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Senior Data Manager Jobs in Wisconsin (NOW HIRING)

Tiger Analytics

WI · On-site

We are looking for a Senior Data Scientist with a good blend of data analytics background ... Develop and implement predictive models and optimization algorithms to improve inventory management ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Implement and test end-to-end data solutions under the guidance of senior engineers * Follow ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Implement and test end-to-end data solutions under the guidance of senior engineers * Follow ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Implement and test end-to-end data solutions under the guidance of senior engineers * Follow ...

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Senior Data Manager information

See Wisconsin salary details

$79.7K

$124.2K

$186.2K

How much do senior data manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data manager in Wisconsin is $124,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $138,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior data manager, and why are they important?

To thrive as a Senior Data Manager, you need expertise in data management principles, database design, and statistical analysis, usually backed by a degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL, Oracle), data integration tools, and certifications like CDMP or DAMA are highly valued. Leadership, problem-solving, and effective communication are critical soft skills for managing teams and collaborating across departments. These skills ensure accurate data governance, efficient project execution, and the alignment of data strategy with business goals.

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

AspectSenior Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees data teams, manages data systems, and ensures data qualityAnalyzes data sets, creates reports, and supports decision-making
Employer & Industry UsageUsed in corporate, healthcare, finance sectors for data governanceCommon in marketing, research, and business intelligence roles

The main difference is that Senior Data Managers focus on overseeing data operations and strategy, while Data Analysts primarily analyze data to generate insights. Senior Data Managers have broader responsibilities in data governance and team management, whereas Data Analysts concentrate on data interpretation and reporting.

What is a senior data manager?

A Senior Data Manager is a professional responsible for overseeing the collection, management, and analysis of large sets of data within an organization. They ensure data quality, integrity, and security, and often lead a team of data professionals such as analysts and data engineers. Senior Data Managers collaborate with IT, business, and analytics teams to support data-driven decision-making and compliance with data regulations. They typically have several years of experience in data management, strong technical skills, and leadership abilities.

How much does a senior data manager get paid?

The average salary for a senior data manager typically ranges from $90,000 to $130,000 annually, depending on experience, industry, and location. They often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

What are some typical challenges faced by senior data managers when implementing new data governance policies?

Senior Data Managers often encounter challenges such as resistance to change from stakeholders, integrating new policies with existing legacy systems, and ensuring consistent data quality across departments. Effective communication and cross-team collaboration are crucial to overcome these hurdles, as is providing ongoing training to staff. Additionally, Senior Data Managers need to balance compliance requirements with business objectives to ensure that new policies are both practical and sustainable.
What are popular job titles related to Senior Data Manager jobs in Wisconsin? For Senior Data Manager jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Senior Data Manager jobs in Wisconsin look for? The top searched job categories for Senior Data Manager jobs in Wisconsin are:
What cities in Wisconsin are hiring for Senior Data Manager jobs? Cities in Wisconsin with the most Senior Data Manager job openings:
Senior Data Manager jobs near you
Infographic showing various Senior Data Manager job openings in Wisconsin as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 83% In-person, 7% Hybrid, and 10% Remote job distribution, with an average salary of $124,206 per year, or $59.7 per hour.

Senior Data Scientist (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Posted 13 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,464 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.

What You’ll Do

  • Lead exploratory data analysis to cull actionable insights

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions

  • Develop and implement statistical and machine learning models 

  • Fine-tune, optimize and ensure the scalability of models and algorithms

  • Aid in designing experiments to answer targeted questions

  • Identify and drive continuous improvement of key business metrics in an assigned business functional area

  • Drive adoption and usage of data science products and models

  • Translate data science outputs into business outcomes and value delivered

  • Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development

  • Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s

  • Additional tasks may be assigned

Addendum

DECISION SCIENCE 

Accountabilities

  • Understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates

  • Perform large-scale optimization and statistical analysis in areas of web analytics, forecasting, supply chain management, pricing and inventory management

  • Perform tuning of models by adjusting objective functions, constraints, etc. 

Skills & Experience

  • Experience using commercial or open-source optimization tools (Gurobi, Pyomo, CPLEX, etc.)


 

What Skills You Have

Required

  • Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • 3+ years of progressively complex data science experience

  • Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods 

  • Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.)

  • Strong problem-solving skills with an emphasis on product development

  • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Effective communication and collaboration skills at all levels 

Preferred

  • Master’s degree and/or Ph.D.

  • Retail and Logistics experience

  • Supply chain management

  • Marketing models

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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