IT Data & Integration Delivery Consultant V

We are looking for an experienced IT Data & Integration Delivery Consultant V to support advanced data engineering, analytics, and AI solution delivery for insurance-focused initiatives in Sun Prairie, Wisconsin. This Contract position is ideal for a hands-on specialist who can turn complex business needs into scalable data pipelines, production-ready machine learning assets, and secure generative AI applications. The role combines deep technical development with practical collaboration across engineering, analytics, and business teams to deliver reliable, high-quality solutions in a cloud-based environment.

Responsibilities:

• Create and maintain robust data pipelines and reusable data products using Python, SQL, Spark-based processing, and modern cloud data platforms.
• Examine complex insurance data to uncover trends, outliers, and actionable insights that support business and operational decision-making.
• Develop ingestion, transformation, and validation workflows that bring together structured and unstructured information from databases, APIs, files, and enterprise systems.
• Partner with cross-functional stakeholders to convert business challenges into analytics, machine learning, or generative AI solutions aligned with enterprise goals.
• Build, deploy, and monitor machine learning models, ensuring dependable performance, maintainability, and readiness for production use.
• Design enterprise generative AI capabilities such as retrieval-augmented experiences, document intelligence, summarization, classification, and conversational tools.
• Implement secure and governed AI integrations that connect enterprise data sources with large language model applications and reusable service components.
• Improve platform reliability, scalability, and cost efficiency through performance tuning, automation, observability, and engineering best practices.
• Uphold standards for documentation, data quality, security, compliance, metadata, and operational support throughout the solution lifecycle.
• Demonstrated experience delivering data engineering and integration solutions in cloud-based environments using Python, SQL, and large-scale data processing tools.
• Strong background working with databases, analytics workflows, and data modeling across diverse structured and unstructured data sources.
• Hands-on knowledge of machine learning development, including model evaluation, deployment, and ongoing production monitoring.
• Experience designing or supporting generative AI applications, including prompt design, retrieval approaches, vector-based search, and API integration.
• Familiarity with engineering practices related to automation, code quality, documentation, security, and operational reliability.
• Ability to work effectively with insurance-related data and business processes, including compliance and quality-focused requirements.
• Strong analytical and problem-solving skills with the ability to translate business objectives into technical implementation plans.