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Director Machine Learning Jobs in Chicago, IL (NOW HIRING)

Pwc

AI & GenAI Data Scientist-Director

Chicago, IL · On-site

$155K - $410K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Director, you will set the strategic direction and lead business development efforts, making ... Responsibilities - Leading the design and development of AI and Machine Learning solutions to ...

Pwc

AI & GenAI Data Scientist-Director

Rosemont, IL · On-site

$155K - $410K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Director, you will set the strategic direction and lead business development efforts, making ... Responsibilities - Leading the design and development of AI and Machine Learning solutions to ...

Reyes Holdings

Data Scientist

Rosemont, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and implement machine learning models and deliver accurate and quality analyses that ... Requests for accommodation should be directed to your point of contact in the Talent Acquisition or ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and implement machine learning models and deliver accurate and quality analyses that ... Requests for accommodation should be directed to your point of contact in the Talent Acquisition or ...

Allstate

P&C Actuary Director - Reserving

Chicago, IL · On-site

As a Director, you won't just deliver results - you'll shape culture, sharpen the craft, and set ... Working proficiency with AI, machine learning, and generative AI as applied to reserving and ...

Allstate

P&C Actuary Director - Reserving

Chicago, IL · On-site

As a Director, you won't just deliver results - you'll shape culture, sharpen the craft, and set ... Working proficiency with AI, machine learning, and generative AI as applied to reserving and ...

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Showing results 21-40

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Chicago, IL

Director Machine Learning information

See Chicago, IL salary details

$37.1K

$94.8K

$145.4K

How much do director machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for director machine learning in Chicago, IL is $94,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $109,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Chicago, IL?

The most popular types of Machine Learning jobs in Chicago, IL are:

What are popular job titles related to Director Machine Learning jobs in Chicago, IL?

For Director Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Director Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Director Machine Learning jobs?

Cities near Chicago, IL with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $94,778 per year, or $45.6 per hour.

Director of Data Engineering & Data Science - IAA

The Job Sauce

Chicago, IL • On-site

Full-time

Re-posted 14 days ago

Job description

About the Role
IAA is seeking a Director of Data Engineering & Data Science to lead a highly visible, business-critical function at the intersection of data, analytics, machine learning, and business transformation. This leader will define and drive the vision, architecture, and execution for IAA's data engineering and data science capabilities, ensuring the organization can scale advanced analytics, BI, forecasting, machine learning, and AI solutions that directly support business growth and operational excellence.
This role requires a strong technical leader and business problem solver who can partner across a broad set of stakeholders including Operations, Business, Sales, Marketing, Product, and Engineering. The ideal candidate brings deep expertise in the Azure BI and data ecosystem, strong people leadership, and the ability to translate complex business needs into practical, scalable data and AI solutions.
This position reports directly to the VP of Engineering and is a critical, high-visibility leadership role within the organization.
What You'll Do
  • Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm
  • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack
  • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms
  • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas
  • Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems
  • Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights
  • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team
  • Establish strong engineering practices across architecture, delivery quality, scalability, governance, and operational excellence
  • Collaborate closely with engineering leaders and cross-functional teams to ensure data and AI solutions are aligned with platform, product, and business priorities
  • Act as a senior thought partner to leadership on data strategy, technical tradeoffs, and investment priorities

What We're Looking For
  • Proven experience leading Data Engineering, BI, Analytics, and/or Data Science Engineering teams at the Director level or equivalent
  • Deep expertise in the Azure BI / data technology stack, including:
    • Microsoft Fabric
    • Azure Synapse Analytics
    • Power BI
    • Broader Azure data and analytics services
  • Strong understanding of data engineering architecture, modern analytics platforms, and scalable data pipelines
  • Strong foundation in data science, machine learning, and model operationalization
  • Demonstrated ability to solve complex business problems through data, analytics, and technical leadership
  • Strong mentoring, coaching, and people leadership skills with experience growing high-performing technical teams
  • Excellent communication and stakeholder management skills; able to work effectively with a wide range of technical and non-technical partners such as Ops, Business, Sales, Marketing, Product, Engineering
  • Ability to operate successfully in a fast-paced, high-visibility environment with multiple priorities and stakeholders
  • Strong executive presence and the ability to connect technical decisions to business outcomes

Preferred Experience
  • Experience supporting enterprise use cases across operations, commercial functions, and product-driven organizations
  • Experience driving both BI modernization and data science / ML adoption within the same organization
  • Familiarity with cloud-native engineering practices, production-grade data platforms, and secure, scalable AI/ML environments
  • Experience leading organizations that combine data engineering, analytics engineering, BI, and data scienceunder one leadership model

IAA Data Science / Engineering Technology Environment
We are looking for a leader who can guide and expand a modern data and AI ecosystem. Relevant technologies include Azure BI capabilities as well as IAA's broader data science and ML toolset, including technologies such as Python, SQL, Azure Event Hub, Apache Airflow, Synapse, Fabric, Docker, Terraform, DBT, PyTorch, TensorFlow, Vertex AI, Gemini, GPT, Prophet, TBATS, SARIMAX, scikit-learn, CI/CD pipelines, and Azure cloud platform.
Why This Role Matters
This is a critical leadership role for IAA. The Director will help shape how the company uses data, analytics, BI, and AI to make better decisions, improve business performance, unlock operational efficiencies, and create scalable competitive advantage. This leader will influence both technical direction and business outcomes across the organization.

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