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Director Data Science Startup Jobs in Minnesota (NOW HIRING)

Pwc

AI & GenAI Data Scientist-Director

Minneapolis, MN · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

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All JobsData Science Startup JobsDirector Data Science Startup JobsDirector Data Science Startup Jobs in Minnesota

Director Data Science Startup information

What is the difference between Director Data Science Startup vs Data Scientist?

AspectDirector Data Science StartupData Scientist
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on data analysis, model development, research
Employer & Industry UsageStartups, tech companies, innovation-driven firmsVaries from startups to large corporations, research labs
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project work, data analysis

The Director Data Science Startup typically holds a leadership position with strategic oversight and team management responsibilities, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on technical data analysis and model development, often with less emphasis on leadership. Both roles are common in startup environments and tech industries, but they differ significantly in scope and responsibilities.

What are the most commonly searched types of Data Science Startup jobs in Minnesota? The most popular types of Data Science Startup jobs in Minnesota are:
What are popular job titles related to Director Data Science Startup jobs in Minnesota? For Director Data Science Startup jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Director Data Science Startup jobs in Minnesota look for? The top searched job categories for Director Data Science Startup jobs in Minnesota are:
What cities in Minnesota are hiring for Director Data Science Startup jobs? Cities in Minnesota with the most Director Data Science Startup job openings:
Director Data Science Startup jobs near you
Infographic showing various Director Data Science Startup job openings in Minnesota as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Director, Data & Information Architecture

PVH (Tommy Hilfiger/Calvin Klein)

Minnetonka, MN • On-site

$165 - $206/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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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