ZipRecruiter

Log In

1

Director Data Jobs in Minnesota (NOW HIRING)

Old National Bank

Data Enablement Director

Lake Elmo, MN · On-site

$258K/yr

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 ...

IWCO Direct

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

Lead the migration of IWCO Direct's analytics platform from SQL Server-based data warehouse and SSRS/Qlik reporting to Microsoft Fabric, including lakehouse design, data pipelines, and Power BI ...

next page

Showing results 1-20

All JobsData JobsDirector Data JobsDirector Data Jobs in Minnesota

Director Data information

See Minnesota salary details

$50.9K

$125.9K

$195.9K

How much do director data jobs pay per year?

As of Jul 30, 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 does a Director of Data do?

A Director of Data oversees an organization's data strategy, ensuring the effective collection, management, and use of data across departments. They lead data teams, set data governance policies, and work to align data initiatives with business goals. Their role includes managing data architecture, ensuring data quality and security, and supporting data-driven decision making. Directors of Data often collaborate with executives and IT teams to drive innovation and improve business outcomes through analytics and data insights.

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.

How does a Director of Data typically collaborate with other departments to drive business objectives?

A Director of Data regularly partners with teams such as marketing, product, finance, and operations to ensure data-driven decision-making across the organization. They help translate business goals into data initiatives, oversee the collection and analysis of relevant data, and present actionable insights to stakeholders. Strong cross-functional collaboration is essential, as the Director often leads data governance initiatives and aligns data strategy with company-wide objectives. This role requires both technical expertise and effective communication skills to bridge gaps between technical teams and non-technical departments.

What are the key skills and qualifications needed to thrive as a Director of Data, and why are they important?

To thrive as a Director of Data, you need deep expertise in data management, analytics, and strategy, supported by an advanced degree in a quantitative field and substantial leadership experience. Proficiency with data platforms (such as SQL, Hadoop, and cloud services), data governance frameworks, and often certifications like CDMP or cloud certifications is expected. Exceptional communication, strategic thinking, and team leadership skills distinguish top performers in this role. These skills ensure effective data-driven decision-making, alignment with business goals, and successful leadership of cross-functional data teams.
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 job categories do people searching Director Data jobs in Minnesota look for? The top searched job categories for Director Data jobs in Minnesota are:
What cities in Minnesota are hiring for Director Data jobs? Cities in Minnesota with the most Director Data job openings:
Director Data jobs near you
Infographic showing various Director Data job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $125,880 per year, or $60.5 per hour.

Director, Data & Information Architecture

Pivot Bio

Minnetonka, MN • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

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

Apply