Enterprise Architect, Data & AI
$200kFull-time
Kforce has a client that is seeking an Enterprise Architect, Data & AI in Plano, TX. The Opportunity: The Enterprise Architect will bring strong cross-domain expertise, strategic thinking, and executive presence. This is not just a governance-focused role-you will serve as a strategic leader, facilitator, and trusted advisor who can influence senior stakeholders while remaining closely involved in execution. In this individual contributor role, you will operate in a fast-paced, mid-sized, and highly collaborative environment. You will partner across business and technology teams to drive enterprise-wide architecture initiatives that enable scalable data and AI modernization. Responsibilities:
- Drive enterprise architecture strategy across multiple business domains, ensuring alignment with overall organizational objectives
- Lead discussions with senior stakeholders, simplifying complex technical concepts and guiding decision-making
- Establish and standardize metadata practices across domains, enabling improved data discoverability, lineage, and governance
- Design and evolve enterprise semantic data models, including logical and conceptual models, ontologies, and domain definitions
- Collaborate with product, engineering, data, and AI teams to ensure data supports reporting, analytics, and AI-driven use cases
- Contribute to the development and improvement of next-generation AI capabilities and models
- Apply knowledge of machine learning operations (MLOps) to support deployment, management, and monitoring of AI solutions in production
- Actively participate in solution design and delivery with hands-on involvement, beyond governance activities
- Review and validate AI-generated outputs (e.g., code) for quality, accuracy, and efficiency
- Stay current with industry trends in data, AI, and enterprise architecture to inform strategic direction
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience
- 15+ years of experience in information technology
- Enterprise Architecture roles
- AI and machine learning architectures
- Data-focused AI tools and platforms
- Leading enterprise architecture initiatives
- Experience with enterprise metadata and data management tools (e.g., data cataloging, lineage, or modeling platforms)
- Strong experience with cloud-based data and AI services, particularly within a major public cloud platform
- Background supporting organizations within highly regulated or complex industry environments
Vacancy posted 5 days ago
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