Data & AI Solutions Architect

DUTIES: Enterprise Data Architecture & AI Integration: Design and implement enterprise-scale data architectures, including data pipelines, integration patterns, and storage solutions, to enable the ingestion and processing of structured and unstructured datasets based on business, regulatory and project delivery requirements. Engineer scalable, high-performance data platforms by integrating diverse data sources across multiple disciplines, including architecture and building engineering, aviation, food and beverage, transportation, and water infrastructure. Develop and maintain technical integration frameworks and system interfaces that support machine learning (ML) workflows and large language model (LLM) development, ensuring data platforms are optimized for performance, scalability, and interoperability across enterprise systems supporting 1,400+ employees. Multidisciplinary Stakeholder Technical Liaison: Serve as a technical liaison between AEC (Architecture, Engineering, Construction) professionals and enterprise IT teams, supporting both internal initiatives and client-facing projects. Translate complex technical and programmatic requirements from engineers, planners, architects, and GIS specialists into scalable data models, schemas, and integration specifications. Design and implement data-sharing and analytics solutions for public-sector and private-sector clients within the AEC industry, ensuring that technical tools and data deliverables align with regulatory reporting needs, project specifications, and contractual obligations for large-scale infrastructure programs. AI Readiness & Advanced Data Governance: Design and operationalize enterprise data governance and stewardship frameworks to support responsible AI adoption across regulated infrastructure programs. Define and maintain data quality standards, metadata management practices, and classification policies governing the use of infrastructure, operational, and geospatial datasets. Applied Data Engineering & Analytics Development: Utilize advanced programming and computational toolsincluding Python, R, SQL, and ETL frameworksto build and validate automated data processing engines. Apply spatial analysis, geospatial modeling, and enterprise reporting techniques using GIS platforms (e.g., ArcGIS or QGIS) and business intelligence tools (e.g., Power BI) to evaluate data solution performance at enterprise scale. Perform system-level stress testing and benchmarking of AI models to ensure accuracy in predicting infrastructure performance and project outcomes. Strategic Risk Management & Roadmap Development: Engineer long-term data roadmaps and platform performance assessments to guide executive investment in AI technologies. Conduct technical risk evaluations regarding data security and system scalability across multiple disciplines, including architecture and building engineering, aviation, food and beverage, transportation, and water infrastructure. Prepare technical briefs for leadership on the feasibility of emerging data-integration technologies to support firm growth in regulated infrastructure markets. 100% remote position from any U.S. location; Report to Middleton, WI headquarters. REQUIRES: Masters degree (or foreign equivalent) in Business Analytics, Data Analytics, Information Systems or related field and Two (2) years of professional experience as Data Analyst or related, designing and implementing enterprise data integration and AI-enabled analytics platforms, within large architecture, engineering, and construction (AEC) consulting organization. OTHER SPECIAL SKILLS REQUIREMENTS: Above experience must include 2 years of each of the following: 1. Experience with Data and AI systems integration within large multidisciplinary Architecture, Engineering and Construction (AEC) consulting firm(s), including analytics tool development, data governance frameworks, and data quality controls. 2. Experience with Stakeholder-driven solution architecture. 3. Experience with Data-governance frameworks and AI-readiness standards. 4. Experience with interoperability design & platform certification. 5. Experience in Advanced validation using R, Python, SQL, ETL, ArcGIS/QGIS, Tableau, Power BI. 6. Experience with oversight of statistical modeling & spatial-intelligence pipelines. 100% remote position from any U.S. location; Report to Middleton, WI headquarters. Employer: Mead and Hunt, Inc. Job site: Middleton, WI - 100% remote position from any U.S. location; Report to Middleton, WI headquarters located at 2440 Deming Way, Middleton WI 53562 (Dane County). CONTACT INFORMATION: If interested in a Data & AI Solutions Architect position, please send email with resume/cover letter to: com c/o Kristen Berney.