Enterprise Data Architect - Remote

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External candidates: In order for your application to be correctly processed please sign-in before you apply Internal candidates: Please go to Workday and click "Find Jobs" link under Career Thank you for considering opportunities with us! Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arkansas - Home Teleworkers, California - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more} Job Information CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work. We are actively hiring for an Enterprise Data Architect- Remote Your Role: CSAA Insurance Group is seeking a Principal Architect to serve as our Enterprise Data Architect, supporting the design and delivery of secure, scalable data and AI platforms across the enterprise. This role sits within the SVP Enterprise Architecture leadership team, with a dotted‑line partnership to Enterprise Data, and plays a critical hands‑on role in enabling advanced analytics and AI‑driven capabilities. The ideal candidate brings deep technical expertise and systems thinking to architect modern data platforms, integrate AI workloads, and embed security controls-bridging strategy and execution to ensure enterprise data is leveraged safely, effectively, and at scale. Your Work: Facilitating designs and building solutions across the enterprise, with a focus on evolving our technical capabilities in support of delivering business capabilities. Solutions are built in a highly collaborative environment, partnering with engineering, product, and program leaders. Leads and provides direction to Application Integration, Data, and Platform architecture vision for the enterprise Works on the most sophisticated projects and contributes to the overall strategic vision of the organization Integrates a broad range of ideas regarding technical and solution architecture, while developing strategies for migration toward the cloud architectural vision. Partners with business leaders to provide expert technical advice and influence strategic decision making Assess industry trends (business and technology) and appropriately position their subject areas. Provides thought leadership, creates strategies, and makes recommendations on a wide variety of complex issues having a significant and strategic impact on processes and the business. Creates, guides, and partners with other architects in creating and maintaining roadmaps that connect business strategies to capabilities and provide a milestone view of the cadence needed to move from the current state to the future state. Delivers a clear, pragmatic, approach with applicability to meet immediate business needs Demonstrates a strong ability to learn new information and systems quickly, works successfully in a highly matrixed organization effectively manage priorities, deliverables, and timelines with little need for escalation Demonstrates a strong bias for architecture principles balanced with tactical schedules, cost, and risks Leverage the appropriate mix of in-house and outsourced resources to protect intellectual property. Design and evolve modern data platforms (lakehouse, warehouse, streaming) across cloud environments. Enable AI/ML use cases by supporting data pipelines, feature engineering, and model integration. Embed security and governance controls into data pipelines and platforms. Architect integrations across Cloud platforms, Data platforms, and Enterprise systems. Define API and data access patterns for internal and external consumers. Establish standards for Data ingestion, Orchestration and pipeline management, and Observability and data quality. Ensure platforms support high-performance analytics and AI workloads. Implement lightweight but effective governance frameworks. Balance speed and contro

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