AI & Data Semantics Lead
Jobs via Dice
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
Job Overview: AI & Data Semantics Lead
Dexian is seeking an AI & Data Semantics Lead to serve as a crucial bridge between business stakeholders, data products, and technical AI teams. This 100% remote role is pivotal in accelerating LLM and AI model development by translating complex technical data assets into clear, governed, business-understandable semantics. The ideal candidate will have strong business analysis skills, experience with enterprise data catalog environments, and expertise in building taxonomies, business glossaries, and scalable semantic layers. This role directly supports the success of agentic capabilities, AI use cases, and data product adoption by ensuring AI models accurately interpret data meaning.
LLM & AI Enablement
- Partner with LLM and AI model teams to define, document, and govern business meaning for data assets used in training, inference, and agentic workflows.
- Translate business concepts into structured semantic artifacts (business terms, classifications, relationships) consumable by AI systems.
- Support responsible AI by ensuring data assets have clear definitions, ownership, lineage context, and usage constraints.
Business Analysis & Stakeholder Engagement
- Lead discovery sessions with business stakeholders to extract domain knowledge and convert it into reusable semantic assets.
- Act as a trusted translator between business leaders, data product owners, engineers, and AI practitioners.
- Decompose ambiguous business questions into well-defined data concepts and analytical intent.
Metadata, Catalog & Taxonomy Development
- Build and maintain enterprise business glossaries, taxonomies, and classification frameworks within a data catalog environment.
- Curate and enrich technical assets with business context (descriptions, relationships, use cases, examples).
- Ensure semantic consistency across domains, data products, and AI use cases.
Data Product & Platform Alignment
- Align semantic definitions with data products, certified assets, and governed data sources.
- Partner with data governance, data quality, and lineage teams to ensure metadata completeness and trust.
- Contribute to standards and patterns for AI ready metadata and semantic modeling.
Key skills/competency
- Business Analysis
- Data Analysis
- Data Product Management
- Data Catalog
- Metadata Management
- Alation
- Business Glossaries
- Taxonomies
- Semantic Layers
- Conceptual Data Modeling
How to Get Hired at Jobs via Dice
- Research Dexian's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience in data semantics, AI enablement, and data catalog platforms like Alation, using keywords from the job description for the AI & Data Semantics Lead role.
- Showcase your portfolio: Prepare examples of taxonomies, business glossaries, or semantic models you've built or contributed to in previous data leadership roles.
- Practice behavioral questions: Be ready to discuss how you've translated complex data into business language or managed stakeholder expectations in data initiatives.
- Network strategically: Connect with Dexian employees and recruiters on LinkedIn to gain insights and express your interest in data and AI roles.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background