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Data Lead Jobs in Chicago, IL (NOW HIRING)

Lead small engagements or key workstreams within large, complex data and analytics transformations for Healthcare clients * Design and implement cloud and hybrid data architectures, migration ...

The Region Data Migration Lead will be responsible for understanding the data definitions and placements decided by the functional team and creating migration requirements from the current local ...

Lead end-to-end data testing strategy , planning, and execution for data warehouses, data lakes, ETL/ELT pipelines, reporting, and analytics platforms * Define and implement data test frameworks ...

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Data Lead information

See Chicago, IL salary details

$31

$72

$98

How much do data lead jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for data lead in Chicago, IL is $72.25, according to ZipRecruiter salary data. Most workers in this role earn between $62.45 and $81.06 per hour, depending on experience, location, and employer.

What is a data lead?

A Data Lead is a professional responsible for overseeing a team of data analysts, engineers, or scientists and managing data-related projects within an organization. They ensure the quality, integrity, and security of data, and often develop strategies to leverage data for business insights and decision-making. Data Leads coordinate between technical teams and business stakeholders, set data governance standards, and may also be involved in designing data architectures or analytics solutions. Their role is critical in helping organizations make data-driven decisions and maintain competitive advantage.

How does a data lead typically collaborate with cross-functional teams within an organization?

As a Data Lead, you will frequently collaborate with cross-functional teams such as engineering, product management, and business stakeholders to ensure data solutions align with organizational goals. This involves translating business requirements into technical data solutions, guiding data engineers and analysts, and communicating project progress to non-technical stakeholders. Regular meetings, clear documentation, and proactive communication are essential to facilitate alignment and deliver effective data-driven outcomes. This collaborative environment not only enhances project success but also supports professional growth through exposure to diverse perspectives and challenges.

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

To thrive as a Data Lead, you need expertise in data analysis, data management, and a strong understanding of database systems, often supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as SQL, Python, data visualization platforms (like Tableau or Power BI), and experience with ETL processes or cloud data solutions is typically required. Outstanding leadership, communication, and problem-solving skills enable effective team management and cross-functional collaboration. These skills are crucial for ensuring data integrity, driving data-driven decision-making, and leading high-performing analytics teams.

What is the difference between Data Lead vs Data Analyst?

AspectData LeadData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related fieldsBachelor's in Statistics, Mathematics, or related fields; certifications like Google Data Analytics are common
Work EnvironmentLeads data projects, manages teams, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making
Industry UsageUsed across industries for strategic data managementCommonly used for data analysis and reporting roles

The main difference between a Data Lead and a Data Analyst lies in their responsibilities and scope. Data Leads oversee data projects, manage teams, and align data strategies with business goals, while Data Analysts focus on analyzing data, generating reports, and supporting decision-making. Both roles require strong analytical skills and relevant credentials, but Data Leads typically have more leadership responsibilities and a broader strategic focus.

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

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

Infographic showing various Data Lead job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $150,285 per year, or $72.3 per hour.

Senior Manager Data Lead

Chicago, IL • Hybrid


Deloitte
Finance and Insurance • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

45th of 152 rated financial services

Good employer

Recommended by students

Paid breaks


Full-time

Posted 13 days ago


Job description

Healthcare Provider

L65 - Associate Vice President, AI and Data Solutions - Data Lead

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 9/19/26.

Work You'll Do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations for Healthcare clients
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Deloitte's Healthcare Consulting practice is one of the largest in the world. Our practice delivers distinctive services to the country's largest national and regional health plans, 10 of the 10 largest healthcare systems and 8 of the 10 largest for-profit healthcare systems in the US. Our healthcare practice seeks to transform the delivery of care, modernize the industry and enhance our clients' business and operational models.

Many Providers have felt the heavy impact of various government regulations and have experienced a period of decreasing margins and increasing emphasis on cost controls. Our healthcare professionals enable health care providers (from physicians to integrated delivery systems) to improve the cost effectiveness and quality of their care delivery capabilities. Deloitte Consulting can help clients address these and other challenges in today's complex health care environment.

Qualifications

Required:

  • 10+ years experience delivering AI and Data solutions for Healthcare Provider organizations to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
  • 6+ years of hands-on experience modernizing enterprise data platforms and delivering solutions from ideation through production, to include:
    • Cloud and on-premises data landscape (ie: Snowflake, Databricks, BigQuery, Teradata)
    • ETL/ELT tools and data integration patterns within cloud ecosystems
    • Healthcare provider data ecosystems, such as Epic Clarity, Epic Caboodle, or Cerner/Oracle Health databases
    • Clinical data exchange and coding standards, including HL7, FHIR, and ICD
    • Data operations (ie: orchestration, monitoring, data quality, production support, and incident resolution)
  • 4+ years experience leading, managing and delivering complex AI and Data engagements
  • 2+ years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $193,725 to $322,875.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Healthcare Provider

L65 - Associate Vice President, AI and Data Solutions - Data Lead

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 9/19/26.

Work You'll Do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations for Healthcare clients
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Deloitte's Healthcare Consulting practice is one of the largest in the world. Our practice delivers distinctive services to the country's largest national and regional health plans, 10 of the 10 largest healthcare systems and 8 of the 10 largest for-profit healthcare systems in the US. Our healthcare practice seeks to transform the delivery of care, modernize the industry and enhance our clients' business and operational models.

Many Providers have felt the heavy impact of various government regulations and have experienced a period of decreasing margins and increasing emphasis on cost controls. Our healthcare professionals enable health care providers (from physicians to integrated delivery systems) to improve the cost effectiveness and quality of their care delivery capabilities. Deloitte Consulting can help clients address these and other challenges in today's complex health care environment.

Qualifications

Required:

  • 10+ years experience delivering AI and Data solutions for Healthcare Provider organizations to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
  • 6+ years of hands-on experience modernizing enterprise data platforms and delivering solutions from ideation through production, to include:
    • Cloud and on-premises data landscape (ie: Snowflake, Databricks, BigQuery, Teradata)
    • ETL/ELT tools and data integration patterns within cloud ecosystems
    • Healthcare provider data ecosystems, such as Epic Clarity, Epic Caboodle, or Cerner/Oracle Health databases
    • Clinical data exchange and coding standards, including HL7, FHIR, and ICD
    • Data operations (ie: orchestration, monitoring, data quality, production support, and incident resolution)
  • 4+ years experience leading, managing and delivering complex AI and Data engagements
  • 2+ years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $193,725 to $322,875.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:


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