careers