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Data Strategy Jobs in Minnesota (NOW HIRING)

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

Partner with business stakeholders to define and enforce master data and reference data strategies * Design, develop, and deploy AI-powered solutions to address complex business challenges with ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver ...

Enterprise Architect (Hybrid)

Saint Paul, MN · On-site

$69.75 - $90/hr

You will help ensure that business strategies are supported by the right combination of people, processes, technology, data, governance, and organizational capabilities while driving modernization ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

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Data Strategy information

See Minnesota salary details

$23.8K

$110.6K

$205.5K

How much do data strategy jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data strategy in Minnesota is $110,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,644.00 and $140,884.00 per year, depending on experience, location, and employer.

How much do data strategists make?

Data strategists typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data management and analytics can earn higher salaries, often exceeding $150,000.

Is 40 too late for data science?

Data strategy professionals and data scientists can enter the field at any age, as skills such as programming, statistics, and domain knowledge are more important than age. Many successful data professionals start or transition into the field later in life, often leveraging prior experience and continuous learning through online courses and certifications. Age is generally not a barrier to developing a career in data science or related roles.

What is a Data Strategy job?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What is the highest paying data job?

The highest paying data jobs typically include Chief Data Officer, Data Science Director, and Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions often require advanced skills in data management, analytics, and leadership, along with relevant certifications or degrees. Compensation varies widely but senior-level roles in large organizations tend to offer the highest salaries in the data field.

What are some typical projects or initiatives a Data Strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements plans to collect, analyze, and utilize data to support business goals. They identify data needs, establish data governance standards, and work with teams to ensure data-driven decision-making using tools like analytics platforms and data management systems.

What are the key skills and qualifications needed to thrive in the Data Strategy position, and why are they important?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

What are the most commonly searched types of Data Strategy jobs in Minnesota? The most popular types of Data Strategy jobs in Minnesota are:
What are popular job titles related to Data Strategy jobs in Minnesota? For Data Strategy jobs in Minnesota, the most frequently searched job titles are:
Senior Data Scientist

Senior Data Scientist

UnitedHealth Group

Minnetonka, MN • Remote

$91K - $163K/yr

Full-time

Retirement

Posted 5 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 882 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.  

We are seeking a highly skilled Principal Data Engineer to lead the design, development, and optimization of largescale data platforms and analytical solutions. The ideal candidate will have deep expertise in MSSQL, AWS cloud services, Data Warehousing, Python, Airflow, and overall data management best practices, with a strong ability to lead teams, define architecture, and drive data strategy across the organization.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Technical Leadership
    • Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows
    • Lead endtoend data engineering efforts, ensuring reliability, performance, and costefficient data systems
    • Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration
    • Collaborate with crossfunctional teams (analytics, product, engineering, business) to align data solutions with business goals
  • Data Engineering & Pipeline Development
    • Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow
    • Manage large-scale data ingestion, transformation, and orchestration frameworks
    • Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems
  • Cloud & Infrastructure
    • Develop and manage cloudnative data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.)
    • Ensure high availability, disaster recovery, and monitoring of critical data workflows
    • Implement CI/CD, infrastructureascode, and DevOps practices for data engineering workloads
  • Data Warehousing & Modeling
    • Design and enhance enterprise data warehouses and data marts following industry best practices
    • Drive dimensional modeling, data partitioning, performance tuning, and metadata management
    • Ensure consistency and quality across analytical datasets and data sources
  • Data Governance & Quality
    • Establish data quality frameworks, lineage tracking, validation checks, and documentation
    • Implement governance standards including security, compliance, and access control
    • Partner with business stakeholders to define and enforce master data and reference data strategies
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI   

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in CS or IT related field 
  • 10 years of experience in Data Engineering, with at least 3 years in a senior/principallevel role
  • 7 years of experience in MSSQL-query optimization, indexing, stored procedures, performance tuning
  • 7  years of experience in Data Warehousing, ETL/ELT, and bigdata processing
  • 5 years of handson experience with AWS Cloud for data architecture and pipeline development
  • 5 years of extensive experience with Airflow for workflow orchestration
  • 3 years of experience in Python for data engineering (Pandas, PySpark, etc.)
  • 2 years of experience in data management principles: governance, quality, lineage, and security

Preferred Qualifications:

  • Excellent leadership, communication, and crossteam collaboration skills.
  • Ability to translate business needs into scalable technical designs.

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

     

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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