Enterprise Architect, Data and AI
Fisher Investments
Job Overview
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Job Description
Overview
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 Opportunity: Enterprise Architect, Data and AI
The Enterprise Architect, Data and AI 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.
The Day-to-Day:
- 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 strategic guidance on data modeling techniques (3NF, dimensional, Data Vault, RDF/OWL) and drive adoption of best practices
- 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
- Ensure scalable and interoperable semantic layers across data platforms (e.g., Lakehouse, Knowledge Graphs, Data Warehouses)
- Actively participate in design, discussions, and delivery—not just governance—with hands-on engagement
- Ensure data is structured and ready to support our AI initiatives.
- 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.
Your Qualifications:
- 10+ years of experience with Data architecture
- 5+ years of experience in an Enterprise Architect role
- 2+ years of experience:
- Data-focused A1 tools
- Lead Enterprise Architecture initiatives
- Experience optimizing data, CI/CD process and tools, test frameworks & practices
- Proficient in tools such as Purview, Unity catalog, Erwin, or other semantic/metadata platforms
- Experience working with Financial Services Industry
- Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent experience through work experience
Why Fisher Investments:
We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:
- 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
This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change.
Key skills/competency
- Data Architecture
- AI Modernization
- Semantic Data Models
- MLOps
- Data Governance
- Enterprise Architecture
- Financial Services
- Data Modeling Techniques
- Metadata Practices
- Strategic Leadership
How to Get Hired at Fisher Investments
- Research Fisher Investments' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume and cover letter to highlight experience in data architecture, AI, and financial services, aligning with the Enterprise Architect, Data and AI role.
- Showcase strategic impact: Prepare examples demonstrating your ability to lead enterprise-level architecture decisions, influence senior stakeholders, and drive execution.
- Master technical concepts: Be ready to discuss data modeling techniques, MLOps, metadata practices, and semantic data models relevant to Fisher Investments' technology stack.
- Highlight problem-solving: During interviews, emphasize your structured problem-solving approach and experience in evolving scalable data and AI solutions.
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