Vice President, Data Solutions & AI
位于 Alpharetta,格鲁吉亚，阿尔法雷塔，格鲁治亚，伯明翰，阿拉巴马，芝加哥，伊利诺伊，达拉斯，德克萨斯州，唐纳斯格罗夫，伊利諾伊，杰克逊维尔，佛罗里达州，蒙特哥马里州，阿拉巴玛州，远程 AL,远程 AR,远程 CT,远程 DE,远程 FL,远程 GA,远程 IA,远程 IN,远程 KY,远程 MA,远程 MD,远程 ME,远程 MI,远程 MN,远程 MO,远程 MS,远程 NC {+ 11多}详情凯珀客户是国家领先的专业保险公司之一。我们的成功是我们每天生活中积极影响力的有才和多元化的直接反映。我们相信高绩效的文化，个人发展和专业挑战的宝贵机会以及健康的工作与生活平衡可以非常激励和生产力.Kemper 产品和服务对客户产生真正的影响，他们有独特不断变化的需求。通过加入我们的团队，你正在帮助为我们利益相关者提供一个能够实现承诺的经验。职位总结负责领导企业战略，数据开发和交付，分析，人工智能和智能自动化解决方案，从而推动可测量的商业成果。监督企业数据工程，数据产品，治理，分析启用和 AI 能力以提高运营效率，决策，客户体验和业务增长。职位责任企业数据&人工智能战略：与业务目标，法规要求和技术优先事项一致的企业数据，分析和 AI 战略开发和执行。制定可衡量的业务价值的战略路线图，投资优先事项和绩效措施。数据工程 & 数据产品：领导企业数据设计，现代云数据平台，数据架构和可重复使用的数据产品。推动可扩展，安全和集成的数据解决方案支持业务运营，分析，数字能力和人工智能采用。数据治理与质量：建立企业数据治理框架，标准以及对数据质量，安全性，隐私，元数据，血统和主数据管理的责任。与商业和风险领导人合作以确保监管合规和值得信赖的企业数据。人工智能和智能自动化：与应用团队合作开发，实施和采用企业人工智能，机器学习，生成人工智能和 i
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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. When determining candidate 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.
Originally posted on Himalayas