1

Environmental Data Management Jobs in Minnesota (NOW HIRING)

Master Data Manager

Oakdale, MN · On-site

$80 - $110/hr

This role leads master data management across the enterprise and is responsible for both governance ... Broad understanding of business processes, preferably from a global B2B environment. * Functional ...

In this role, the Environmental Engineer is responsible for ensuring environmental compliance ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

Segment Data Officer - 3

Minneapolis, MN · On-site +1

$125K - $255K/yr

Bachelor's Degree * 10 + years of work experience in a data environment, with 3+ years of hands-on experience designing and implementing data management and governance frameworks Preferred ...

Test Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

Test Data Management * Test Data Strategy * Data Provisioning * Data Masking * Synthetic Data * Environment Refresh * Functional Testing * Regression Testing * Integration Testing * Performance ...

... environments (e.g., HIPAA, FERPA, state-specific data protections). About Beacon Systems, Inc Beacon Systems, Inc, delivers Program Management, Science, Engineering, and Technology Solutions to ...

Data Business Analyst

Minneapolis, MN · On-site

$65K - $75K/yr

This position offers a flexible work environment and is available for an immediate start. Key Responsibilities: * Lead cross-functional projects involving Data Management, IT, and business teams ...

Data Business Analyst

Minneapolis, MN · On-site

$65K - $75K/yr

This position offers a flexible work environment and is available for an immediate start. Key Responsibilities: * Lead cross-functional projects involving Data Management, IT, and business teams ...

Data Business Analyst

Minneapolis, MN · On-site

$65K - $75K/yr

This position offers a flexible work environment and is available for an immediate start. Key Responsibilities: * Lead cross-functional projects involving Data Management, IT, and business teams ...

The Manager, Clinical Data Review will exercise judgment in planning, organizing and performing ... Environmental Management Systems (EMS), and other regulatory requirements. Complies with U.S. Food ...

Showing results 21-40

Environmental Data Management information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do environmental data management jobs pay per year?

As of Sep 7, 2026, the average yearly pay for environmental data management in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

What is an environmental data management?

An Environmental Data Management job involves collecting, organizing, analyzing, and maintaining environmental data related to air quality, water resources, sustainability, and regulatory compliance. Professionals in this field use software tools and databases to ensure data accuracy and accessibility for decision-making. They work with environmental scientists, engineers, and regulatory agencies to support environmental policies and sustainability efforts. Strong analytical skills, knowledge of data management systems, and understanding of environmental regulations are essential for this role.

What are the typical daily responsibilities of an environmental data management professional?

Professionals in Environmental Data Management typically gather, organize, and analyze large datasets from environmental monitoring activities, such as air and water quality assessments. Daily tasks may include managing databases, preparing regulatory compliance reports, updating GIS maps, and developing data visualizations for internal or public use. Collaboration is common with scientists, engineers, and regulatory agencies, requiring regular meetings and clear communication of findings. This role also often involves troubleshooting data inconsistencies and ensuring data integrity, making attention to detail especially important.

What are the key skills and qualifications needed to thrive in environmental data management?

To thrive in Environmental Data Management, you need a solid background in environmental science, data analysis, and database management, often supported by a related degree. Proficiency with GIS software, data visualization tools, remote sensing technologies, and knowledge of regulatory reporting systems are typically required, with certifications such as GISP or relevant data management credentials being advantageous. Strong attention to detail, effective communication, and problem-solving skills help you excel when coordinating with cross-functional teams. Mastery of these skills ensures accurate, actionable environmental data and compliance with regulatory standards.

What are popular job titles related to Environmental Data Management jobs in Minnesota?

For Environmental Data Management jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Environmental Data Management jobs in Minnesota look for?

The top searched job categories for Environmental Data Management jobs in Minnesota are:

What cities in Minnesota are hiring for Environmental Data Management jobs?

Cities in Minnesota with the most Environmental Data Management job openings:

Infographic showing various Environmental Data Management job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.

