ESSENTIAL DUTIES AND RESPONSIBILITIES
Azure Data and AI Ecosystem:
Design, implement, and integrate Azure services such as Azure Data Fabric, Azure Data Factory, OneLake, Purview Unified Catalog, AI Foundry, Machine Learning, Cognitive Services, Power BI, Power Automate, and application services to deliver high quality data and AI products to our members.
Generate and spearhead the execution of a multi-year implementation roadmap for the Azure data and AI ecosystem that includes individual components and their integration to create a continuum to support AF’s AI-powered solutions.
Optimize the Azure data and AI ecosystem to iteratively support growing complexity and more sophisticated operations as new use cases and AI solutions are identified and delivered.
Ensure that Azure-based data and AI solutions include embedded metrics to understand performance and aid in maintenance and support activities.
Operate and administer AF’s data and AI Azure ecosystem to ensure that best practices are utilized and alignment of AF’s operating, security and compliance polices are observed.
Manage the Azure data and AI ecosystem costs, working with stakeholders to identify and set budgets for Azure services, and monitoring consumption and licensing for Azure data and AI products and services.
Orchestrate the utilization of Azure AI suite of products and services to support best practices in the development, testing, integration, and deployment of AI models and algorithms.
Coordinate with data engineers and teams, AI engineers and developers, application and infrastructure teams, and data governance and security teams to ensure that deployed AI-powered solutions are ready for hand off to support teams, ensuring knowledge transfer is adequate for the successful maintenance and support of AI solutions.
Identify and resolve technical issues related to cloud infrastructure and applications, providing timely support and solutions.
Technical Skills:
• In-depth knowledge of Azure data services (e.g., Azure Fabric, Azure Data Factory, OneLake, Data warehouse), AI services (AI Foundry, Azure Machine Learning, Azure Cognitive Services, etc.), Azure Application and Integration Services (API Management, Application Gateway, Power Automate).
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience with programming languages such as Python, R, or SQL, and familiarity with data visualization tools (e.g., Power BI).
• Strong knowledge of data governance, data security, and compliance practices.
• Experience with data catalogs and lineage plotting tools.
• Deep understanding of AI models lifecycles, from initial data sourcing to deployment and production model upkeep.
• Working knowledge and proficiency in the development of implementation and adoption plans for composable AI offerings, including documentation of configuration requirements.
Soft Skills:
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills to collaborate with cross-functional teams.
• Ability to lead projects and mentor junior staff.
• Auto Insurance claims industry experience preferred.
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