Manager AI Product and Data Architecture

Kforce has a client that is seeking a Manager AI Product and Data Architecture Manager in Tampa, FL. Duties Include:

• Leads strategy and execution for AI-powered product and data architecture across the insurance claims lifecycle
• Drives transformation of legacy systems into cloud-based, modular, and AI-enabled solutions
• Defines and delivers interoperable, configurable AI and data architectures
• Partners cross-functionally to enable data-driven innovation and intelligent decisioning
• Define and execute strategy for AI product architecture and data architecture frameworks
• Re-engineer high-value functionality from on-prem systems to cloud and hybrid environments
• Develop roadmaps for modernization, refactoring, and AI-driven transformation
• Establish best practices for AI product roadmapping, prioritization, and technical debt reduction
• Design and embed AI-driven decisioning into business processes and applications
• Lead alignment across product architecture, engineering, and implementation teams
• Plan and manage AI initiatives, including timelines, dependencies, and deliverables
• Design and manage AI integration architecture (interoperability, modularity, configurability)
• Define API strategies and scalable integrations across systems and applications
• Support deployment strategies across cloud/hybrid environments aligned to user needs
• Oversee the end-to-end AI product lifecycle, including documentation and roadmap visibility
• Identify and prioritize AI use cases aligned to business value and integration feasibility
• Partner with QA and engineering teams to ensure testing efficiency and automation
• Establish feedback loops to measure and optimize AI solution impact and adoption

• Define and maintain data reference architectures and models for analytics, AI, and data products
• Ensure data interoperability, integrity, and continuity across systems
• 10+ years of experience in AI model operationalization and enterprise integration
• 8+ years in product architecture, product management, and system interoperability
• Deep understanding of insurance and claims management domain
• Experience leading technology transformations and full AI solution lifecycle

• Machine learning/AI concepts and enterprise integration
• Cloud application architecture and deployment models
• API design and management
• Proven ability in roadmapping, prioritization frameworks, and backlog strategy
• Experience with composable architectures and highly configurable product models
• Background in implementation/adoption planning and documentation
• Familiarity with advanced analytics and self-service reporting tools

• Cloud & Data Platforms: Azure, AWS, Snowflake, Databricks
• AI Tools: Azure AI Foundry, Azure ML, Snowflake Cortex AI, Dataiku
• Programming: Python, R, SQL
• Integration: Azure API Management, Boomi, MuleSoft, Apigee