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

Manager, Data Engineering

Chicago, IL ยท On-site

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The right person can lead a team of Data Engineers and still do the work themselves - technical design, code reviews, incident management, platform modernization, and engineering standards. They'll ...

Data Engineering Manager

Chicago, IL ยท On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Provide technical and architectural leadership for the firm's data platform, with a primary focus ... Manage and document projects, including scope, timelines, risks, dependencies, and key decisions.

Provide technical and architectural leadership for the firm's data platform, with a primary focus ... Manage and document projects, including scope, timelines, risks, dependencies, and key decisions.

Manager, Data Analytics

Chicago, IL ยท On-site

$127K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

Department Overview The role Manager, Data Analytics bridges the gap between business stakeholders ... Technical Liaison: Act as a liaison between business units and technical teams, ensure alignment ...

Data Transformation Manager

Chicago, IL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Data Transformation Manager is responsible for ensuring accurate, efficient, and seamless data ... The ideal candidate combines strong technical expertise with an analytical mindset and is ...

As a technical leader, the person will assist with setting the technical direction of the practice ... Experience establishing data management strategy for customers, including data governance, data ...

Data Protection, Manager

Chicago, IL ยท On-site

$150K - $178K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Protection Manager, you'll lead the delivery of data protection and data governance ... You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team ...

New

Manager, Data Engineering

Chicago, IL ยท On-site

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... Experience establishing data management strategy for customers, including data governance, data ...

Manager, Data Operations

Chicago, IL ยท On-site

$150K - $168K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As the Manager of Data Operations, you will lead a team responsible for the reliability ... You will balance people management with deep technical engagement-guiding the team while also ...

Showing results 21-40

Technical Data Manager information

See Chicago, IL salary details

$52.5K

$156.9K

$199.3K

How much do technical data manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for technical data manager in Chicago, IL is $156,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $186,500.00 per year, depending on experience, location, and employer.

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

AspectTechnical Data ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like DAMA or CDMPBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in industries with large data assets like finance, healthcare, manufacturingCommon across industries for data interpretation and reporting

The Technical Data Manager focuses on overseeing data quality, governance, and infrastructure, ensuring data is accurate and accessible. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. While both roles work with data, their responsibilities and skill sets differ significantly.

How much does a technical data manager get paid?

The average salary for a technical data manager typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals in this role often require strong data management skills and familiarity with tools like SQL and data warehousing systems.

What are the key skills and qualifications needed to thrive as a technical data manager?

To thrive as a Technical Data Manager, you need expertise in data management, database administration, and data governance, typically supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, ETL platforms, data warehousing solutions, and certifications like CDMP or cloud data certifications are commonly required. Strong leadership, problem-solving, and communication skills set top candidates apart in managing teams and collaborating across departments. These skills ensure effective data integrity, security, and accessibility, which are vital for supporting business intelligence and strategic decision-making.

What is a technical data manager?

A Technical Data Manager is responsible for overseeing the collection, storage, management, and analysis of data within an organization, ensuring data integrity and security. They develop data management strategies, implement data governance policies, and coordinate with IT and business teams to support data-driven decision-making. Technical Data Managers also supervise data teams, maintain data quality, and ensure compliance with relevant regulations. Their role is critical in organizations that rely on accurate and accessible data for operational and strategic purposes.

What are some common challenges faced by technical data managers, and how can applicants prepare for them?

Technical Data Managers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and balancing the needs of various stakeholders. Applicants can prepare by developing strong project management skills, staying current with data governance best practices, and gaining experience with modern data platforms. Effective collaboration with IT, analytics, and business teams is essential, so strong communication skills are also crucial for success in this role.

What are the most commonly searched types of Technical Data jobs in Chicago, IL?

The most popular types of Technical Data jobs in Chicago, IL are:

What job categories do people searching Technical Data Manager jobs in Chicago, IL look for?

The top searched job categories for Technical Data Manager jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Technical Data Manager jobs?

Cities near Chicago, IL with the most Technical Data Manager job openings:

Data Transformation Manager

Strongpoint Partners

Chicago, IL โ€ข Hybrid

$100K - $120K/yr

Full-time

Posted 22 days ago


Job description

Position Summary:

Strongpoint Partners is seeking a Data Transformation Manager to join our Data & Analytics team. This role plays a critical part in analyzing and interpreting complex data sets while leading the transformation and migration of data across core business systems. The Data Transformation Manager is responsible for ensuring accurate, efficient, and seamless data conversions while maintaining enterprise-wide data quality, hygiene, and coverage.

In addition to hands-on data transformation and migration work, this role is accountable for designing, building, and maintaining automated tools that monitor data quality, identify gaps, and improve overall data integrity. The ideal candidate combines strong technical expertise with an analytical mindset and is passionate about leveraging AI and automation to scale data operations across the organization.

PLEASE NOTE: This is a hybrid position based in our Chicago, Illinois office, with an expectation of three days per week in the office.

Key Responsibilities:

  • Define, monitor, and improve data integration speed and coverage KPIs while owning process design and implementation.
  • Maintain accountability for enterprise-wide data hygiene and coverage by establishing data quality standards and partnering with cross-functional teams.
  • Design, build, and maintain automated tools that monitor data quality, coverage, and integrity while identifying inconsistencies or missing data.
  • Leverage AI tools, including ChatGPT and Claude, to improve data transformation processes, automate monitoring, and enhance coverage detection.
  • Analyze existing data structures and formats while collecting, cleaning, validating, and transforming data from multiple sources.
  • Collaborate with cross-functional teams to understand business requirements and ensure successful data conversions.
  • Utilize SQL, Python, JavaScript, and other tools to manipulate, validate, and transform data.
  • Create and maintain documentation for data mappings, conversion processes, and transformation logic.
  • Troubleshoot data conversion issues and implement timely, long-term solutions.
  • Identify opportunities for process improvements and automation to increase efficiency.
  • Conduct post-conversion validation to ensure data integrity and accuracy.
  • Analyze structured and unstructured datasets using statistical methods and data visualization tools.
  • Communicate project progress, challenges, and outcomes to technical and non-technical stakeholders.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, a related business discipline, or equivalent experience.
  • 5-7 years of experience in data transformation, analytics, data engineering, or a related field.
  • Proficiency with SQL, PostgreSQL, Python, JavaScript, or similar programming languages.
  • Experience with data visualization tools such as Power BI or Tableau.
  • Strong understanding of database management principles, data manipulation techniques, and data governance best practices.
  • Demonstrated experience owning enterprise-level data quality or governance initiatives.
  • Experience designing or implementing automated data monitoring, validation, or alerting systems.
  • Strong analytical and problem-solving skills with the ability to work with large, complex datasets.
  • Excellent written and verbal communication skills with the ability to communicate technical concepts to diverse audiences.
  • Strong organizational skills, attention to detail, and the ability to manage multiple priorities.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Consulting experience and certifications in Snowflake, Power BI, dbt, or related technologies are a plus.

Pay Transparency Statement:

The anticipated pay range for this position isย $100,000-120,000ย annually.

At Strongpoint Partners, our salary ranges reflect the minimum and maximum base pay for the posted position applicable to all locations across the US. Within the posted salary range, individual pay is determined by the geographic location, job related skills, experience, education, and certifications. Our total compensation package includes base pay plus a comprehensive benefits program.