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Associate Data Manager Jobs in Chicago, IL (NOW HIRING)

Associate Data Scientist

Northbrook, IL · On-site

$60K - $61K/yr

Associate Data Scientist This role is Hybrid, 3 days a week on-site at the Northbrook, IL Office ... Support innovation management activities by helping develop blueprints and frameworks to ...

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Support innovation management activities by helping develop blueprints and frameworks to ...

Associate Data Scientist

Northbrook, IL · On-site

$60K - $61K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Support innovation management activities by helping develop blueprints and frameworks to ...

Associate Data Scientist

Northbrook, IL · Hybrid

$59K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Support innovation management activities by helping develop blueprints and frameworks to ...

Associate Data Scientist

Northbrook, IL · Hybrid

$60K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Support innovation management activities by helping develop blueprints and frameworks to ...

ASSOCIATE, DATA ENGINEER

Chicago, IL

$16.50 - $21.50/hr

Understanding prompt context management and how data structure impacts AI model output quality. Qualifications * Bachelor's degree in computer science, engineering, or a similar field * 1+ years of ...

ASSOCIATE, DATA ENGINEER

Chicago, IL · On-site

$85K - $110K/yr

Understanding prompt context management and how data structure impacts AI model output quality. Qualifications * Bachelor's degree in computer science, engineering, or a similar field * 1+ years of ...

Manage client-specific data collection module tasks across standard and add-on tool offerings. * Ensure data quality by validating submissions, applying Data Reference Manual (DRM) guidelines, and ...

In this role, you will independently manage complex data intake, validation, and quality operations ... Mentor junior associates on procedural data concepts, validation approaches, and effective ...

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is ... Bachelor's degree in business, management information systems, computer science, life sciences or ...

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is ... Bachelor's degree in business, management information systems, computer science, life sciences or ...

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Associate Data Manager information

See Chicago, IL salary details

$14

$34

$57

How much do associate data manager jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for associate data manager in Chicago, IL is $34.10, according to ZipRecruiter salary data. Most workers in this role earn between $25.29 and $40.38 per hour, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of an associate data manager typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with certifications in data management tools can earn higher salaries.

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

To thrive as an Associate Data Manager, you need a solid background in data management principles, attention to detail, and a relevant degree such as in life sciences, computer science, or a related field. Familiarity with data management tools like EDC (Electronic Data Capture) systems, SQL, and knowledge of industry regulations (e.g., GCP, CDISC) or certifications like SCDM are typically required. Strong organizational skills, effective communication, and problem-solving abilities help you coordinate with cross-functional teams and ensure data integrity. These competencies are crucial for ensuring high-quality, compliant data collection and delivery in clinical trials or research environments.

What jobs in the US pay 300,000 a year?

For an Associate Data Manager, earning $300,000 annually is uncommon; such high salaries are typically associated with executive roles, senior data leadership positions, or specialized consulting roles in large organizations. These roles often require extensive experience, advanced skills in data management tools, and sometimes certifications or advanced degrees.

What does an associate data manager do?

An associate data manager is responsible for collecting, organizing, and maintaining data within an organization. They often use database tools and software to ensure data accuracy, security, and accessibility, supporting data analysis and decision-making processes. This role typically requires attention to detail and familiarity with data management systems.

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

AspectAssociate Data ManagerData Analyst
Required CredentialsBachelor's degree in data management, IT, or related field; certifications like CDMP are commonBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically in data management teams within organizations, focusing on data integrity and database managementOften in business or research settings, analyzing data to generate reports and insights
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance rolesCommon in marketing, finance, and consulting for data-driven decision making

The main difference is that Associate Data Managers focus on maintaining and organizing data systems, while Data Analysts interpret data to provide insights. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and purpose.

Is 40 too late for data science?

For an Associate Data Manager or similar data-related roles, starting a career in data science at age 40 is feasible, especially with relevant skills like programming, statistics, and experience with tools such as SQL or Python. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can support this shift.

What are some common challenges faced by Associate Data Managers when coordinating data collection across multiple sites?

Associate Data Managers often work with data from various clinical trial or research sites, which can present challenges such as ensuring data consistency, managing different site timelines, and addressing discrepancies in data entry. Effective communication and strong organizational skills are essential, as is familiarity with data management systems and regulatory requirements. Collaborating closely with site coordinators and senior data managers helps resolve issues quickly and maintain data integrity throughout the project.
What are the most commonly searched types of Data Manager jobs in Chicago, IL? The most popular types of Data Manager jobs in Chicago, IL are:
What are popular job titles related to Associate Data Manager jobs in Chicago, IL? For Associate Data Manager jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Associate Data Manager jobs in Chicago, IL look for? The top searched job categories for Associate Data Manager jobs in Chicago, IL are:
Associate Data Scientist

Associate Data Scientist

UL Solutions

Northbrook, IL • On-site

$60K - $61K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


UL Solutions rating

8.5

Company rating: 8.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

19th of 103 rated laboratories


Job description

Associate Data Scientist

This role is Hybrid, 3 days a week on-site at the Northbrook, IL Office.

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in developing predictive models, data-driven and AI solutions for laboratory, field engineering, and accreditation & compliance operations. The role covers the full innovation lifecycle - from ideation and prototyping to implementation and validation - combining hands-on data science with basic data engineering. This is a collaborative, applied role working at the intersection of operations, principal engineering, and global technology and other partners.

  • Develop and apply machine learning and AI methods to predict test outcomes, automate decision-making, and extract insights from complex operational data across UL Solutions laboratories, field engineering, and compliance operations.
  • Work with diverse operational data sources including laboratory information systems, legacy databases, sensor data, and structured/unstructured documents.
  • Collaborate with operations, principal engineering, and technology partners to identify AI opportunities and translate business problems into working solutions.
  • Support the full innovation lifecycle from ideation and feasibility assessment through prototyping, implementation, validation, and production deployment.
  • Evaluate and apply emerging AI techniques -- including large language models, retrieval-augmented generation, and computer vision -- where they add value to operational workflows.
  • Combine scientific methods with business process understanding to ensure solutions are technically sound, operationally relevant, and properly validated.
  • Perform basic data engineering tasks including data extraction, transformation, and pipeline maintenance to ensure reliable data availability for AI and analytics.
  • Support innovation management activities by helping develop blueprints and frameworks to systematically identify, evaluate, classify, and prioritize AI and predictive modeling opportunities - contributing to the team's innovation portfolio from early ideation through feasibility validation and implementation readiness.
Responsibilities
  • Collect, process, cleanse, and validate data from diverse operational sources for analysis and modeling.
  • Perform exploratory data analysis on large, complex datasets to identify patterns and determine appropriate analytical techniques.
  • Build, train, and optimize machine learning models (classification, regression, clustering, time-series) for predictive modeling and other AI use cases.
  • Explore and prototype AI-driven solutions beyond classical ML, such as NLP, document understanding, or intelligent automation where applicable.
  • Support feature engineering, model selection, hyperparameter tuning, and model evaluation using established scientific and statistical methods.
  • Develop and maintain basic ETL workflows and data pipelines to support modeling and reporting needs.
  • Document model assumptions, limitations, validation results, and alignment with business processes.
  • Present analysis results, model performance, and recommendations clearly to both technical and non-technical stakeholders.
  • Stay current with AI and data science developments and assess their applicability to UL Solutions operations.
  • Contribute to the maturation of data science and AI capabilities across laboratory, field engineering, and compliance operations.
Qualifications
  • Minimum of bachelor's degree or equivalent work experience in Data Science, Computer Science, Statistics, Physics, Engineering, or a related quantitative field.
  • Knowledge of machine learning techniques (clustering, decision trees, random forests, neural networks, regression) and their practical trade-offs.
  • Python coding skills for data manipulation, analysis, and model development (NumPy, Pandas, Scikit-learn, PyTorch or similar).
  • Basic understanding of modern AI concepts including large language models, NLP, and retrieval-augmented generation.
  • Experience querying databases using SQL.
  • Familiarity with data visualization tools (e.g., Power BI, Matplotlib) to communicate findings.
  • Basic understanding of data engineering concepts (ETL pipelines, data quality, data integration).
  • Exposure to cloud platforms (Azure preferred) and version control (Git/GitHub) is a plus.
  • Strong analytical and problem-solving skills with a hands-on, applied mindset and curiosity for emerging technologies.
  • Good communication and presentation skills - able to explain technical methods and results to non-technical audiences.
  • Ability to work in a multidisciplinary team and contribute to strategic goals.
  • Software engineering skills such as test-driven development, CI/CD practices, API design, or containerization are a plus

What you'll experience working for ULS

UL Solutions has been pioneering change since 1894 and we're still leading the way. From day one, we've blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.

That's where you come in — because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.

This is more than a job. It's a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today — and tomorrow. As a member of our safety science community, you'll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.

Everyone here is unique. But we're also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.

Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future — one where everyone benefits.

Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit  UL.com

Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $65,000 to $78,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 5% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).

About Us

A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers' product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers' products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

Job Info
  • Job Identification 9695
  • Job Category Information Technology
  • Posting Date 06/02/2026, 12:20 PM
  • Degree Level Bachelor's Degree
  • Job Shift Day
  • Locations 333 Pfingsten Road, Northbrook, IL, 60062, US

What UL Solutions employees say

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