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:
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 architectures
Guide enterprise modernization initiatives while ensuring technology investments remain aligned with business strategy.
Executive Leadership & Governance
Build and lead high-performing organizations across:
Cloud & Platform Engineering
Enterprise Data Engineering
Enterprise Architecture
AI & Intelligent Automation
Technology Innovation
Establish a culture of engineering excellence, innovation, accountability, continuous learning, and business partnership.
Oversee technology investment planning, vendor strategy, technology risk, operational resiliency, regulatory compliance, and executive performance reporting.
Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline; Master's degree, MBA, or advanced technical degree preferred.
15+ years of progressive technology leadership with at least 5 years in executive leadership roles within large, regulated enterprises.
Deep expertise leading Cloud & Platform Engineering organizations supporting enterprise-scale digital capabilities.
Demonstrated success implementing cloud-native platforms utilizing Infrastructure as Code, Platform Engineering, DevSecOps, Kubernetes, observability, automation, and Site Reliability Engineering.
Extensive experience leading Enterprise Data Engineering organizations, including modern cloud data platforms and enterprise integration using batch, APIs, event-driven architectures, and streaming technologies.
Proven success delivering enterprise AI solutions that achieved measurable business outcomes through production implementation, organizational adoption, and business process transformation.
Demonstrated leadership in AI strategy, AI governance, responsible AI, enterprise AI platforms, AI literacy, organizational change management, and executive consulting.
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