1

Personalization Jobs in Wisconsin (NOW HIRING)

Operate one of the personalization machines including the embroidery machines, engraving machine, laser engraving machine, etc. Track all inventory through the use of radio frequency (RF) scanners to ...

Ensure campaign quality through strong QA, documentation, and process discipline Segmentation, Data & Personalization * Develop audience segmentation using behavioral, CRM, and other available data ...

Utilize segmentation, dynamic content, and personalization to deliver relevant member experiences. 9. Lead the evolution of personalization, journey orchestration, and automation capabilities. Stay ...

Partner with engineering to support real-time personalization and scalable deployment Skills & Experience * Experience with recommendation systems, search, or ranking problems at scale of millions of ...

Site core Developer/Lead

Racine, WI

$55.25 - $72.50/hr

NET/C# and Sitecore Experience in working with Sitecore DMS for Web Analytics and Personalization. Experience in designing multichannel distribution & social channels. Should possess in-depth ...

... personalization, measurement, AI, and innovation. You will translate business needs into structured requirements, research insights, recommendations, and validation plans that improve marketing ...

next page

Showing results 1-20

Personalization information

See Wisconsin salary details

$13

$39

$92

How much do personalization jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for personalization in Wisconsin is $39.05, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $46.35 per hour, depending on experience, location, and employer.

What is a Personalization job?

A Personalization job focuses on tailoring user experiences, content, or product recommendations based on data-driven insights. Professionals in this field analyze user behavior, preferences, and interactions to create customized experiences that enhance engagement and satisfaction. Roles may involve working with machine learning models, customer segmentation, and A/B testing to optimize personalization strategies. These jobs are common in industries like e-commerce, streaming services, and digital marketing, where delivering relevant content is essential.

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

To thrive in a Personalization role, you need a strong background in data analysis, marketing, and customer segmentation, often supported by a degree in marketing, data science, or a related field. Familiarity with personalization platforms, customer relationship management (CRM) tools, and A/B testing frameworks is common, along with experience using analytics software like Google Analytics or Adobe Target. Creativity, strategic thinking, and strong communication skills set outstanding candidates apart by enabling them to translate insights into actionable, customer-focused initiatives. These capabilities are essential for designing tailored user experiences that drive engagement, satisfaction, and business outcomes.

What jobs pay 700 a day?

In the field of personalization, high-paying roles such as UX/UI designers, data scientists, and digital marketing consultants can earn around $700 or more per day, especially with specialized skills and experience. Freelance or contract positions in these areas often pay daily rates in this range, depending on project scope and client budgets.

What is a personalization specialist?

A personalization specialist is a professional who designs and implements tailored experiences for users or customers by analyzing data and preferences. They often work with tools like customer relationship management (CRM) systems and require skills in data analysis, marketing, and user experience design. Their goal is to increase engagement and satisfaction through customized content or services.

What professions make 500,000 a year?

In the field of personalization, high-paying roles such as senior data scientists, machine learning engineers, and product directors can earn $500,000 or more annually, especially in tech companies. These positions typically require advanced skills in data analysis, programming, and experience managing large-scale personalization systems, often with stock options or bonuses contributing to total compensation.

What are some common challenges faced in a Personalization role and how can they be overcome?

Professionals in Personalization often face challenges such as integrating data from multiple sources, balancing privacy concerns, and keeping up with rapidly evolving technology. Overcoming these obstacles involves staying updated on industry best practices, leveraging collaborative relationships with IT and data teams, and maintaining a customer-centric mindset. Regularly testing and iterating on personalization strategies also helps refine approaches and ensure relevance to target audiences. By proactively addressing these challenges, professionals can deliver highly effective and compliant personalization campaigns that enhance both customer experience and business performance.

What are the top 5 happiest jobs?

Personalization roles, such as user experience designers and customer success managers, often report high job satisfaction due to their focus on improving user engagement and positive feedback. Jobs in creative fields, healthcare, education, and technology also tend to rank highly for happiness, especially when they offer meaningful work, good work-life balance, and opportunities for growth.
What are popular job titles related to Personalization jobs in Wisconsin? For Personalization jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Personalization jobs in Wisconsin look for? The top searched job categories for Personalization jobs in Wisconsin are:
What cities in Wisconsin are hiring for Personalization jobs? Cities in Wisconsin with the most Personalization job openings:
Infographic showing various Personalization job openings in Wisconsin as of July 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $81,232 per year, or $39.1 per hour.
Manager, Personalization Analytics

Manager, Personalization Analytics

KOHLS

Menomonee Falls, WI • On-site

Other

Posted 14 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,457 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

Job Duties: 

Use big data and advanced analytical techniques to optimize customer engagement and lifetime value • Utilize customer-level 1:1 analysis and modeling for targeting initiatives 

• Play a lead role in consolidating learnings towards personalization initiatives that help make data based targeting more potent over time 

• Oversee the activation of tests, ensuring essential model runs, segmentation and timelines are  provided to key stakeholders 

• Ensure relevant analytics assets and tests are documented, and insights are captured • Manage and influence direct reports, systems and projects to achieve unit goals per Kohl’s policies  and practices 

• Provide leadership by exhibiting influence and expertise and driving results 

• Create and promote an effective work environment by developing a common vision, setting clear  objectives, expecting teamwork, recognizing outstanding performance and maintaining open  communications 

• Develop staff through coaching, providing performance feedback, providing effective performance  assessments and establishing performance and development plans 

• Influence, collaborate and partner with teams and leaders across the organization 

Required Minimum Position Qualifications: Master’s degree in Statistics, Data Science, Business Analytics  and Information Management, or related field of study and 2 years of experience in the job offered or  any related occupation in which the required experience was gained. In lieu of a Master’s degree in  Statistics, Data Science, Business Analytics and Information Management, or related field of study, the  employer will also accept a Bachelor’s degree in Statistics, Data Science, Business Analytics and  Information Management, or related field of study and 5 years of experience in the job offered or any  related occupation in which the required experience was gained. 

Position also requires demonstrated experience in the following: 

• Using Python, R, on cloud servers to explore business performance data to create insight.  Methods can include clustering, market basket analysis, regression analysis, and descriptive  analysis 

• Scaling predictive models and optimization algorithms for marketing use cases • Machine learning theory and techniques used for creating predictive models, including  understanding of gradient boosting techniques and loss functions. 

• Creating personalization models to improve targeting across channels 

• Developing and applying A/B testing frameworks to test model and marketing strategy  effectiveness, proficient in a variety of bias correction methods and apply according to the  specific situation 

• Creating reports about model/analysis results using data visualization with tools such as  Google slides/worksheet, Tableau, Looker, Streamlit, or Power BI

• Data ETL (extract, transform, load) with SQL or Google Big query, to pull and analyze large  and complex datasets, proficient in advanced syntaxes. 

To Apply: To apply, email resume to new.talent@kohls.com, OR submit a resume to  https://jobcenterofwisconsin.com/Login.aspx, OR submit a resume to https://careers.kohls.com/.  Must reference Job Title & Job Code: 000252. 

#LI-DNP #LI-DNI


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom