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Data Manager Jobs in Naperville, IL (NOW HIRING)

Pwc

Data Governance- Manager

Chicago, IL · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Pwc

Data Governance- Manager

Rosemont, IL · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

The Aspen Group

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

Sralab

Manager, Data Analytics

Chicago, IL · On-site

Summary The Manager, Data Analytics will provide data analytics services to help solve business problems, drive value, and gain strategy and insight from information. Use advanced data analysis ...

West Monroe

Manager, Data Strategy

Chicago, IL · On-site

$175K - $205K/yr

We are seeking a Manager in our Data & Analytics team to join our Technology & Experience Practice and lead enterprise client projects through the full lifecycle - from strategy, concept, and ...

Geneva Trading

Data Engineering Manager

Chicago, IL · On-site

The Role We are looking for a Data Engineering Manager to own our market data platforms and analytical data systems. This is not a pure people-management role. You will manage a small team, but you ...

The Aspen Group

Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

Reply

Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks ...

Reply

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks ...

Kemper

Data Science Manager

Chicago, IL · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

Komatsu

IT Manager, Data & Analytics

Chicago, IL · On-site

Apply now IT Manager, Data & Analytics Posting Start Date: 3/19/26 Job Location (Short): Milwaukee, Wisconsin, USA, 53204-2941 | Chicago, Illinois, USA, 60631 Requisition ID: 35392 Onsite or Remote:

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Showing results 21-40

All JobsData JobsData Manager JobsData Manager Jobs in Naperville, IL

Data Manager information

See Naperville, IL salary details

$31K

$97K

$171.7K

How much do data manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data manager in Naperville, IL is $97,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $125,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their roles essential for organizations managing large data sets.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
What are the most commonly searched types of Data jobs in Naperville, IL? The most popular types of Data jobs in Naperville, IL are:
What are popular job titles related to Data Manager jobs in Naperville, IL? For Data Manager jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Data Manager jobs in Naperville, IL look for? The top searched job categories for Data Manager jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Data Manager jobs? Cities near Naperville, IL with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Naperville, IL as of August 2026, with employment types broken down into 76% Full Time, 2% Part Time, and 22% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $97,000 per year, or $46.6 per hour.

Data Integrity Manager

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 7 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 341 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Description
Caring is one of United's most important principles. And no one exemplifies that more than our Customer Contact Center team, who helps our customers with everything from booking and managing reservations, to questions about their travel, MileagePlus accounts, and so much more! Are you a people person? Do you get fulfillment from helping others? Then join a team that cares for our customers and makes a positive impact on their travel experience, every single day.
Job Overview and Responsibilities
The Manager of Data Integrity & Knowledge Architecture is responsible for the readiness, structure, and continuous quality of the data and knowledge assets that are leveraged by customer-facing automation platforms. Ensures that the automation has immediate access to clean, verified, and well-structured data. Will bridge the gap between Customer Support & Advocacy operations, Brand, Content, and Data Governance to drive automated and personalized resolutions with the most accurate data.
  • Redesign traditional, human-readable knowledge articles and FAQs into structured, modular data blocks optimized for retrieval-augmented generation (RAG) and semantic search used by Generative AI and agentic
  • Ensure a single source of truth across all channels
  • Establish and enforce strict data quality, deduplication, and standardization rules for customer profile data, transaction histories, and interaction metadata
  • Ensure that standard data is sanitized and formatted across systems so AI models can accurately read and interpret
  • Partner direction with digital technology, customer profile, and data scientists to map out data dependencies required for automation. Audit production journeys to understand real-time experience, latency issues, response accuracy, ability to read/write to internal systems, and enabling automation to perform transactions
  • Create a robust feedback loop by analyzing automated 'fallbacks' or classification failures caused by data gaps. Review transcripts and system logs to identify missing or inaccurate knowledge articles, broken data fields or unmapped backend logic, continuously tuning the data layer to drive customer resolution
  • Collaborate with Information Security and other privacy teams to ensure channels strictly comply with privacy regulations and manage data-masking rules to prevent personally identifiable information (PII) from leaking into LLM training logs or unauthorizied third-parties

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree or related experience
  • Management Information Systems, Data Science, Informatics, or a related field that is heavily analytical/systems-driving discipline
  • Enterprise content/knowledge management certification or a formal data governance credential
  • 3+ years of experience managing enterprise data quality, master data management (MDM), or content/knowledge base architectures
  • 2+ years working directly within or supporting a complex contact center technology stack
  • Deep expertise in structuring content for optimal search, resue, and machine consumption
  • Understanding how to transition from long-form text documents to modular, snippet-based data structures
  • High literacy regarding how data travels from backend systems to front-end chat/voice interfaces
  • Ability to trace complex customer journey across disparate legacy backends and identify where data silos will break automated conversations
  • Familiarity with Generative AI concepts and prompt writing
  • Exposure to AI platforms such as Copilot, ChatGPT, Gemini, Claude, Perplexity, and NotebookLM
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Master's degree or related experience
  • Master of Science in Data Governance, Business Analytics, Knowledge Management or equivalent field
  • Data infrastructure certification or platform certification in enterprise knowledge management tools
  • Direct experience preparing corporate data or content management architectures for a large-scale Conversational AI, LLM, or automated self-service deployment that achieved significant deflection/containment metrics
  • Strong conceptual understanding of semantic search function to ground LLMs and reduce AI hallucinations
  • Familiarity with how data is logged, stored, and routed within major platforms
  • AI ethics on string-masking, tokenization, or hashing to protect sensitive customer data at point of intake
  • Hands-on experience using AI tools in projects, internships, or work environment
  • Knowledge of automation platforms such as Power Automate, Copilot Studio, Zapier, or n8n

What United Airlines employees say

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Hours and flexibility

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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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