Description

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.

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Qualifications

Education

Required

• Associates or better

Preferred

• Bachelors or better

Job Category: Individual Contributor

Job Type: Full-Time

225 S East St

Indianapolis, IN, USA, 46202

ReqID: ENTER004699