Engineering Director Visa Sponsorship Jobs in Illinois
Engineering director roles in Illinois are concentrated in Chicago's technology and manufacturing sectors, with major employers including Motorola Solutions, Zebra Technologies, Boeing, and Allstate. The state's deep engineering talent pipeline, fed by institutions like Northwestern University and the University of Illinois, makes it an active market for international candidates seeking visa sponsorship at the senior engineering leadership level.
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Get Access To All JobsINTRODUCTION
Horace Mann is seeking a strategic, innovative, and results-driven Director, Life & Retirement Analytical Engineering to lead the evolution of our analytical engineering capabilities and transform how data supports business decisions across our Life & Retirement organization.
In this highly influential leadership role, you'll own the strategy, delivery, and continuous improvement of analytical engineering capabilities, ensuring our business has access to trusted, scalable, and high-quality data solutions. You'll also play a key leadership role in the development of Horace Mann's enterprise data warehouse, joining this exciting initiative from the ground up and helping shape the architecture, capabilities, and foundation for future data innovation.
You'll lead and develop a team of technical professionals, establish engineering standards, and oversee a portfolio of data products that improve operational efficiency, strengthen business intelligence, and accelerate access to actionable insights.
The ideal candidate combines deep analytical engineering expertise, modern cloud-based data technologies, strong business acumen, and proven people leadership. You'll partner closely with business leaders, Analytics, Enterprise Data, Architecture, Security, and Technology teams to align technical capabilities with business priorities and drive meaningful, measurable outcomes.
ROLE AND RESPONSIBILITIES
Key Responsibilities
Strategic Leadership & Analytical Engineering
- Provide strategic direction and overall accountability for the Life & Retirement analytical engineering function, including people, portfolio priorities, engineering standards, delivery performance, and business outcomes.
- Translate business priorities into a sequenced roadmap for governed data products, semantic models, curated datasets, and reusable transformation frameworks.
- Establish scalable engineering practices that improve data quality, reliability, accessibility, adoption, and speed to insight.
- Align analytical engineering initiatives with Life & Retirement business priorities and enterprise data strategies.
- Serve as a strategic advisor to business and technology leadership regarding analytical engineering capabilities, investments, and opportunities.
Data Architecture & Engineering Excellence
- Provide architecture direction and technical quality oversight for high-impact analytical engineering solutions.
- Establish and maintain engineering standards for:
- Analytical data modeling and semantic layers
- Data quality, testing, and validation
- Documentation, governance, and maintainability
- Monitoring, observability, and production reliability
- Automation and continuous integration/continuous delivery (CI/CD)
- Reusable data transformations and scalable frameworks
- Guide the development of trusted, reusable analytical data products and governed metric definitions that support consistent reporting and decision-making.
- Provide oversight for scalable cloud-based data solutions, ensuring alignment with enterprise architecture, security, and governance requirements.
- Empower technical leads to own detailed solution design and hands-on execution while maintaining accountability for architecture standards and solution quality.
Portfolio Management & Delivery Performance
- Oversee analytical engineering initiatives from intake through development, implementation, adoption, and ongoing production support.
- Establish portfolio priorities, allocate capacity, and manage resources, dependencies, and risks across competing business initiatives.
- Define clear delivery commitments, quality expectations, and measures of success.
- Monitor portfolio performance and ensure analytical solutions deliver measurable business value.
- Reduce manual and duplicative reporting through reusable, governed, and well-supported analytical data products.
- Drive accountability for timely delivery, operational reliability, and continuous improvement.
Enterprise Partnership & Business Alignment
- Play a key leadership role in the development and implementation of Horace Mann's enterprise data warehouse, partnering with Enterprise Data and Technology teams to establish scalable architecture, data standards, and capabilities that support long-term analytical growth.
- Partner with Life & Retirement leadership, Analytics, Enterprise Data, Architecture, Security, Data Governance, and Technology to align divisional analytical engineering solutions with enterprise standards.
- Translate complex business requirements into scalable data strategies and engineering priorities.
- Influence cross-functional decisions related to data architecture, governance, quality, and analytical capabilities.
- Build strong relationships across business and technology teams to ensure solutions support operational needs and strategic objectives.
- Represent Life & Retirement analytical engineering priorities in enterprise data initiatives and planning discussions.
People Leadership & Talent Development
- Lead, coach, and develop analytical engineering professionals, building a high-performing team focused on technical excellence and business impact.
- Establish clear performance expectations, accountability, development plans, and succession strategies.
- Develop technical leaders and empower team members to take ownership of engineering solutions and delivery commitments.
- Foster a culture of collaboration, innovation, continuous learning, and operational excellence.
- Ensure team capabilities and resources evolve to meet changing business and technology needs.
Innovation & Continuous Improvement
- Champion modernization of analytical engineering practices, tools, and technologies.
- Identify opportunities to improve efficiency through automation, standardization, and reusable engineering frameworks.
- Evaluate emerging capabilities and recommend improvements that strengthen analytical delivery and business outcomes.
- Establish sustainable processes that improve engineering effectiveness, data product adoption, and long-term maintainability.
QUALIFICATIONS & EXPERIENCE
Required
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related quantitative field, or equivalent relevant professional experience.
- 8+ years of progressive experience in analytics engineering, data engineering, business intelligence, data modeling, or related disciplines.
- 3+ years of experience leading technical teams, technical leads, or a significant technical delivery portfolio.
- Demonstrated success building trusted, reusable analytical data products, governed metric and semantic layers, and scalable cloud-based data solutions.
- Advanced expertise in analytical engineering, data architecture, data modeling, and enterprise data product development.
- Proven ability to establish technical direction and oversee complex analytical engineering initiatives.
- Strong understanding of data governance, data quality, security, and enterprise architecture principles.
- Experience translating business priorities into technical roadmaps and measurable business outcomes.
- Demonstrated ability to lead organizational change, implement scalable engineering practices, and drive adoption of new capabilities.
- Strong strategic thinking, communication, collaboration, and decision-making skills.
Preferred
- Hands-on experience with modern analytical engineering technologies, including:
- Snowflake – Cloud-based data warehousing and analytical data solutions
- dbt or comparable transformation tools – Data transformation, modeling, testing, and documentation
- Power BI semantic models – Governed metrics, data modeling, and business intelligence
- SQL – Data querying, transformation, and analytical development
- Python – Data processing, automation, and engineering workflows
- CI/CD practices – Automated testing, deployment, and release management
- Experience in insurance, retirement, financial services, or another regulated industry.
- Master's degree, MBA, or advanced quantitative degree.
Key Skills & Competencies
- Strategic and technical leadership
- Analytical engineering and cloud data architecture
- People leadership and talent development
- Data product strategy and portfolio management
- Semantic modeling and governed metrics
- Snowflake, dbt, SQL, Python, and Power BI
- Engineering standards, automation, and CI/CD
- Data quality, governance, and reliability
- Resource planning and delivery accountability
- Cross-functional influence and stakeholder management
- Organizational change and continuous improvement
- Executive communication and business acumen
ADDITIONAL INFORMATION
- Remote position.
- Periodic travel may be required.
Pay Range:
- $124,200.00 - $175,800.00 annually + bonus
Salary is commensurate to experience, location, etc.
Horace Mann was founded in 1945 by two Springfield, Illinois, teachers who saw a need for quality, affordable auto insurance for teachers. Since then, we've broadened our mission to helping all educators protect what they have today and prepare for a successful tomorrow. And with our broadened mission has come corporate growth: We serve more than 4,100 school districts nationwide, we're publicly traded on the New York Stock Exchange (symbol: HMN) and we have more than $12 billion in assets.
We're motivated by the fact that educators take care of our children's future, and we believe they deserve someone to look after theirs. We help educators identify their financial goals and develop plans to achieve them. This includes insurance to protect what they have today and financial products to help them prepare for their future. Our tailored offerings include special rates and benefits for educators.
EOE/Minorities/Females/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
For applicants that are California residents, please review our California Consumer Privacy Notice.
All applicants should review our Horace Mann Privacy Policy.
INTRODUCTION
Horace Mann is seeking a strategic, innovative, and results-driven Director, Life & Retirement Analytical Engineering to lead the evolution of our analytical engineering capabilities and transform how data supports business decisions across our Life & Retirement organization.
In this highly influential leadership role, you'll own the strategy, delivery, and continuous improvement of analytical engineering capabilities, ensuring our business has access to trusted, scalable, and high-quality data solutions. You'll also play a key leadership role in the development of Horace Mann's enterprise data warehouse, joining this exciting initiative from the ground up and helping shape the architecture, capabilities, and foundation for future data innovation.
You'll lead and develop a team of technical professionals, establish engineering standards, and oversee a portfolio of data products that improve operational efficiency, strengthen business intelligence, and accelerate access to actionable insights.
The ideal candidate combines deep analytical engineering expertise, modern cloud-based data technologies, strong business acumen, and proven people leadership. You'll partner closely with business leaders, Analytics, Enterprise Data, Architecture, Security, and Technology teams to align technical capabilities with business priorities and drive meaningful, measurable outcomes.
