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Data Strategy Manager Jobs in Wisconsin (NOW HIRING)

Serve Robotics

$211K - $246K/yr

This includes hiring, performance management, career development, planning, and setting technical ... data strategy, dashboards and analytics products that improve decision-making. * AI-powered self ...

STV

Digital Strategy Lead

Mount Pleasant, WI · On-site

$139K - $159K/yr

This person will support the delivery and operational management of digital solutions for major infrastructure and transportation programs. This role bridges program operations, data strategy, and ...

Kwik Trip, Inc.

Director of IT Data Services

La Crosse, WI · On-site

$145K - $225K/yr

Lead and develop the IT Data Services department, including multiple teams of managers, architects, and engineers * Define and execute short to mid-term 1 to 3 year data strategies aligned with ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77K - $108K/yr

Helps to develop strategies for best practices on data science projects. * Sets and manages project milestones and dates. * Performs other related duties as assigned. * Provides guidance and best ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Helps to develop strategies for best practices on data science projects. * Sets and manages project milestones and dates. * Performs other related duties as assigned. * Provides guidance and best ...

Samprasoft

Enterprise Architect IV

Madison, WI · On-site

$64.25 - $82.75/hr

Develop regular progress reports for management to communicate status on data architecture and modeling efforts * Contribute to an overall agency data strategy Knowledge, Skills, Abilities ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Helps to develop strategies for best practices on data science projects. * Sets and manages project milestones and dates. * Performs other related duties as assigned. * Provides guidance and best ...

Molson Coors

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

... Management team. The person will partner with business leaders to assess requirements, define strategy, and deliver solution that meets the business' needs including enterprise-wide data strategy ...

Molson Coors

Data Architect

Milwaukee, WI · Hybrid

$62.75 - $80.75/hr

... Management team. The person will partner with business leaders to assess requirements, define strategy, and deliver solution that meets the business' needs including enterprise-wide data strategy ...

Leinenkugel's

Data Architect

Milwaukee, WI · Hybrid

$62.75 - $80.75/hr

... Management team. The person will partner with business leaders to assess requirements, define strategy, and deliver solution that meets the business' needs including enterprise-wide data strategy ...

Coors Banquet Beer

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

... Management team. The person will partner with business leaders to assess requirements, define strategy, and deliver solution that meets the business' needs including enterprise-wide data strategy ...

KOHLS

Staff Data Architect (Remote)

Menomonee Falls, WI · On-site

$64 - $82.25/hr

Shape the enterprise data strategy by evaluating tooling and approaches for metadata management, lineage, and automation, and guiding rationalization of legacy or duplicative data assets. * Partner ...

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All JobsData Strategy Manager JobsData Strategy Manager Jobs in Wisconsin

Data Strategy Manager information

See Wisconsin salary details

$31.3K

$98.1K

$173.6K

How much do data strategy manager jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data strategy manager in Wisconsin is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

What does a Data Strategy Manager do?

A Data Strategy Manager is responsible for developing and implementing an organization's data strategies to ensure data is effectively captured, managed, and utilized to support business goals. They work closely with stakeholders across departments to align data initiatives with business objectives, establish data governance standards, and drive data-driven decision making. Their role often involves overseeing data architecture, ensuring data quality, and identifying opportunities for leveraging data to create value for the company.

What is the difference between Data Strategy Manager vs Data Analyst?

AspectData Strategy ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related fields; often certifications in data management or analyticsBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentStrategic planning, cross-department collaboration, executive meetingsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate, tech, finance sectors focusing on data-driven strategiesCommon across various industries for data reporting and insights

The Data Strategy Manager focuses on developing and implementing data-driven strategies to support business goals, often working with leadership. In contrast, a Data Analyst primarily analyzes data sets to generate reports and insights. While both roles require strong analytical skills, the Manager role emphasizes strategic planning and leadership, whereas the Analyst role centers on data analysis and visualization.

What are some common challenges Data Strategy Managers face when aligning data initiatives with business goals?

Data Strategy Managers often encounter challenges such as bridging the gap between technical teams and business stakeholders, ensuring that data initiatives directly support organizational objectives. They must balance ambitious data-driven projects with limited resources and sometimes unclear priorities from leadership. Additionally, navigating data governance, privacy concerns, and legacy systems can complicate efforts to create unified strategies. Effective communication and stakeholder management are key to overcoming these obstacles and driving business value.

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

To thrive as a Data Strategy Manager, you need expertise in data analytics, business intelligence, and strategic planning, often supported by a degree in data science, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), data management systems, and possibly certifications in data governance or analytics is highly valuable. Strong communication, leadership, and stakeholder management skills help bridge technical and business teams while driving data initiatives. These competencies are crucial for aligning data-driven insights with organizational goals and ensuring impactful decision-making.
What are the most commonly searched types of Data Strategy jobs in Wisconsin? The most popular types of Data Strategy jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Strategy Manager jobs? Cities in Wisconsin with the most Data Strategy Manager job openings:
Data Strategy Manager jobs near you
Sr. Manager, Data Engineering & Analytics

Sr. Manager, Data Engineering & Analytics

Serve Robotics

On-site, Remote

$211K - $246K/yr

Full-time

Posted 9 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
Responsibilities
  • Lead the Team: Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards.
  • Technical Leadership: Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data initiatives.
  • Data Platform Ownership: Oversee the design, reliability, scalability, and governance of the company's data infrastructure, such as data warehouses, data lakes, ETL/ELT pipelines, orchestration systems, semantic layers, and BI tooling.
  • Analytics Delivery: Ensure business stakeholders have accurate dashboards, metrics, reporting, and ad hoc analysis to support decision-making across functions such as product, operations, finance, sales, marketing, and executive leadership.
  • Empowering Self-Service: Make self-service an organization-wide goal by building rich, trusted datasets and enabling access through AI-powered natural language interfaces.
  • Data Quality and Governance: Establish standards for data accuracy, lineage, documentation, access controls, privacy, security, and compliance.

Qualifications
  • 6+ years of professional experience in data engineering and analytics including 2+ years experience leading teams of Sr. Data/Analytics Engineers.
  • Data leadership experience: Proven experience managing data engineering, analytics engineering, BI, or analytics teams, including hiring, coaching, performance management, and roadmap planning.
  • Strong technical foundation: Deep understanding of data warehouses, data lakes, ETL/ELT pipelines, orchestration, data modeling, BI platforms, semantic layers, and data quality practices.
  • Experience with modern data stacks: Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran, Looker, Tableau, Power BI, or similar platforms.
  • Cross-functional, business-oriented partnership: Strong track record partnering with executives and teams across product, operations, finance, engineering, sales and marketing, translating business goals into data strategy, dashboards and analytics products that improve decision-making.
  • AI-powered self-service analytics experience: Demonstrated ability to build trusted, governed data products and enable organization-wide access through natural language or AI-powered analytics interfaces, with strong controls for accuracy, security, privacy, compliance and usability.
  • Data governance expertise: Experience establishing standards for data quality, documentation, access controls, privacy, security, auditability, metric definitions, and trusted data products, including SOX, SOC2 compliance and compliance with international data policies and regulations (e.g., GDPR, data residency requirements).
  • Education or equivalent experience: Bachelor's degree in computer science, data science, engineering, statistics, mathematics, information systems, or a related field. Advanced degrees are a plus.

*Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
  • Canada - ALL: $179,976 - CAD- $221,828 CAD

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