Vice President, Data Solutions – AI

Kemper

. Lead the enterprise strategy, development, and delivery of data, analytics, artificial intelligence, and intelligent automation solutions .

Posted 10/16/2026full-timeRemote • United StatesLead💰 $225,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading enterprise data engineering, cloud data platforms, and AI strategy development, with a strong focus on data governance, regulatory compliance, and operational efficiency. Proven ability to translate data investments into scalable business solutions and measurable outcomes.

Highest-signal resume keywords

Enterprise Data EngineeringCloud Data PlatformsAI Strategy DevelopmentData GovernanceRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureMachine LearningGenerative AIIntelligent AutomationData Quality ManagementPredictive InsightsData-Driven Decision-MakingData SecurityMaster Data ManagementPerformance Measures

Soft Skills

LeadershipStrategic ThinkingCollaborationCommunicationProblem-Solving

Industry Keywords

InsuranceFinancial ServicesRegulatory RequirementsTechnology Risk ManagementData Privacy

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead the enterprise strategy, development, and delivery of data, analytics, artificial intelligence, and intelligent automation solutions
Establish strategic roadmaps, investment priorities, and performance measures aligned with business objectives, regulatory requirements, and technology priorities
Lead enterprise data engineering, modern cloud data platforms, data architecture, and reusable data products
Establish data governance frameworks, standards, and accountability for data quality, security, privacy, metadata, lineage, and master data management
Partner with application teams to develop, implement, and adopt AI, machine learning, generative AI, and intelligent automation solutions
Establish responsible AI practices, governance, and operational controls
Advance enterprise analytics, self-service reporting, predictive insights, and data-driven decision-making
Partner with business and risk leaders to ensure regulatory compliance and trusted enterprise data
Drive measurable improvements in operational efficiency, productivity, customer experience, business growth, and financial outcomes

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Business, or a related field required
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
Must be able to work from a US-based home
Must be able to travel occasionally

Benefits

Comp & perks

Annual discretionary bonus
Equity
Medical benefits
Dental benefits
Vision benefits
Paid time off (PTO)
401(k)