Vice President, Data Solutions & AI

Kemper•Downers Grove, IL

22h•$225,000 - $275,000•Remote

About The Position

Kemper is seeking a Vice President, Data Solutions & AI to lead the enterprise strategy, development, and delivery of data, analytics, artificial intelligence, and intelligent automation solutions that drive measurable business outcomes. The role oversees enterprise data engineering, data products, governance, analytics enablement, and AI capabilities to improve operational efficiency, decision-making, customer experience, and business growth. This position is remote and can be performed from a US-based home. Occasional travel is required. The stated salary range is $225,000 to $275,000. The role is eligible for an annual discretionary bonus, equity, and Kemper benefits, including medical, dental, vision, PTO, and 401(k).

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Business, or a related field.
At least 10 years of experience in technology, data, analytics, or artificial intelligence, including significant executive leadership experience.
At least 8 years of 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 experience translating data and AI investments into scalable business solutions, production adoption, and measurable operational or financial outcomes.
Strong understanding of data security, privacy, regulatory compliance, and technology risk management, preferably within insurance, financial services, or another regulated industry.
Demonstrated ability to develop enterprise technology strategies, manage complex portfolios and budgets, and lead cross-functional transformation initiatives.
Must be able to travel occasionally.

Nice To Haves

Master’s degree, MBA, or advanced technical degree.
Experience with data security, privacy, regulatory compliance, and technology risk management in insurance, financial services, or another regulated industry.

Responsibilities

Develop and execute enterprise data, analytics, and AI strategies aligned with business objectives, regulatory requirements, and technology priorities; establish roadmaps, investment priorities, and performance measures.
Lead enterprise data engineering, modern cloud data platforms, data architecture, and reusable data products, delivering scalable, secure, and integrated data solutions.
Establish enterprise data governance frameworks and standards for data quality, security, privacy, metadata, lineage, and master data management; partner with business and risk leaders on regulatory compliance and trusted data.
Partner with application teams to develop, implement, and adopt enterprise AI, machine learning, generative AI, and intelligent automation solutions; establish responsible AI practices, governance, and operational controls.
Partner with business leaders to advance enterprise analytics, self-service reporting, predictive insights, and data-driven decision-making; promote consistent performance measures and reusable analytics capabilities.