What are the responsibilities and job description for the Manager AI Product and Data Architecture position at Kforce Inc?
Responsibilities
Kforce has a client that is seeking a Manager AI Product and Data Architecture Manager in Tampa, FL. Duties Include:
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Salary : $153,000 - $233,000