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Data Visualization Architect Jobs in Wisconsin (NOW HIRING)

U.S. Venture

Principal Data Scientist

Appleton, WI · On-site

... visualization. * Deep understanding of the distribution, supply chain, and transportation ... This individual will personally architect-and in the highest-stakes cases personally build-the most ...

Wisconsin

BI Developer III

Madison, WI · On-site

$85K/yr

Activities will include developing and maintaining data visualization dashboards and reports ... architecture. This position may require some work to be performed in-person, onsite, at a ...

Blain's Farm & Fleet

IT Data Engineer

Janesville, WI · On-site

$72K - $90K/yr

Experience with PowerBI, Tableau or other data visualization tools * Experience writing data processing applications and workflows using Scala or Java. EEO Statement Blain Supply, Inc and Blain ...

idexcel

Software Developer II

Milwaukee, WI

... data visualization Utilize modern tools for all phases of software development. Collaborating with global, cross-functional engineering teams, Principal Engineers and Architects to build world class ...

E-Solutions

Application Architect III

Madison, WI · On-site

Experience with testing strategies and tasks such as identifying test scenarios, test data setup ... Experience with Visualization tools and practices * Experience documenting processes and technical ...

Koch

Digital Portfolio Manager

Green Bay, WI · On-site

... data. • Collaborate with IT and enterprise architects for resource alignment and alternative ... visualization platforms such as Power BI Company : Based in Wichita, Kansas, Koch is one of the ...

Acrisure

Application Developer

Stevens Point, WI

Our Solution Architecture Team (SAT) will work closely with this developer to implement application ... Data Visualization: Experience with data visualization tools such as SSRS, Power BI, or Telerik ...

CloudDevs

WI · On-site

... data service for command and control (C2) software. Hypergiant with its partners is building an ... Experience with geographic visualization application development * Experience with counter-advanced ...

New

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Strong experience with AI architecture and distributed systems * Experience operationalizing ... Familiarity with data visualization and analytics platforms such as Power BI or Tableau.

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Strong experience with AI architecture and distributed systems * Experience operationalizing ... Familiarity with data visualization and analytics platforms such as Power BI or Tableau.

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All JobsData Visualization Architect JobsData Visualization Architect Jobs in Wisconsin

Data Visualization Architect information

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$10

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$95

How much do data visualization architect jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for data visualization architect in Wisconsin is $70.63, according to ZipRecruiter salary data. Most workers in this role earn between $61.88 and $79.57 per hour, depending on experience, location, and employer.

What is the highest paid type of architect?

In general, architecture roles in specialized fields such as software architecture, enterprise architecture, or data architecture tend to have higher salaries compared to traditional building architects. Data Visualization Architects, a niche role combining data analysis and visual design, can command high compensation, especially with expertise in tools like Tableau or Power BI and relevant certifications. Salaries vary based on industry, experience, and location, but technical and strategic architecture roles typically earn the most.

How much do architectural visualizers make?

Architectural visualizers typically earn between $50,000 and $80,000 annually, depending on experience, location, and skill level. Professionals skilled in 3D modeling, rendering software, and architectural concepts tend to have higher earning potential.

What is a visualization architect?

A visualization architect is a professional responsible for designing and developing complex data visualizations and dashboards to help organizations interpret large datasets. They often work with tools like Tableau, Power BI, or D3.js and require skills in data analysis, design, and programming to create effective visual communication solutions.

What are the typical challenges faced by a Data Visualization Architect when working with cross-functional teams?

As a Data Visualization Architect, you'll often collaborate with data scientists, business analysts, and software engineers to translate complex data into clear, actionable insights. One common challenge is aligning the diverse expectations and requirements from various stakeholders while ensuring visualizations remain both accurate and accessible. Balancing technical feasibility with user experience, and managing feedback loops, requires strong communication and project management skills. Successfully navigating these challenges not only improves project outcomes but also builds your credibility as a data visualization expert within the organization.

Are data architects in high demand?

Data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They typically require expertise in data modeling, database design, and tools like SQL and cloud platforms, making their skills highly sought after across various industries.

What is the difference between Data Visualization Architect vs Data Analyst?

AspectData Visualization ArchitectData Analyst
CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; certifications in data visualization toolsBachelor's in Statistics, Data Science, or related fields; often certifications in analytics tools
Work EnvironmentDesigns complex visual systems, collaborates with data engineers and designersAnalyzes data sets, creates reports, and provides insights
Industry UsageUsed in organizations requiring advanced data visualization solutionsCommon across industries for data analysis and reporting

The Data Visualization Architect focuses on designing and implementing advanced visual systems to represent complex data, often working closely with data engineers and designers. In contrast, Data Analysts primarily analyze data sets to generate reports and insights. While both roles require knowledge of visualization tools, the architect role emphasizes system design and integration, whereas the analyst role centers on data interpretation and reporting.

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

To thrive as a Data Visualization Architect, you need expertise in data analysis, visual design principles, and proficiency in database querying, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Tableau, Power BI, D3.js, and SQL, as well as certifications in relevant platforms, is highly valued. Strong communication, critical thinking, and the ability to translate complex data into actionable insights set outstanding professionals apart in this role. These skills and qualities are crucial for building effective visualizations that drive informed decision-making and clearly communicate data-driven stories to stakeholders.

What is a Data Visualization Architect?

A Data Visualization Architect is a professional who designs and develops data visualization solutions to help organizations interpret complex data. They work closely with data analysts, business stakeholders, and IT teams to create dashboards, reports, and interactive graphics that make data insights accessible and actionable. Their responsibilities include selecting appropriate visualization tools, establishing best practices, ensuring data accuracy, and optimizing user experience. Data Visualization Architects play a crucial role in transforming raw data into meaningful visual stories that support business decision-making.
What are popular job titles related to Data Visualization Architect jobs in Wisconsin? For Data Visualization Architect jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Visualization Architect jobs in Wisconsin look for? The top searched job categories for Data Visualization Architect jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Visualization Architect jobs? Cities in Wisconsin with the most Data Visualization Architect job openings:
Data Visualization Architect jobs near you
Principal Data Scientist

Principal Data Scientist

U.S. Venture

Appleton, WI • On-site

Other

Posted 19 hours ago

U.S. Venture rating

7.3

Company rating: 7.3 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

171st of 351 rated retail wholesalers

Job description

POSITION SUMMARY
As the most senior individual contributor on our Data Science team, you will set the technical direction for how U.S. Venture applies advanced data science, machine learning, and emerging AI capabilities to solve the most complex problems in distribution and supply chain. You will operate as a hands-on technical leader-personally architecting and building the highest-impact models-while shaping the analytical strategy, raising the bar on engineering rigor, and developing the next generation of data scientists. Your deep command of supply chain and distribution strategy, combined with mastery of modern AI techniques and a strongly collaborative approach, will be instrumental in turning data science into a durable competitive advantage for U.S. Venture and its operating companies.
This role will ideally be located in Appleton, WI, however, we are open to considering remote/hybrid candidates based on the relevancy of experience. On-site time would be required in Appleton, WI.
JOB RESPONSIBILITIES
Development:
  • The expectation is that this individual will join the team as a recognized expert with mastery across the following:
    • Understanding of core processes: data collection, cleansing, data models, data modeling and data visualization.
    • Deep understanding of the distribution, supply chain, and transportation businesses that U.S. Venture operates in, including the economics, operating constraints, and decision-making contexts that drive value for our internal and external clients.
    • Setting the standard for engineering quality and coding practices used by the Data Science Team, while personally producing production-grade work in the languages used at U.S. Venture (SQL, R, Python) and the surrounding tooling for testing, version control, and deployment.
    • Advanced statistical and machine learning modeling techniques, including classification, regression, deep learning, reinforcement learning, and modern generative AI / large language model techniques.
    • Data engineering and feature engineering concepts at scale, including pipelines built on modern cloud data platforms (e.g., Azure Data Factory / Synapse / Fabric, GCP BigQuery, Dataflow, and open table formats such as Iceberg).
    • Optimization model methodologies applied to large-scale distribution networks, inventory positioning, routing, and labor allocation problems.
    • Forecasting model development, lifecycle management, and continuous improvement across demand, supply, and operational signals.
    • Designing and deploying models into production with the surrounding MLOps practices-CI/CD, monitoring, drift detection, retraining, and responsible-AI guardrails.
Innovation
  • The Data Science Team is one of the teams at the forefront of innovation at U.S. Venture. This individual will be expected to set the technical direction for data science innovation across the enterprise and to be the most senior technical voice in shaping where the team places its bets.
  • This individual will be accountable for continuously advancing our modeling techniques through R&D-improving accuracy, runtime performance, scalability, and explainability-and for personally tackling the problems that no one else on the team can.
    • They will define and shepherd the R&D portfolio for the Data Science Team, sequencing the experiments and proofs that will be executed by Lead and Senior team members and ensuring those experiments translate into production capability.
  • This individual will be expected to push the art of the possible, generate the ideas that define our multi-year analytical roadmap, and pull AI and other emerging technologies into how U.S. Venture solves real distribution and supply chain problems.
  • This individual will personally architect-and in the highest-stakes cases personally build-the most complex models, simulations, optimizations, and AI-enabled solutions that drive material business decisions.
  • This individual will maintain an active external network with peers and researchers at the leading edge of data science and AI-academia, partner labs, vendors, and the broader practitioner community-and will translate that signal into concrete capability for the Data Science Team and U.S. Venture.
    • They are expected to continuously evaluate new platforms, frameworks, and AI capabilities (including foundation models, agentic patterns, and adjacent emerging technologies) and to make the call on what U.S. Venture should adopt, pilot, or pass on.
Execution
  • This individual will personally execute the highest-stakes, most technically demanding projects in the Data Science portfolio-the work that requires the deepest technical judgment and where success or failure has the largest business consequence.
  • They will partner directly with Data & AI leadership to shape the multi-year analytical strategy, R&D investments, and the integration of AI into the broader Enterprise Platform.
  • This individual is the final technical authority on which modeling approach is used for the team's most significant work, and is accountable for the rigor and defensibility of that choice in front of senior leadership.
  • The responsibilities this individual also includes:
    • Leveraging the full range of statistical, machine learning, and AI techniques to create new analytical products and capabilities for U.S. Venture and its operating companies.
    • End-to-end forecast modeling which includes
      • Modeling the dataset
      • Evaluating multiple modeling techniques
      • Building and orchestrating a pipeline that deploys final model to production
    • Building and executing optimization models for the most complex distribution and logistics network problems-multi-echelon inventory, routing, network design, capacity, and labor.
    • Developing and deploying simulation and digital-twin models that allow internal and external clients to evaluate outcomes under uncertainty and make better strategic and operational decisions.
    • Communicating outcomes, tradeoffs, and recommendations to senior leadership-including executive, board, and external client audiences-with the credibility to influence material business decisions.
    • Setting the standard for technical documentation and design review across the Data Science Team, and serving as the final reviewer on the team's most consequential work.
Collaboration:
  • This individual must have outstanding interpersonal and influencing skills, with the ability to build rapport and earn credibility at every level-from engineers and analysts up through the CIO, executive leadership team, and business unit presidents.
  • This person will partner closely with Engineering, Architecture, Business Analytics, the business unit operating teams (including U.S. AutoForce, Breakthrough, and the Energy businesses), and external partners-ensuring the Data Science roadmap is tightly coupled to the Enterprise Platform, distribution strategy, and business outcomes across a diverse multi-BU portfolio.
  • Working with all team members to lead the continuous improvement of the team's engineering, modeling, and review practices.
  • Actively mentor and develop Lead, Senior, and earlier-career data scientists-bringing new concepts, techniques, and methodologies to the team and investing in the long-term growth of the people who will be the next generation of senior practitioners.
    • Be the team's primary educator on emerging techniques and AI capabilities-running working sessions, code reviews, design reviews, and worked examples that raise the technical ceiling of the entire group.
QUALIFICATIONS
Required:
  • Bachelor's or Master's degree in Industrial Engineering, Industrial Management, Operations Research, Data Analytics, Statistics, Economics, Computer Science, Business Administration, or a related field involving problem solving and critical thinking, or equivalent work experience.
  • 12+ years of relevant experience, including significant hands-on time leading the design, development, and production deployment of advanced statistical, machine learning, and AI models against real distribution, supply chain, or comparably complex operating problems.
  • Expert ability to develop effective data visualizations that are used by upper management in decision-making situations.
  • Strong, demonstrable track record of building data science and AI solutions that have delivered material, measurable business outcomes in distribution, supply chain, or comparable operationally complex environments.
  • Mastery of multiple programming languages, frameworks, and technologies, specifically SQL, Python and/or R, modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and workflow orchestrators (e.g., Airflow, Dagster, or equivalent).
  • Expert understanding of database concepts, data modeling principles, and modern cloud data platforms (e.g., Azure Data Factory / Synapse / Fabric, GCP BigQuery, Dataflow, and open table formats such as Iceberg, or equivalent).
  • Strong command of distribution and supply chain strategy and economics, with direct experience applying data science to distribution, transportation, and/or energy operating problems strongly preferred.
  • Expertise in advanced statistical concepts and modern AI/ML modeling techniques, including deep learning architectures (e.g., transformers, LSTMs, GNNs), reinforcement learning, and applied generative AI / large language model techniques.
  • Demonstrated ability to mentor and grow data scientists at every level-technical and durable skillsets-and to raise the overall technical bar of a team.
  • Proven record of creating a collaborative environment that builds a team mentality.
  • Excellent problem-solving skills and the ability to navigate complex analytical and data-related challenges.
  • Advanced analytical skills with an emphasis on attention to detail and being able to look at a problem from multiple angles and perspectives.
  • Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

DIVISION:
Corporate
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
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