Enterprise Architect - Emerging Analytics

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

At Allstate’s Enterprise Architecture organization, we define the technology strategies, platforms, and standards that enable a data-driven enterprise. Our team partners across business and technology to modernize data platforms, accelerate cloud adoption, and advance analytics and AI capabilities that power smarter decisions across the company.

Defining and socializing the data analytic practices across the Allstate corporation. This role will provide strategic guidance for technical and business teams on ingestion, integration, data visualization, and advanced analytics including generative AI, ultimately enabling our business to advance. This role will focus on large scale data lake implementation and data lake house modernization through engagements that will focus on customer solutions such as data warehousing, business intelligence, and advanced analytics tools.

You'll work with senior leaders, engineers, and architects across the organization to build solutions that make enterprise-scale analytics and intelligence possible. You'll be expected to roll up your sleeves, develop prototypes, evaluate emerging technologies, and influence how the next generation of data and AI platforms are built across Allstate.

• Drive the evolution and data architecture for a scalable and secure data platform
• Work closely with business partners, architecture, security, and engineering teams to design and implement a modern data lake and lake house architecture
• Engage with strategic customers and ensure their future needs and vision are top of mind for a data-driven enterprise
• Oversee deployment of long-term strategic data products and infusing key data and analytics services in applicable areas of business and IT
• Build POC’s of cloud native microservices architecture for data with focus on IaaS, metadata driven frameworks and Dev Ops
• Design and guide practices for data models, data flows, and integration patterns for the data lake, lake house , and consumption data layers
• Support delivery leaders and engineers in building and managing conceptual, logical, and physical architecture
• Collaborate, design and provide hands‑on development of high-priority prototypes in a cloud platform and demonstrate value and feasibility of the solutions and architecture
• Be involved in all project phases and drive architecture initiatives
• Communication with senior and executive leadership on architecture initiatives
• Strong communicator individually, in groups and in presentations with a vision for how cloud data platforms can enable a better future powered by data

Bachelor’s degree or equivalent professional experience. Rich experience building POC’s with at least 1-2 successful adoptions across Enterprise. 10 to 15 years of experience in at least two IT disciplines such as data architecture, technical cloud architecture, analytics & data science, big data technologies, database management, data governance & security in a heterogeneous environment. 5+ years of hands‑on experience in implementation and performance tuning MPP (Massively Parallel Processing) databases (Oracle Exadata, Teradata, Netezza, Greenplum, etc.).

Hands‑on experience in lead roles architecting solutions at scale for cloud data platforms including experience with…