Vice President, Data Solutions & AI

Kemper; United States; Remote; USD 225,000 - 275,000; Full time

Benefits offered by this job

Equity

Medical benefits

Dental benefits

Vision benefits

PTO

401k plan

Bonus eligibility

Job summary

Kemper is a leading insurer offering a remote, nationwide role for an executive-level leader in data, analytics, AI, and intelligent automation. You will shape enterprise strategy, governance, and data products to drive measurable outcomes, with travel as needed across the US.

Responsibilities include building scalable cloud data platforms, establishing governance, and partnering with business leaders to enable data-driven decisions and growth.

Qualifications

• 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 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
• This position is a remote role and can work from a US based home. The qualified candidate will need to be able to travel occasionally

Responsibilities

• Enterprise Data & AI Strategy: Develop and execute enterprise data, analytics, and AI strategies aligned with business objectives, regulatory requirements, and technology priorities.
• Data Engineering & Data Products: Lead enterprise data engineering, modern cloud data platforms, data architecture, and reusable data products.
• Data Governance & Quality: Establish enterprise data governance frameworks, standards, and accountability for data quality, security, privacy, metadata, lineage, and master data management.
• 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.
• Analytics & Business Enablement: Partner with business leaders to advance enterprise analytics, self-service reporting, predictive insights, and data-driven decision-making.

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Business, or a related field

Master’s degree, MBA, or advanced technical degree preferred

Job description

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 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
• This position is a remote role and can work from a US based home. The qualified candidate will need to be able to travel occasionally.

The range for this position is $225,000 to $275,000. Whendeterminingcandidate offers, we consider experience, skills, education, certifications, and geographic location among other factors.

This job is eligible for an annual discretionary bonus, equity and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.).

Kemper is proud to be an equal opportunity employer. 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.

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

#LI-AK1

#LI-Remote