Enterprise Architect – Data, AI
About The Position
It's an exciting time to join Fisher Investments! We're continuing to invest in the future of our firm's technology and information security. Our business is growing internationally, which emphasizes the need to build an unparalleled global team that inspires future scale through strategic solutions, innovation, mentoring, and tight knit teamwork. The Enterprise Architect will bring strong cross‑domain expertise, strategic thinking, and executive presence. This is not just a governance‑only role. You will BE a strategic leader, facilitator, and a diplomat—someone who can influence CXO‑level stakeholders and remain deeply involved in execution. You will work across domains to lead enterprise‑wide architecture decisions that prepare us for scalable data and AI modernization. In an individual contributor role, you will work in a fast‑moving, mid‑size, highly collaborative environment. You will report to the Vice President, Enterprise Architecture and Standards.
Requirements
- 15+ years of experience in IT
- 5+ years of experience: In an Enterprise Architect role
- 5+ years of experience: AI and ML Architectures
- 2+ years of experience: Data-focused A1 tools
- 2+ years of experience: Lead Enterprise Architecture initiatives
- 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
- Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent experience through work experience
Responsibilities
- 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 delivery—not just governance—with 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.
Benefits
- 100% paid medical, dental and vision premiums for you and your qualifying dependents
- A 50% 401(k) match, up to the IRS maximum
- 20 days of PTO, plus 10 paid holidays
- Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care
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What This Job Offers
Job Type
Full-time
Career Level
Senior
