Customer Identity Architect

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 :

The Enterprise Architect will develop data architecture across the organization, providing expertise, and resolving conflicts in data architecture projects by analyzing business needs and managing the quality of deliverables created. You will drive alignment on data architecture principles, foster cross-functional collaboration, and ensure that data capabilities are scalable and aligned with enterprise AI goals. You will report to the Vice President, Enterprise Architecture and Standards.

The Day-to-Day :

• Design and evolve enterprise-level semantic data models, including logical and conceptual models, ontologies, and domain definitions
• Partner with product, data, and engineering teams to define domain-driven data contracts that support AI, analytics, and operational needs
• Collaborate with governance, AI / ML, and metadata teams to support computational governance and automated metadata enrichment
• Evaluate AI-generated code for accuracy, performance, and clarity
• Build data architecture and applications that ensure reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data
• Lead the standardization of metadata practices across domains, ensuring discoverability, lineage, and governance
• Enable scalable and interoperable semantic layers across data platforms (e.g., Lakehouse, Knowledge Graphs, Data Warehouses)
• Provide strategic guidance on data modeling techniques (3NF, dimensional, Data Vault, RDF / OWL) and drive adoption of best practices
• Strong collaboration skills, working cross-functionally with data product owners, engineers, data scientists, and governance teams
• 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
• Extensive experience building big data pipelines

Your Qualifications :

Why Fisher Investments :

FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER