About the Role
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, and Enterprise Architecture & Technology Innovation. The CTO is accountable for building and operating secure, scalable, cloud-native technology platforms that enable the business to innovate, modernize, and compete. A critical responsibility is ensuring Artificial Intelligence delivers measurable business value by partnering 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.
Responsibilities
- 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.
- 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, and 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.
- Define and lead the enterprise Data Engineering strategy supporting analytics, operational reporting, AI, and digital products.
- Manage modern cloud-based data platforms, enterprise data lakehouse architecture, data governance and metadata management, data quality and lineage, Master Data Management, and enterprise data security.
- Ensure enterprise data is trusted, governed, secure, reusable, and accessible to support business intelligence and AI initiatives.
- Develop and execute the enterprise AI strategy focused on measurable business value creation.
- 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.
- 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, and technology standards and reference architectures.
- Guide enterprise modernization initiatives while ensuring technology investments remain aligned with business strategy.
- Build and lead high-performing organizations across Cloud & Platform Engineering, Enterprise Data Engineering, Enterprise Architecture, AI & Intelligent Automation, and 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.
Requirements
- 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.
- Strong understanding of cloud security, enterprise architecture, technology governance, and regulatory environments within financial services or insurance.
- Exceptional executive communication skills with the ability to influence Boards of Directors, executive leadership teams, regulators, and strategic technology partners.
- Proven ability to attract, develop, and inspire world-class engineering and technology leaders while fostering a culture of innovation, accountability, and continuous improvement.
Skills
- Cloud & Platform Engineering
- Enterprise Data Engineering
- Artificial Intelligence & Intelligent Automation
- Enterprise Architecture & Technology Innovation
- Cloud infrastructure
- Developer platforms
- Data platforms
- AI platforms
- Integration capabilities
- Shared technology services
- 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
- Modern cloud-based data platforms
- Enterprise data lakehouse architecture
- Data governance and metadata management
- Data quality and lineage
- Master Data Management
- Enterprise data security
- Batch processing
- API-based integration
- Event-driven architectures
- Real-time streaming platforms
- Generative AI
- Machine Learning
- Intelligent Automation
- Agentic AI capabilities
- Responsible AI governance
- Model lifecycle management
- AI risk management
- Emerging technology evaluation
- Technology incubation
- Strategic partnerships
- Cloud hyperscaler relationships
- AI ecosystem partnerships
- Technology standards and reference architectures
- Cloud security
- Executive communication
Location
- 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
Work Type
- Remote
- Onsite
Experience Level
- 15+ years of progressive technology leadership
- 5 years in executive leadership roles
Education Level
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline
- Master’s degree, MBA, or advanced technical degree preferred
Salary/Compensations
- $250,000 to $350,000
Benefits
- Annual discretionary bonus
- Equity
- Medical
- Dental
- Vision
- PTO
- 401k
About the Company
- 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.
Equal Opportunity
- All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate.
- We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.
- Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles.