ROLE AND RESPONSIBILITIES
Key Responsibilities
Strategic Leadership & Analytical Engineering
- Provide strategic direction and overall accountability for the Life & Retirement analytical engineering function, including people, portfolio priorities, engineering standards, delivery performance, and business outcomes.
- Translate business priorities into a sequenced roadmap for governed data products, semantic models, curated datasets, and reusable transformation frameworks.
- Establish scalable engineering practices that improve data quality, reliability, accessibility, adoption, and speed to insight.
- Align analytical engineering initiatives with Life & Retirement business priorities and enterprise data strategies.
- Serve as a strategic advisor to business and technology leadership regarding analytical engineering capabilities, investments, and opportunities.
Data Architecture & Engineering Excellence
- Provide architecture direction and technical quality oversight for high-impact analytical engineering solutions.
- Establish and maintain engineering standards for:
- Analytical data modeling and semantic layers
- Data quality, testing, and validation
- Documentation, governance, and maintainability
- Monitoring, observability, and production reliability
- Automation and continuous integration/continuous delivery (CI/CD)
- Reusable data transformations and scalable frameworks
- Guide the development of trusted, reusable analytical data products and governed metric definitions that support consistent reporting and decision-making.
- Provide oversight for scalable cloud-based data solutions, ensuring alignment with enterprise architecture, security, and governance requirements.
- Empower technical leads to own detailed solution design and hands-on execution while maintaining accountability for architecture standards and solution quality.
Portfolio Management & Delivery Performance
- Oversee analytical engineering initiatives from intake through development, implementation, adoption, and ongoing production support.
- Establish portfolio priorities, allocate capacity, and manage resources, dependencies, and risks across competing business initiatives.
- Define clear delivery commitments, quality expectations, and measures of success.
- Monitor portfolio performance and ensure analytical solutions deliver measurable business value.
- Reduce manual and duplicative reporting through reusable, governed, and well-supported analytical data products.
- Drive accountability for timely delivery, operational reliability, and continuous improvement.
Enterprise Partnership & Business Alignment
- Play a key leadership role in the development and implementation of Horace Mann's enterprise data warehouse, partnering with Enterprise Data and Technology teams to establish scalable architecture, data standards, and capabilities that support long-term analytical growth.
- Partner with Life & Retirement leadership, Analytics, Enterprise Data, Architecture, Security, Data Governance, and Technology to align divisional analytical engineering solutions with enterprise standards.
- Translate complex business requirements into scalable data strategies and engineering priorities.
- Influence cross-functional decisions related to data architecture, governance, quality, and analytical capabilities.
- Build strong relationships across business and technology teams to ensure solutions support operational needs and strategic objectives.
- Represent Life & Retirement analytical engineering priorities in enterprise data initiatives and planning discussions.
People Leadership & Talent Development
- Lead, coach, and develop analytical engineering professionals, building a high-performing team focused on technical excellence and business impact.
- Establish clear performance expectations, accountability, development plans, and succession strategies.
- Develop technical leaders and empower team members to take ownership of engineering solutions and delivery commitments.
- Foster a culture of collaboration, innovation, continuous learning, and operational excellence.
- Ensure team capabilities and resources evolve to meet changing business and technology needs.
Innovation & Continuous Improvement
- Champion modernization of analytical engineering practices, tools, and technologies.
- Identify opportunities to improve efficiency through automation, standardization, and reusable engineering frameworks.
- Evaluate emerging capabilities and recommend improvements that strengthen analytical delivery and business outcomes.
- Establish sustainable processes that improve engineering effectiveness, data product adoption, and long-term maintainability.
QUALIFICATIONS & EXPERIENCE
Required
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related quantitative field, or equivalent relevant professional experience.
- 8+ years of progressive experience in analytics engineering, data engineering, business intelligence, data modeling, or related disciplines.
- 3+ years of experience leading technical teams, technical leads, or a significant technical delivery portfolio.
- Demonstrated success building trusted, reusable analytical data products, governed metric and semantic layers, and scalable cloud-based data solutions.
- Advanced expertise in analytical engineering, data architecture, data modeling, and enterprise data product development.
- Proven ability to establish technical direction and oversee complex analytical engineering initiatives.
- Strong understanding of data governance, data quality, security, and enterprise architecture principles.
- Experience translating business priorities into technical roadmaps and measurable business outcomes.
- Demonstrated ability to lead organizational change, implement scalable engineering practices, and drive adoption of new capabilities.