Manager-AI and Data Risk Management

Deloitte

Minneapolis, MN

Full-time

Posted 25 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Technical Manager - AI & Data Risk Management - Financial Services 

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

The Manager is a key hands-on leader of a team providing data and analytics solutions to our clients, and you will have following roles:

  • Act as a team leader in engagements, providing project oversight and guidance on the direction for the team ensuring the team is aligned with client / engagement objectives
  • Be the main point of contact for clients, communicating progress, and insights to stakeholders
  • Design and implement solutions to enhance data management capabilities such as data architecture, data platforms, data governance, data quality, and data security
  • Apply knowledge of Financial Services industry systems, tools, and technologies to develop robust and scalable solutions
  • Integrate and/or pilot next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) in designing solutions or execution of engagements
  • Oversee technical components of data initiatives and perform technical reviews of solutions designed by the team
  • Coordinate with cross-functional teams internally and externally to execute engagements
  • Develop strategies for utilizing analytics and visualization tools to transform raw data into actionable insights for the clients
  • Prepare reports for senior management that detail progress, challenges, and milestones related to projects and initiatives
  • Present findings and recommendations to stakeholders in a clear, impactful manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 7+ years' experience in data architecture, data management, or data engineering
  • 3 years' experience in the financial services or fintech industry
  • Proficiency in tools in the following areas:
    • Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)
    • Big Data Tools (e.g., Databricks, Snowflake, Apache Spark & Kafka, etc.)
    • Data Management (e.g., Collibra, Alation, Informatica, Alteryx, etc.)
    • Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)
    • Data Visualization (e.g., Tableau, PowerBI, Qlik, etc.)
    • Data Mining (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.)
  • Experience in:
    • Reporting tools such as Axiom for regulatory reporting in banking
    • Data integration and migration projects within financial services
    • Data governance tools and their application in a regulatory context
  • Ability to manage large datasets and perform complex data manipulations and analyses
  • Strong analytical skills with the ability to interpret complex data and translate it into actionable insights
  • Proven track record of effective communication (written and verbal) and complex problem solving in fast paced environments
  • Experience managing distributed teams across geographies and overseeing complex projects
  • Limited immigration sponsorship may be available
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems or a related field OR MBA
  • Project Management Professional (PMP), Cloud Certification (e.g. AWS, Azure), Certified Data Management Professional (CDMP), or similar credentials
  • 4+ years of experience in the financial services industry

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141200 to $278300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Technical Manager - AI & Data Risk Management - Financial Services 

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

The Manager is a key hands-on leader of a team providing data and analytics solutions to our clients, and you will have following roles:

  • Act as a team leader in engagements, providing project oversight and guidance on the direction for the team ensuring the team is aligned with client / engagement objectives
  • Be the main point of contact for clients, communicating progress, and insights to stakeholders
  • Design and implement solutions to enhance data management capabilities such as data architecture, data platforms, data governance, data quality, and data security
  • Apply knowledge of Financial Services industry systems, tools, and technologies to develop robust and scalable solutions
  • Integrate and/or pilot next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) in designing solutions or execution of engagements
  • Oversee technical components of data initiatives and perform technical reviews of solutions designed by the team
  • Coordinate with cross-functional teams internally and externally to execute engagements
  • Develop strategies for utilizing analytics and visualization tools to transform raw data into actionable insights for the clients
  • Prepare reports for senior management that detail progress, challenges, and milestones related to projects and initiatives
  • Present findings and recommendations to stakeholders in a clear, impactful manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 7+ years' experience in data architecture, data management, or data engineering
  • 3 years' experience in the financial services or fintech industry
  • Proficiency in tools in the following areas:
    • Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)
    • Big Data Tools (e.g., Databricks, Snowflake, Apache Spark & Kafka, etc.)
    • Data Management (e.g., Collibra, Alation, Informatica, Alteryx, etc.)
    • Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)
    • Data Visualization (e.g., Tableau, PowerBI, Qlik, etc.)
    • Data Mining (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.)
  • Experience in:
    • Reporting tools such as Axiom for regulatory reporting in banking
    • Data integration and migration projects within financial services
    • Data governance tools and their application in a regulatory context
  • Ability to manage large datasets and perform complex data manipulations and analyses
  • Strong analytical skills with the ability to interpret complex data and translate it into actionable insights
  • Proven track record of effective communication (written and verbal) and complex problem solving in fast paced environments
  • Experience managing distributed teams across geographies and overseeing complex projects
  • Limited immigration sponsorship may be available
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems or a related field OR MBA
  • Project Management Professional (PMP), Cloud Certification (e.g. AWS, Azure), Certified Data Management Professional (CDMP), or similar credentials
  • 4+ years of experience in the financial services industry

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141200 to $278300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom