Data Engineer Lead - Data and AI

Progressive; Chicago (IL); Remote; USD 148,000 - 165,000; Full time

Benefits offered by this job

401(k) with company match up to 6%

Medical, dental & vision insurance

Wellness & mental health programs

Paid time off

Parental & family leave

Career development & tuition support

Onsite gym (at large locations)

Job summary

Progressive is seeking a Data & AI Lead within Commercial Lines Technology Group. You will shape data and AI capabilities, guiding architecture, integration, and scalable solutions across CLTG.

You will partner with business leaders, architects, and engineers to deliver advanced analytics, intelligent applications, and responsible AI practices. This remote US-based role requires a strong background in data architecture, AI-ready data foundations, and cross-functional leadership to drive

Qualifications

• Must have a Bachelor's degree or higher in IT or related field with 5+ years of software design/programming experience.
• In lieu of degree, 6+ years of related work experience may be accepted.

Responsibilities

• Define how data and AI capabilities are designed, integrated, and scaled across CLTG Services Platform.
• Partner with business leaders and engineers to deliver data-driven solutions enabling advanced analytics and AI applications.
• Champion best practices for data management, architecture, and responsible AI adoption.

Skills

Data architecture

AI-ready data foundations

Cross-functional leadership

Cloud platforms

Education

Bachelor's degree or higher in Information Technology or related field

6+ years related work experience in software design and development

Tools

Microsoft Azure AI

Azure OpenAI

Databricks

Microsoft Fabric

Amazon Bedrock

LLM APIs

Job description

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun.

As a data engineer data & AI Lead serving as a strategic technology partner for Commercial Lines Technology Group (CLTG) Services Platform, you'll help define how data and AI capabilities are designed, integrated, and scaled across CLTG. You'll partner with business leaders, architects, engineers, and enterprise technology teams to develop data-driven solutions that enable advanced analytics, artificial intelligence, and intelligent applications. In this role, you'll serve as a trusted advisor on the intersection of data, AI, and business capabilities. You'll help teams design modern data architectures, establish scalable data foundations, and incorporate AI capabilities into new and existing applications. You'll work closely with enterprise partners and business collaborators to identify opportunities, evaluate solution approaches, and guide implementation strategies that deliver measurable business value. You'll also champion best practices for data management, architecture, and responsible AI adoption while helping teams build resilient, scalable solutions that support current and future business needs. You'll influence technical direction, establish reusable patterns and frameworks, and help drive alignment across business and technology organizations.

This is remote position for U.S. based work only.

Must-have qualifications

• Bachelor's Degree or higher in an Information Technology discipline or related field of study and minimum of five years of work experience designing, programming, and supporting software programs or applications.
• In lieu of degree, minimum of six years related work experience designing, programming, and supporting software programs or applications may be accepted.

Preferred skills

• Experience designing and implementing modern data architectures and enterprise data platforms, including data lakes, data warehouses, streaming platforms, and cloud-native data solutions.
• Strong understanding of AI-ready data foundations, including data quality, retrieval-augmented generation, vector databases, metadata management, semantic models, data governance, and responsible AI practices.
• Experience integrating AI capabilities into enterprise applications, business processes, and customer experiences using technologies such as Microsoft Azure AI, Azure OpenAI, Microsoft Fabric, Databricks, Amazon Bedrock, enterprise LLM APIs, and modern cloud platforms.
• Ability to define enterprise data and AI strategies, data models, integration patterns, architectural standards, reusable frameworks, and reference architectures while balancing business needs, technical constraints, security, risk, and scalability.
• Strong consulting, communication, influencing, and cross-functional solution leadership skills, including experience evaluating and prioritizing data and AI use cases and aligning business, architecture, engineering, security, and governance teams around measurable outcomes.

Compensation

• $148,000 - $164,800/year
• Gainshare annual cash incentive payment up to 40% of your eligible earnings based on company performance

Benefits

• 401(k) with dollar-for-dollar company match up to 6%
• Medical, dental & vision, including free preventative care
• Wellness & mental health programs
• Health care flexible spending accounts, health savings accounts, & life insurance
• Paid time off, including volunteer time off
• Paid & unpaid sick leave where applicable, as well as short & long-term disability
• Parental & family leave; military leave & pay
• Diverse, inclusive & welcoming culture with Employee Resource Groups
• Career development & tuition assistance
• Onsite gym & healthcare at large locations
• Energage recognizes Progressive as a 2025 Top Workplace for: Innovation, Purposes & Values, Work-Life Flexibility, Compensation & Benefits, and Leadership.

Sponsorship for work authorization for foreign national candidates is not available for this position. Applicants must be authorized to work for any employer in the U.S. without the need or potential need, of current or future sponsorship for employment. Progressive does not hire candidates with (e.g., F-1 CPT, OPT, or STEM OPT, H-1B, O-1, E-3, TN) statuses for this role.

Equal Opportunity Employer