SVP, Chief Technology Officer (CTO)

About this role

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, MissouriDetails
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 AI opportunities in partnership with business leaders.

Consult with business executives to redesign business processes that leverage AI rather than simply automating existing human workflows.

Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and Agentic AI capabilities.

Build and operate enterprise AI platforms supporting secure and scalable AI adoption.

Establish Responsible AI governance, model lifecycle management, and AI risk management.

Create repeatable frameworks for identifying, prioritizing, implementing, and scaling AI use cases across the enterprise.

Drive enterprise AI literacy through executive education, workforce training, change management, communications, and adoption programs.

Measure AI success through quantifiable business outcomes including productivity improvements, expense reduction, revenue growth, customer satisfaction, and operational efficiency.

Candidates must demonstrate a proven track record of leading enterprise AI implementations that progressed beyond pilot programs to production deployment with measurable business value.
Enterprise Architecture & Technology Innovation
Lead Enterprise Architecture to ensure technology investments create reusable enterprise capabilities rather than siloed solutions.
Drive innovation through:

Emerging technology evaluation

Technology incubation

Strategic partnerships

Cloud hyperscaler relationships

AI ecosystem partnerships

Technology standards and reference…