Vice President, Data Solutions & AI

Location(s)
Alpharetta, Georgia, Alpharetta, Georgia, Birmingham, Alabama, Chicago, Illinois, Dallas, Texas, Downers Grove, Illinois, Jacksonville, Florida, Montgomery, Alabama, Remote-AL, Remote-AR, Remote-CT, Remote-DE, Remote-FL, Remote-GA, Remote-IA, Remote-IN, Remote-KY, Remote-MA, Remote-MD, Remote-ME, Remote-MI, Remote-MN, Remote-MO, Remote-MS, Remote-NC {+ 11 more}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.

Position Summary Responsible for leading the enterprise strategy, development, and delivery of data, analytics, artificial intelligence, and intelligent automation solutions that drive measurable business outcomes. Oversee enterprise data engineering, data products, governance, analytics enablement, and AI capabilities to improve operational efficiency, decision-making, customer experience, and business growth.

Position Responsibilities Enterprise Data & AI Strategy:
Develop and execute enterprise data, analytics, and AI strategies aligned with business objectives, regulatory requirements, and technology priorities. Establish strategic roadmaps, investment priorities, and performance measures that deliver measurable business value.

Data Engineering & Data Products:
Lead enterprise data engineering, modern cloud data platforms, data architecture, and reusable data products. Drive scalable, secure, and integrated data solutions that support business operations, analytics, digital capabilities, and AI adoption.

Data Governance & Quality:
Establish enterprise data governance frameworks, standards, and accountability for data quality, security, privacy, metadata, lineage, and master data management. Partner with business and risk leaders to ensure regulatory compliance and trusted enterprise data.

Artificial Intelligence & Intelligent Automation:
Partner with application teams on the development, implementation, and adoption of enterprise AI, machine learning, generative AI, and intelligent automation solutions. Establish responsible AI practices, governance, and operational controls while driving measurable improvements in productivity, efficiency, and business performance.

Analytics & Business Enablement:
Partner with business leaders to advance enterprise analytics, self-service reporting, predictive insights, and data-driven decision-making. Promote consistent performance measures, reusable analytics capabilities, and solutions that improve business outcomes.

Position Qualifications Education
· Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Business, or a related field required.
· Master's degree, MBA, or advanced technical degree preferred.

Experience
· At least 10 years’ experience in technology, data, analytics, or artificial intelligence, including significant executive leadership experience
· At least 8 years’ experience leading and developing teams
· Demonstrated experience leading enterprise data engineering, cloud data platforms, data architecture, governance, and data product development.
· Proven success developing and implementing enterprise AI strategies, including generative AI, machine learning, intelligent automation, and responsible AI governance.
· Extensive…