Large

Indiana Farm Bureau Insurance has protected fellow Hoosiers for more than 85 years. Organized in 1934 by Indiana Farm Bureau, Inc., our family of companies has grown to include insurance products for auto, life, home, business and farm. Banking and other financial services and products are also available. 

With a home office in downtown Indianapolis and local offices in all 92 counties, Indiana Farm Bureau Insurance serves Hoosiers with more than 450 agents and nearly 1,200 employees, who live and work throughout the state. Our company is a leader in auto and homeowners insurance and the largest writer of farm insurance in the Hoosier state. 

Our mission is to support Indiana Farm Bureau, Inc. and its members by being the premier provider of insurance and financial products and services in the communities we serve. Our vision is to provide distinctive products, service and solutions that enhance the financial health of our clients and our company. 

Indiana Farm Bureau Insurance is committed to sharing our success with the communities we serve. We contribute talent, time and treasure to programs and sponsorships that advance our state and contribute to the social fabric in communities across Indiana. We concentrate on youth and agriculture, and we also support wellness, safety, and community services, as well as civic, economic and cultural programs. Our giving is enhanced by Farm Bureau family members who are personally committed to the causes addressed.

Finance

Indiana Farm Bureau Insurance

We provide financial security to our members. Our family protecting your family.

You need a related degree, 8-10 years in enterprise data architecture, expertise in Data Lakehouse, integration, data governance, cloud solutions, and strong communication skills.

You will design enterprise data architecture, lead transformation to SaaS, adopt modern technologies, ensure data quality, enforce governance, and collaborate with stakeholders on data initiatives.

Bachelors

Data

Indianapolis

We are looking for an experienced Enterprise Data Architect to:<ul><li>Be accountable for designing, developing, and maintaining the enterprise-wide data architecture, encompassing analytics, reporting, transactional, and operational data systems.</li><li>Lead the organization's data transformation initiatives, aligning with our shift towards a SaaS model and preparing our data infrastructure for the next 5-10 years.</li><li>Drive the adoption of modern data technologies, including Data Lake and Data Lakehouse architectures, moving beyond traditional data warehouse approaches.</li><li>Design and implement integration strategies and event-driven architectures to connect distributed applications and ensure data quality and effectiveness across the enterprise.</li><li>Participate in the transition of transactional operations away from mainframe systems to more agile and scalable solutions.</li><li>Develop strategies to prepare our data ecosystem for self-service analytics and advanced AI/ML/GenAI applications.</li><li>Establish and enforce data discipline across the organization, including data governance, Master Data Management (MDM), and industry best practices.</li><li>Collaborate with business and IT stakeholders to align data architecture with overall business strategy and objectives.</li><li>Navigate complex organizational dynamics to drive data-related initiatives and transformations.</li></ul>Requirements for Success:<ul><li>Minimum of an associate’s degree in a related field, with a bachelor’s degree preferred.</li><li>Minimum of 8-10 years of relevant work experience in enterprise data architecture, with a strong focus on modern data technologies.</li><li>Extensive experience in designing and implementing Data Lake and Data Lakehouse architectures.</li><li>Proven expertise in integration architectures and event-driven systems, with a track record of implementing such solutions in complex enterprise environments.</li><li>Strong understanding of various integration patterns, messaging systems, and event streaming platforms.</li><li>Experience in designing and implementing data quality processes within integration and event-driven architectures.</li><li>Proven track record of leading enterprise-wide data transformation initiatives.</li><li>Deep understanding of data governance principles, MDM, and data management best practices.</li><li>Strong knowledge of cloud-based data solutions and SaaS architectures.</li><li>Experience in preparing data infrastructure for AI/ML and self-service analytics capabilities.</li><li>Excellent communication and presentation skills, with the ability to translate complex technical concepts for both technical and non-technical audiences.</li><li>Demonstrated ability to navigate organizational politics and build consensus among diverse stakeholders.</li><li>Proficiency in creating and maintaining architecture artifacts such as data flow diagrams, logical models, and physical data models.</li><li>Strong foundational background in data integration, data quality, and data security principles.</li><li>Experience with Agile methodologies and DevOps practices in the context of data architecture.</li><li>Ability to research and evaluate emerging data technologies and their potential application within the organization.</li><li>Skilled in providing strategic consultation to business and IT teams on data-related initiatives.</li></ul>The ideal candidate will combine deep technical expertise in data architecture, integration, and event-driven systems with strong leadership and communication skills. They will be capable of driving our organization's data strategy forward, ensuring seamless integration across distributed applications, and positioning us as a data-driven leader in the insurance industry.EducationRequired<ul><li>Associates or better</li></ul>Preferred<ul><li>Bachelors or better</li></ul>

