Senior Enterprise Architect - Data & AI Strategy

Fisher Investments; Tampa (FL); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health premiums

401k match

PTO & holidays

Family leave benefits

Hybrid work option

Job summary

Fisher Investments in Tampa, FL seeks an Enterprise Architect to lead cross-domain architecture, influence CXO stakeholders, and drive scalable data and AI modernization with hands-on execution. You will collaborate with product, engineering, data, and AI teams to shape semantic data models and governance, enabling robust analytics and AI use cases across the organization.

This in-office role offers a pathway to hybrid arrangements based on tenure and performance, with strong benefits and career

Qualifications

• 10+ years of IT experience.
• 2+ years in an Enterprise Architect role with AI/data focus.
• Experience with data-focused AI tools and major metadata platforms.

Responsibilities

• Drive enterprise-level architecture across multiple domains aligned with strategy.
• Lead discussions with senior stakeholders and distill complex technical decisions.
• Standardize metadata practices for data discovery, lineage, and governance.
• Design semantic enterprise data models including ontologies and domain definitions.
• Collaborate with product, engineering, data, and AI teams to support analytics and AI use cases.
• Provide hands-on input and review AI model deployment and performance.
• Apply knowledge of MLOps workflows and tooling for production AI.
• Participate in design and delivery beyond governance.

Skills

IT leadership

Enterprise Architect

AI/ML architectures

Metadata tools

Azure AI services

Education

Bachelor’s degree in CS/IS/Engineering

Tools

Purview

Unity Catalog

Erwin

Job description

Fisher Investments in Tampa, FL seeks an Enterprise Architect to lead cross-domain architecture, influence CXO stakeholders, and drive scalable data and AI modernization with hands-on execution. You will collaborate with product, engineering, data, and AI teams to shape semantic data models and governance, enabling robust analytics and AI use cases across the organization.

This in-office role offers a pathway to hybrid arrangements based on tenure and performance, with strong benefits and career