- Strong strategic thinking, communication, collaboration, and decision-making skills.
Preferred
- Hands-on experience with modern analytical engineering technologies, including:
- Snowflake – Cloud-based data warehousing and analytical data solutions
- dbt or comparable transformation tools – Data transformation, modeling, testing, and documentation
- Power BI semantic models – Governed metrics, data modeling, and business intelligence
- SQL – Data querying, transformation, and analytical development
- Python – Data processing, automation, and engineering workflows
- CI/CD practices – Automated testing, deployment, and release management
- Experience in insurance, retirement, financial services, or another regulated industry.
- Master's degree, MBA, or advanced quantitative degree.
Key Skills & Competencies
- Strategic and technical leadership
- Analytical engineering and cloud data architecture
- People leadership and talent development
- Data product strategy and portfolio management
- Semantic modeling and governed metrics
- Snowflake, dbt, SQL, Python, and Power BI
- Engineering standards, automation, and CI/CD
- Data quality, governance, and reliability
- Resource planning and delivery accountability
- Cross-functional influence and stakeholder management
- Organizational change and continuous improvement
- Executive communication and business acumen
ADDITIONAL INFORMATION
- Remote position.
- Periodic travel may be required.
Pay Range:
- $124,200.00 - $175,800.00 annually + bonus
Salary is commensurate to experience, location, etc.
Horace Mann was founded in 1945 by two Springfield, Illinois, teachers who saw a need for quality, affordable auto insurance for teachers. Since then, we've broadened our mission to helping all educators protect what they have today and prepare for a successful tomorrow. And with our broadened mission has come corporate growth: We serve more than 4,100 school districts nationwide, we're publicly traded on the New York Stock Exchange (symbol: HMN) and we have more than $12 billion in assets.
We're motivated by the fact that educators take care of our children's future, and we believe they deserve someone to look after theirs. We help educators identify their financial goals and develop plans to achieve them. This includes insurance to protect what they have today and financial products to help them prepare for their future. Our tailored offerings include special rates and benefits for educators.
EOE/Minorities/Females/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
For applicants that are California residents, please review our California Consumer Privacy Notice.
All applicants should review our Horace Mann Privacy Policy.
Engineering Director Job Roles in Illinois
See all 227+ Engineering Director Jobs in Illinois
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Search Engineering Director Jobs in IllinoisEngineering Director Jobs in Illinois: Frequently Asked Questions
Which companies sponsor visas for engineering directors in Illinois?
Several large Illinois-based employers have consistent track records of sponsoring H-1B visa and other work visas for senior engineering roles. Motorola Solutions, Zebra Technologies, Boeing, Caterpillar, and Allstate are among the most active sponsors in the state. Chicago-area tech companies and financial services firms with large engineering organizations, including Discover Financial and CME Group, also regularly file petitions for director-level positions.
Which visa types are most common for engineering director roles in Illinois?
The H-1B is the most common visa category for engineering directors in Illinois, as these roles consistently meet the specialty occupation standard given their requirement for advanced engineering or technical degrees. Candidates with extraordinary ability or significant international recognition may also qualify for the O-1A. Multinational professionals transferring into an Illinois director role from an overseas office often pursue the L-1A intracompany transferee visa.
Which cities in Illinois have the most engineering director sponsorship jobs?
Chicago and its northern suburbs, particularly the I-90 corridor through Schaumburg, Rosemont, and Hoffman Estates, account for the large majority of engineering director sponsorship activity in Illinois. Schaumburg is home to Motorola Solutions and Zebra Technologies headquarters. Peoria draws director-level engineering roles through Caterpillar's global operations, while the Champaign-Urbana area has emerging opportunities tied to the University of Illinois research and startup ecosystem.
How to find engineering director visa sponsorship jobs in Illinois?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for engineering director roles in Illinois without sifting through positions that don't offer sponsorship. You can narrow results by location, role type, and visa category. Because director-level roles move quickly and sponsorship requirements can vary by employer, checking Migrate Mate regularly and setting up alerts for Illinois engineering director openings gives you the best visibility into active opportunities.
Are there state-specific considerations for engineering directors pursuing visa sponsorship in Illinois?
Illinois follows federal prevailing wage requirements for H-1B petitions, and engineering director roles typically fall into higher wage levels given the seniority and scope of the position. The state's strong manufacturing and technology sectors mean that many sponsoring employers have established immigration programs and experienced legal teams, which can streamline the process. Illinois also has no state-level restrictions on visa sponsorship that differ from federal requirements.
What is the prevailing wage for sponsored engineering director jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.