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Data Manager Jobs in Minnesota (NOW HIRING)

Old National Bank

Data Enablement Director

Lake Elmo, MN · On-site

$258K/yr

Establish and maintain a demand management process that captures, prioritizes, and routes data product requests from business stakeholders to the appropriate delivery teams. * Develop consumer-facing ...

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ark data centers

Data Center Manager

Duluth, MN · On-site

$166K/yr

Ensure adherence to Data Center and company processes including, but not limited to change management, problem management, incident management; and regularly communicate, train and review the ...

New

Quanex

Manager, Data Governance

Owatonna, MN

Quanex is looking for a Manager, Data Governance to join our team located in Akron, OH, Owatonna, MN or Rice Lake, WI. Will be responsible for establishing, leading, and sustaining enterprise data ...

ark data centers, LLC

Data Center Manager

Duluth, MN

$166K/yr

Ensure adherence to Data Center and company processes including, but not limited to change management, problem management, incident management; and regularly communicate, train and review the ...

New

Banner Engineering

Associate Data Analyst

Minneapolis, MN · On-site

$56K - $77K/hr

Enterprise Data Management * Develop and enhance automated data quality processes that improve the accuracy, consistency, and reliability of enterprise data. * Investigate data issues, perform root ...

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All JobsData JobsData Manager JobsData Manager Jobs in Minnesota

Data Manager information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data manager jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data manager 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 the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
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 Data Manager jobs in Minnesota? For Data Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Manager jobs in Minnesota look for? The top searched job categories for Data Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Data Manager jobs? Cities in Minnesota with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.
Senior Manager, Data Quality & Governance USWM

Senior Manager, Data Quality & Governance USWM

Royal Bank of Canada

Minneapolis, MN • On-site

$90K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Description

What is the opportunity?
US Wealth Management is evolving toward a domain-driven, data product-oriented architecture to enable scalable analytics, regulatory transparency, and AI-powered advisor insights. Achieving this requires moving beyond policy-driven governance to embedded, operational data control at scale.
This role is responsible for turning governance into execution-ensuring data across critical domains (Client, Account, Positions, Transactions, etc.) is accurate, traceable, and fit-for-purpose.
You will act as the operational lead of the Data Control Layer, embedding data quality, lineage, and governance directly into data products and pipelines, and ensuring domain teams are accountable for data outcomes.

What will you do?

Drive Enterprise Data Adoption

  • Lead the rollout and adoption of data platforms, data products and AI-enabled insights across Wealth Management
  • Define and execute data enablement strategies aligned to key business priorities (e.g., advisor productivity, client lifecycle, credit & lending insights)
  • Ensure new capabilities are operationalized, not just delivered

Operationalize Data Products & Domains

  • Partner with Business Strategy, Data Product, Data Engineering, and AI teams to translate outputs into business-consumable assets
  • Develop enablement frameworks for domain-based data (e.g., Client, Account, Positions, Transactions) to ensure clarity in definitions and usage
  • Establish playbooks for how data products are used in real workflows, not just how they are built

Lead Data Literacy & Training Programs

  • Design and deliver targeted training programs for advisors, field leadership, and business partners
  • Build tiered data literacy models (basic advanced AI-enabled decisioning)
  • Enable users to confidently interpret metrics, KPIs, and AI-driven insights

Own Communication & Engagement Strategy

  • Create clear, consistent communication on new data capabilities, changes, and value delivered
  • Run internal campaigns to drive awareness and behavioral change
  • Act as the "voice of the user" back into Data & AI teams

Bridge Business and Data Teams

  • Engage Business Data Strategy team to translate business needs into enablement requirements, not technical specs
  • Identify friction points in adoption and work with product/engineering teams to resolve
  • Ensure alignment between what is built and what is actually used

Measure Adoption & Value Realization

  • Define and track KPIs such as:
    • Data product adoption rates
    • Usage frequency and depth
    • Advisor productivity lift tied to data usage
  • Establish feedback loops to continuously improve enablement efforts

What do you need to succeed? (Must-have)

  • Strong understanding of wealth management workflows (advisor experience, client lifecycle, lending/credit, reporting)
  • Experience driving adoption of data platforms, analytics tools, or AI solutions
  • Proven ability to translate complex data concepts into business-friendly narratives and workflows
  • Experience designing and delivering training, enablement, or change management programs
  • Familiarity with domain-driven data concepts and data products
  • Strong stakeholder management across business, digital, and technology teams
  • Analytical mindset with ability to define and track adoption and value metrics

Nice to have

  • Experience with tools such as Snowflake, Power BI / Tableau
  • Exposure to AI/GenAI use cases in financial services (e.g., advisor insights, client intelligence, automation)
  • Knowledge of data governance, data quality, and metadata frameworks
  • Background in change management methodologies (e.g., Prosci, Agile transformation)
  • Experience enabling self-service analytics environments

What's in it for you?

  • Opportunity to shape how data and AI are actually used at scale in a modern Wealth Management firm
  • Direct impact on financial advisor productivity and client outcomes
  • High visibility role operating across business, data, and AI leadership
  • Ability to build a foundational capability (Data Enablement) that is often the difference between success and failure in data transformations
  • Work at the forefront of integrating data domains, data products, and AI into real business workflows

The good-faith expected salary range for the above position is $90,000 - $160,000 depending on factors including but not limited to the candidate's experience, skills, registration status; market conditions; and business needs.This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

Drives RBC's high performance culture

Enables collective achievement of our strategic goals

Generates sustainable shareholder returns and above market shareholder value

Job Skills

Big Data Management, Collibra Data Governance, Critical Thinking, Data Administration, Database Architecture, Data Governance, Data Governance Framework, Data Lineage, Data Movement, Data Profiling, Data Quality, Data Quality Assessments, Data Quality Control, Data Quality Management, Data Quality Test Automation, Data Quality Tools, Data Warehousing (DW), Information Capture, Knowledge Organization, Long Term Planning, Repository Tools, Snowflake (Platform)

Additional Job Details

Address:

250 NICOLLET MALL:MINNEAPOLIS

City:

Minneapolis

Country:

United States of America

Work hours/week:

40

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-06

Application Deadline:

2026-07-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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