Location(s)

Alpharetta, Georgia, Annapolis, Maryland, Birmingham, Alabama, Boston, Massachusetts, Buffalo, New York, Chicago, Illinois, Dallas, Texas, Des Moines, Iowa, Dover, Delaware, Downers Grove, Illinois, Harrisburg, Pennsylvania, Hartford, Connecticut, Indianapolis, Indiana, Jacksonville, Florida, Las Vegas, Nevada, Little Rock, Arkansas, Oklahoma City, Oklahoma, Phoenix, Arizona, Raleigh, North Carolina, Remote-GA, Remote-IA, Remote-IL, Remote-MI, Remote-NJ, St. Louis, Missouri

Details

Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises. 

The SVP, Chief Technology Officer (CTO) is the executive responsible for defining and executing the enterprise technology strategy through four strategic pillars:

• Cloud & Platform Engineering
• Enterprise Data Engineering
• Artificial Intelligence & Intelligent Automation
• Enterprise Architecture & Technology Innovation

The CTO is accountable for building and operating the secure, scalable, cloud-native technology platforms that enable the business to innovate, modernize, and compete. This includes enterprise cloud infrastructure, developer platforms, data platforms, AI platforms, integration capabilities, and shared technology services that support all business functions.

A critical responsibility of this role is ensuring Artificial Intelligence delivers measurable business value. The CTO partners with executive leadership to identify opportunities where AI can fundamentally redesign business processes, improve customer and employee experiences, accelerate decision-making, and create competitive advantage. Success is measured not by AI experimentation, but by enterprise adoption, business transformation, and quantifiable business outcomes.

The CTO works in partnership with the CIO to shape the long-term technology vision while ensuring technology investments improve enterprise agility, resiliency, operational efficiency, and innovation.

Key Responsibilities

Enterprise Technology Strategy

• Develop and execute the enterprise technology strategy aligned with business objectives and long-term growth.
• Establish technology roadmaps that modernize enterprise capabilities through cloud-native platforms, automation, data, and AI.
• Advise the organization on emerging technologies, technology investments, and innovation opportunities.
• Drive enterprise technology standards, governance, architecture, and technology lifecycle management.

Cloud & Platform Engineering

Lead the strategy, engineering, and operation of enterprise technology platforms, including:

• Public and hybrid cloud infrastructure
• Platform Engineering
• Kubernetes and container platforms
• Infrastructure as Code (IaC)
• DevSecOps and CI/CD platforms
• Site Reliability Engineering (SRE)
• Enterprise observability and monitoring
• Identity and shared platform services
• FinOps and cloud optimization

Build highly automated, resilient, secure, and scalable technology platforms that accelerate software delivery while improving operational excellence and reducing total cost of ownership.

Enterprise Data Engineering

Define and lead the enterprise Data Engineering strategy supporting analytics, operational reporting, AI, and digital products.

Responsibilities include:

• Modern cloud-based data platforms
• Enterprise data lakehouse architecture
• Data governance and metadata management
• Data quality and lineage
• Master Data Management
• Enterprise data security

Demonstrated expertise is required across multiple enterprise data integration patterns including:

• Batch processing
• API-based integration
• Event-driven architectures
• Real-time streaming platforms

Ensure enterprise data is trusted, governed, secure, reusable, and accessible to support business intelligence and AI initiatives.

Artificial Intelligence & Intelligent Automation

Develop and execute the enterprise AI strategy focused on measurable business value creation.

Responsibilities include:

• Identify high-value