Enterprise Architect Data, AI
Enterprise Architect Data, AI
L7
Occupations
Database ArchitectsComputer Systems Engineers/ArchitectsComputer and Information Systems ManagersIndustries
Computer Systems Design ServicesCustom Computer Programming ServicesPortfolio Management and Investment Advice- Drive enterprise?level architecture across multiple business domains, ensuring alignment with organizational strategy
- Lead discussions with senior stakeholders and bring clarity to complex technical decisions
- Lead the standardization of metadata practices across domains, ensuring discoverability, lineage, and governance
- Design and evolve enterprise-level semantic data models, including logical and conceptual models, ontologies, and domain definitions
- Partner with product, engineering, data, and AI teams to ensure data supports reporting, analytics, and AI use cases
- Provide feedback that directly shapes the next generation of AI models
- Knowledge of Machine Learning Operations (MLOps) workflows and tools for deploying, managing, and monitoring AI models in production
- Actively participate in design, discussions, and deliverynot just governancewith hands?on engagement
- Review AI-generated code to ensure it is accurate, efficient, and high quality.
- Stay current on AI and data trends to help the organization evolve.
- In an Enterprise Architect roleAI and ML Architectures
- Exposure with the following:
- Data-focused AI tools
- Proficient in tools such as Purview, Unity catalog, Erwin, or other semantic/metadata platforms
- Deep experience with Microsoft Azure and their AI and data services
- Experience working with Financial Services Industry
- Bachelors degree in computer science, Information Systems, Engineering, or equivalent experience through work experience
- Why Fisher Investments:
Level
ManagerL7
Location
Little Elm, TX
Occupation
Database Architects
Industry
Computer Systems Design Services
Posted
yesterday
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