Knowledge Architecture & Automation Lead

Huntington National Bank•Cincinnati, OH

1d•Onsite

About The Position

The Knowledge Architecture & Automation Lead designs the enterprise knowledge architecture that enables automation, search, analytics, and AI. The role combines information architecture, metadata management, and solution design to create strategic, scalable approaches for capturing, organizing, enriching, and governing business knowledge. Success is measured by reducing manual effort, increasing metadata quality and reuse, and establishing knowledge structures that can be reliably consumed by people, applications, and AI systems. The role develops enterprise knowledge architecture strategy, standards, and roadmaps; defines requirements and patterns for metadata-related automation; and creates reusable knowledge assets such as taxonomies, ontologies, semantic models, and knowledge graphs. It works with business and technology teams to turn information management challenges into scalable automated solutions, develops prototypes and technical solutions, and evaluates emerging technologies that advance knowledge management, automation, and AI readiness.

Requirements

Bachelor’s degree in business intelligence, data science, computer science, engineering, or equivalent relevant work experience.
7+ years of related experience working with data, metadata, and reference data frameworks, and experience in metadata and/or data quality monitoring.
3+ years of experience leading colleagues or work efforts and managing toward deadlines.

Nice To Haves

Experience developing automated metadata harvesting, classification, lineage, catalog integration, or metadata enrichment solutions.
Proficiency with Python, SQL, APIs, scripting, and automation frameworks used to acquire, transform, and manage metadata.
Experience designing semantic models, taxonomies, ontologies, knowledge graphs, or other machine-readable knowledge structures.
Demonstrated ability to define architectural and technical requirements for metadata-driven automation, AI enablement, and knowledge management solutions.
Strong understanding of metadata management, information architecture, data governance, and enterprise architecture principles.

Responsibilities

Develop knowledge architecture strategy, business cases, roadmaps, and technology recommendations to advance enterprise metadata, automation, and AI capabilities.
Define architectural patterns, standards, and requirements for automated metadata harvesting, classification, enrichment, lineage, and catalog integration.
Develop and maintain taxonomies, ontologies, semantic models, knowledge graphs, and other reusable knowledge assets.
Partner with business and technology teams to translate information management challenges into scalable automated solutions.
Define requirements for metadata-driven workflows, automation services, AI capabilities, and semantic technologies.
Develop prototypes, scripts, and technical solutions to accelerate metadata acquisition, quality improvement, classification, and governance processes.
Evaluate and implement emerging technologies that improve enterprise knowledge management, automation, and AI readiness.
Lead enterprise knowledge architecture strategy, standards, and roadmaps.
Perform other duties as assigned.