We are looking for an experienced Enterprise Data Architect to:Be accountable for designing, developing, and maintaining the enterprise-wide data architecture, encompassing analytics, reporting, transactional, and operational data systems.Lead the organization's data transformation initiatives, aligning with our shift towards a SaaS model and preparing our data infrastructure for the next 5-10 years.Drive the adoption of modern data technologies, including Data Lake and Data Lakehouse architectures, moving beyond traditional data warehouse approaches.Design and implement integration strategies and event-driven architectures to connect distributed applications and ensure data quality and effectiveness across the enterprise.Participate in the transition of transactional operations away from mainframe systems to more agile and scalable solutions.Develop strategies to prepare our data ecosystem for self-service analytics and advanced AI/ML/GenAI applications.Establish and enforce data discipline across the organization, including data governance, Master Data Management (MDM), and industry best practices.Collaborate with business and IT stakeholders to align data architecture with overall business strategy and objectives.Navigate complex organizational dynamics to drive data-related initiatives and transformations.Requirements for Success:Minimum of an associate’s degree in a related field, with a bachelor’s degree preferred.Minimum of 8-10 years of relevant work experience in enterprise data architecture, with a strong focus on modern data technologies.Extensive experience in designing and implementing Data Lake and Data Lakehouse architectures.Proven expertise in integration architectures and event-driven systems, with a track record of implementing such solutions in complex enterprise environments.Strong understanding of various integration patterns, messaging systems, and event streaming platforms.Experience in designing and implementing data quality processes within integration and event-driven architectures.Proven track record of leading enterprise-wide data transformation initiatives.Deep understanding of data governance principles, MDM, and data management best practices.Strong knowledge of cloud-based data solutions and SaaS architectures.Experience in preparing data infrastructure for AI/ML and self-service analytics capabilities.Excellent communication and presentation skills, with the ability to translate complex technical concepts for both technical and non-technical audiences.Demonstrated ability to navigate organizational politics and build consensus among diverse stakeholders.Proficiency in creating and maintaining architecture artifacts such as data flow diagrams, logical models, and physical data models.Strong foundational background in data integration, data quality, and data security principles.Experience with Agile methodologies and DevOps practices in the context of data architecture.Ability to research and evaluate emerging data technologies and their potential application within the organization.Skilled in providing strategic consultation to business and IT teams on data-related initiatives.The ideal candidate will combine deep technical expertise in data architecture, integration, and event-driven systems with strong leadership and communication skills. They will be capable of driving our organization's data strategy forward, ensuring seamless integration across distributed applications, and positioning us as a data-driven leader in the insurance industry.EducationRequiredAssociates or betterPreferredBachelors or better

Enterprise Data Architect - Indiana Farm Bureau Insurance

<div>
 We are looking for an experienced Enterprise Data Architect to: 
 <ul> 
 <li>Be accountable for designing, developing, and maintaining the enterprise-wide data architecture, encompassing analytics, reporting, transactional, and operational data systems.</li> 
 <li>Lead the organization's data transformation initiatives, aligning with our shift towards a SaaS model and preparing our data infrastructure for the next 5-10 years.</li> 
 <li>Drive the adoption of modern data technologies, including Data Lake and Data Lakehouse architectures, moving beyond traditional data warehouse approaches.</li> 
 <li>Design and implement integration strategies and event-driven architectures to connect distributed applications and ensure data quality and effectiveness across the enterprise.</li> 
 <li>Participate in the transition of transactional operations away from mainframe systems to more agile and scalable solutions.</li> 
 <li>Develop strategies to prepare our data ecosystem for self-service analytics and advanced AI/ML/GenAI applications.</li> 
 <li>Establish and enforce data discipline across the organization, including data governance, Master Data Management (MDM), and industry best practices.</li> 
 <li>Collaborate with business and IT stakeholders to align data architecture with overall business strategy and objectives.</li> 
 <li>Navigate complex organizational dynamics to drive data-related initiatives and transformations.</li> 
 </ul> 
 Requirements for Success: 
 <ul> 
 <li>Minimum of an associate’s degree in a related field, with a bachelor’s degree preferred.</li> 
 <li>Minimum of 8-10 years of relevant work experience in enterprise data architecture, with a strong focus on modern data technologies.</li> 
 <li>Extensive experience in designing and implementing Data Lake and Data Lakehouse architectures.</li> 
 <li>Proven expertise in integration architectures and event-driven systems, with a track record of implementing such solutions in complex enterprise environments.</li> 
 <li>Strong understanding of various integration patterns, messaging systems, and event streaming platforms.</li> 
 <li>Experience in designing and implementing data quality processes within integration and event-driven architectures.</li> 
 <li>Proven track record of leading enterprise-wide data transformation initiatives.</li> 
 <li>Deep understanding of data governance principles, MDM, and data management best practices.</li> 
 <li>Strong knowledge of cloud-based data solutions and SaaS architectures.</li> 
 <li>Experience in preparing data infrastructure for AI/ML and self-service analytics capabilities.</li> 
 <li>Excellent communication and presentation skills, with the ability to translate complex technical concepts for both technical and non-technical audiences.</li> 
 <li>Demonstrated ability to navigate organizational politics and build consensus among diverse stakeholders.</li> 
 <li>Proficiency in creating and maintaining architecture artifacts such as data flow diagrams, logical models, and physical data models.</li> 
 <li>Strong foundational background in data integration, data quality, and data security principles.</li> 
 <li>Experience with Agile methodologies and DevOps practices in the context of data architecture.</li> 
 <li>Ability to research and evaluate emerging data technologies and their potential application within the organization.</li> 
 <li>Skilled in providing strategic consultation to business and IT teams on data-related initiatives.</li> 
 </ul> 
 The ideal candidate will combine deep technical expertise in data architecture, integration, and event-driven systems with strong leadership and communication skills. They will be capable of driving our organization's data strategy forward, ensuring seamless integration across distributed applications, and positioning us as a data-driven leader in the insurance industry.
 
 
 #HO 
 #LI-TH1
 
 <h4 class="jobSectionHeader"> Education</h4> Required
 <ul>
 <li> Associates or better</li>
 </ul> Preferred
 <ul>
 <li> Bachelors or better</li>
 </ul>
</div>

Indiana Farm Bureau Insurance

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