AI & Data Semantics Lead

Job#: 3023612

Job Description:

Job Description
Questions that must be answered and submitted with resume so that manager may review

• Tell me about a time you had to define or clarify a business concept that multiple teams were using differently. What steps did you take, and what artifact did you ultimately produce?
• Describe a data catalog, business glossary, or taxonomy you personally built or curated. What problem was it solving, and how did you know it was successful?
• Tell me about a time when unclear data definitions caused downstream issues (analytics, automation, models, or reporting). How did you fix it, and what changed afterward?

Role Summary

We are seeking an AI & Data Semantics Lead to accelerate our LLM and AI model teams by serving as the critical bridge between business stakeholders, data products, and technical AI teams. This role is responsible for translating complex technical data assets into clear, governed, business-understandable semantics that can be safely and effectively leveraged by AI models. The ideal candidate is exceptionally strong in business analysis, comfortable working in enterprise data catalog environments, and experienced in building taxonomies, business glossaries, and semantic layers that scale across teams and use cases. This role will directly support the success of agentic capabilities, AI use cases, and data product adoption by ensuring models understand what data means, not just where it lives.
Key Responsibilities
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.

Required Qualifications

• 7+ years of experience in business analysis, data analysis, or data product roles
• Demonstrated experience working in a data catalog or metadata management platform (e.g., Alation or equivalent)
• Hands-on experience building:
  • Business glossaries
  • Taxonomies / classification models
  • Semantic layers or conceptual data models
• Strong ability to translate technical data assets into business language
• Proven experience partnering with technical teams (data engineering, analytics, AI/ML)
• Excellent facilitation, documentation, and stakeholder communication skills

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.