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Manager Data Analytics Engineer Jobs in Minnesota

Trelleborg

Director of Data Analytics and AI

Plymouth, MN · On-site

$160K - $205K/hr

Define and manage processes for creation and maintenance of master data * Lead digital transformation initiatives including AI, analytics, and data platforms * Identify opportunities for AI-driven ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Working in a highly cross-functional model, you will partner with engineering, architecture, and ...

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Working in a highly cross-functional model, you will partner with engineering, architecture, and ...

Pwc

Data Strategy-Manager

Minneapolis, MN

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Deloitte

Data Product Analyst

Minneapolis, MN · On-site

Experience working in cross-functional products, analytics, engineering, and QA environments ... Ability to manage multiple priorities and stakeholders with minimal supervision. * The wage range ...

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All JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Minnesota

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Minnesota? The most popular types of Data Analytics Engineer jobs in Minnesota are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Minnesota? For Manager Data Analytics Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Minnesota look for? The top searched job categories for Manager Data Analytics Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Manager Data Analytics Engineer jobs? Cities in Minnesota with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Minnesota as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Director of Data Analytics and AI

Director of Data Analytics and AI

Trelleborg

Plymouth, MN • On-site

$160K - $205K/hr

Full-time

Posted 23 days ago

Trelleborg rating

8.3

Company rating: 8.3 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Tasks and Responsibilities

  • Develop and execute enterprise-wide data, digital, and AI strategy
  • Establish and enforce data governance policies, standards, and frameworks
  • Design and implement master data architecture, models, and hierarchies
  • Ensure master data accuracy and consistency across customer, product, vendor, and operational domains
  • Define and manage processes for creation and maintenance of master data
  • Lead digital transformation initiatives including AI, analytics, and data platforms
  • Identify opportunities for AI-driven optimization in operations and decision-making
  • Develop reporting standards, dashboards, and advanced analytics capabilities
  • Monitor emerging technologies and implement innovative digital solutions
  • Establish AI governance including model lifecycle and risk management
  • Lead, develop, and mentor global data and AI teams
  • Collaborate with cross-functional stakeholders to align initiatives with business priorities
  • Manage Data & AI budget and ensure cost efficiency and ROI
  • Conduct data quality reviews, audits, and continuous improvement initiatives

Education and Experience

  • Degree in Computer Science, Data Science, Information Management, or related field
  • 10+ years of relevant experience in data, analytics, or digital leadership roles
  • Proven experience in data governance and master data management
  • Strong experience in enterprise data architecture and analytics platforms
  • Experience leading digital transformation and AI initiatives
  • Experience in global / multi-site environments
  • Knowledge of data privacy regulations (e.g., GDPR, ITAR)
  • Fluent English (spoken and written)

Competencies

  • Strategic thinking and strong business acumen
  • Leadership and team development capability
  • Strong communication and stakeholder management skills
  • Advanced analytical and problem-solving skills
  • Ability to interpret complex data and drive insights
  • Financial and budget management capability
  • Strong execution and results orientation

Key Performance Indicators

  • Data quality and master data accuracy
  • Adoption of governance frameworks
  • ROI of Data & AI initiatives
  • Improvement in reporting efficiency and time-to-insight
  • Adoption of analytics tools
  • Stakeholder satisfaction

Travel required during key transformation phases, domestic and international (estimated <20%)

What Trelleborg employees say

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