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Director Data Jobs in Minnesota (NOW HIRING)

The Data Enablement Director is a strategic, consumer-facing leadership role within Old National Bank's Data Technology organization. Reporting directly to the Chief Data Technology Officer (CDTO ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Data Enablement Director Job Locations US-MN-Lake Elmo | US-IL-Chicago | US-IN-Evansville Category/Function Information Technology Position Type Regular Full-Time Requisition ID 2026-20266 Workplace ...

Data Enablement Director

Lake Elmo, MN · On-site

$127.90 - $258.60/hr

The Director, Data Enablement bridges the gap between data producers and consumers, ensuring that ONB's investment in modern data infrastructure (Databricks, Unity Catalog, and the medallion ...

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Director Data information

See Minnesota salary details

$50.9K

$125.9K

$195.9K

How much do director data jobs pay per year?

As of Aug 9, 2026, the average yearly pay for director data in Minnesota is $125,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $160,100.00 per year, depending on experience, location, and employer.

What is the difference between Director Data vs Data Analyst?

AspectDirector DataData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Computer Science, or related field; often leadership experienceBachelor's degree in related field; certifications like Microsoft Data Analyst or Tableau often preferred
Work EnvironmentStrategic leadership, overseeing data teams, and setting data policiesData collection, analysis, reporting, and visualization tasks
Employer & Industry UsageUsed in large corporations, tech firms, and data-driven organizationsCommon across various industries including finance, marketing, and healthcare

The main difference between a Director Data and a Data Analyst lies in their scope and responsibilities. The Director Data focuses on strategic leadership, managing data teams, and setting organizational data policies. In contrast, the Data Analyst handles data collection, analysis, and reporting to support business decisions. Both roles require strong analytical skills, but the Director Data typically has more experience and a broader leadership role.

What are the most commonly searched types of Data jobs in Minnesota? The most popular types of Data jobs in Minnesota are:
What are popular job titles related to Director Data jobs in Minnesota? For Director Data jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Director Data jobs? Cities in Minnesota with the most Director Data job openings:
Infographic showing various Director Data job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,880 per year, or $60.5 per hour.

Director, Data & Information Architecture

PVH (Tommy Hilfiger/Calvin Klein)

Minnetonka, MN • On-site

$165 - $206/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


PVH Corp. rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


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, 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

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What PVH Corp. employees say

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