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Data Manager Jobs in Springfield, IL (NOW HIRING)

LRS Consulting Services is seeking an experienced IT Data Engagement Lead Manager for our client in Central Illinois. This is 6-month contract to hire opportunity for the right person. If you're that ...

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

The ideal candidate will have 8 to 10 years of experience in legacy migration, data analysis, and project management, with a strong focus on ensuring data integrity and compliance throughout the ...

Legacy Migration Analyst

Springfield, IL · On-site

$101K - $169K/yr

The ideal candidate will have 8 to 10 years of experience in legacy migration, data analysis, and project management, with a strong focus on ensuring data integrity and compliance throughout the ...

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

The ideal candidate will have 8 to 10 years of experience in legacy migration, data analysis, and project management, with a strong focus on ensuring data integrity and compliance throughout the ...

Data Architect

Springfield, IL · On-site

$63.25 - $81.25/hr

Experience managing data architecture and commercial-grade large scale database environments and systems, overseeing data cleansing, conversion, data integrity, and implementation activities for ...

Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures ...

Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service ... Strong Python for data engineering - pandas, PySpark, REST API integration, unit testing (pytest)

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service ... Strong Python for data engineering - pandas, PySpark, REST API integration, unit testing (pytest)

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Data Manager information

See Springfield, IL salary details

$30.7K

$96.3K

$170.5K

How much do data manager jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data manager in Springfield, IL is $96,281.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in database management, data analysis, and certifications like CDMP or CBIP tend to earn higher salaries.

What does a data manager work?

A data manager is responsible for organizing, maintaining, and ensuring the accuracy and security of data within an organization. They often oversee data collection processes, implement data management systems, and use tools like databases and data analysis software. Strong attention to detail and knowledge of data governance are essential for this role.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

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.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications, regardless of age.

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.
What are the most commonly searched types of Data jobs in Springfield, IL? The most popular types of Data jobs in Springfield, IL are:
What job categories do people searching Data Manager jobs in Springfield, IL look for? The top searched job categories for Data Manager jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Data Manager jobs? Cities near Springfield, IL with the most Data Manager job openings:

IT Data Engagement Lead Manager

LRS

Springfield, IL • On-site

Other

Posted 13 days ago


Job description

Job Description Time to get to work. LRS Consulting Services is seeking an experienced IT Data Engagement Lead Manager for our client in Central Illinois. This is 6-month contract to hire opportunity for the right person.

If you're that person and if you have the IT Data Engagement Lead Management expertise that we need, submit your resume now. LRS Consulting Services has been delivering IT excellence for over four decades. Our reputation for quality, flexibility, and strong relationships with our clients keeps them turning to us to meet their IT consulting needs.

Our contacts, combined with your technical expertise, equals career possibilities for you. So, let's get to work. Key Responsibilities Include: This leader will play a pivotal role in ensuring stability, efficiency, visibility, and continuous improvement of enterprise data capabilities, balancing evolving business priorities with a commitment to technical excellence and innovation.

The ideal candidate will possess practical analytical expertise, deep understanding of business needs, and exceptional decision-making skills to evaluate and prioritize requests that maximize business value. This role requires someone who is highly organized, equally effective communicator for both business and technical partners, and driven to make a meaningful and measurable impact across the enterprise. This Engagement Lead must be able to navigate competing demands, align technology work with strategic goals, and create a structured approach to data support, incremental enhancements and strategic advancements.

Evaluate and prioritize incoming requests based on business impact, urgency, and technical feasibility. Set clear expectations with stakeholders, ensuring alignment with organizational goals. Communicate trade-offs transparently, advocating for business value over reactive task execution.

Facilitate progression of effort from roadmap to project intake and project initiation, including prioritization, cost-benefit analysis, and other pre-project tasks. Develop a structured framework for prioritization that ensures mission-critical support needs are met while also advancing right-sized enhancements that drive continuous improvement. Ensure operational metrics, roadmaps, goals/outcomes, project status, and other critical reports outs for the data department are updated appropriately.

Identify and help remove operational roadblocks that limit team effectiveness, including process inefficiencies, unclear responsibilities, or misaligned priorities. Facilitate necessary resource capacity/demand activities include planning, onboarding, tracking, and support for both employee and contractual staff across all enterprise data teams. Ensure cross-team collaboration, fostering a shared understanding of priorities, dependencies, and technical solutions.

Create and uphold accountability structures to ensure work is completed efficiently and of high quality. Drive a culture of ownership, problem-solving, and continuous learning. Coach team leads on best practices for planning, reporting, and cross-functional collaboration.

Promote the use of generative AI tools to boost team creativity, efficiency, and skill development. Serve as the bridge between technology teams and business stakeholders, ensuring both sides understand priorities, constraints, and impacts. Maintain a strong grasp of enterprise data systems, workflows, and potential challenges, ensuring informed decision-making.

Set firm but fair expectations with business stakeholders, ensuring they understand how and why prioritization decisions are made. Provide regular updates on progress, challenges, and key outcomes related to support and enhancements. Communicate realistic timelines, risks, and trade-offs when managing requests.

Must have 6+ years of experience with the following: Experience leading/shaping IT data and continuous improvement teams in a large enterprise environment. Experience within Insurance, Financial Services, or related business domain. Familiarity with cloud platforms (AWS, Azure), ITIL frameworks, and Agile methodologies in IT leadership, with a focus on managing IT projects, technical support, and/or system enhancements.

Proven track record of making strategic prioritization decisions that drive business value. Experience implementing generative AI technologies in development workflows. Experience in negotiating and influencing senior leaders on data priorities and trade-offs.

Familiarity with at least one area of Data Management, including but not limited to, data intensive applications, data development lifecycles, data analytics, business intelligence, data governance, and/or data-driven decision making. Ability to translate business needs into technical priorities and vice versa. Ability to view the enterprise data ecosystem holistically and identify systemic issues that affect multiple teams or business areas.

Familiarity with modern planning and ticketing systems (e.g., ServiceNow, Enterprise One, Monday, Jira, Azure DevOps) and IT project/portfolio management best practices. Familiarity with change management frameworks to support adoption of new processes, tools, or prioritization frameworks across data teams. Proficiency in leveraging generative AI tools like ChatGPT, Copilot, or similar to enhance IT workflows

Strong leadership skills, with the ability to motivate, support, and guide teams in a fast-paced environment. Experience with IT portfolio planning, tracking, and senior level report outs. Ability to set clear expectations and communicate priorities firmly yet diplomatically to stakeholders.

Strong facilitation and conflict resolution skills, with the ability to mediate between diverse stakeholders and align differing viewpoints. Experience leading/shaping IT data and continuous improvement teams in a large enterprise environment. Experience within Insurance, Financial Services, or related business domain.

Familiarity with cloud platforms (AWS, Azure), ITIL frameworks, and Agile methodologies. Candidate must be able to effectively communicate in English (written & verbal) Candidate must have permanent authorization to work in the USA for any employer Corp to corp candidates will not be considered The base range for this contract position is $40 - $75 per hour, depending on experience. Our pay ranges are determined by role, level, and location.

The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. LRS is an equal opportunity employer.

Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status.