Senior Director, Semantic Data Platform

🕒 August 24

🇺🇸 United States – Remote

💵 $230.8k - $283.6k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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WEX

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏥 Healthcare

📦 Logistics

✈️ Travel

💰 $310M Post-IPO Debt on 2020-06

Healthcare • Logistics • Travel

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

📋 Description

• Define the technical vision, architecture, and multi-year roadmap for WEX's semantic data platform and next generation of Data as a Service • Build semantic business objects combining enterprise data, business context, relationships, metrics, derived attributes, rules, lineage, quality, and governance • Establish a scalable approach for creating semantic objects across WEX's different lines of business while maintaining consistent enterprise standards • Lead development of platform capabilities across semantic modeling, ontology, metadata, knowledge graphs, data quality, lineage, data contracts, and governance • Partner with business and product leaders to capture business meaning across databases, applications, workflows, documents, spreadsheets, policies, and institutional knowledge • Enable AI and agentic applications to discover, understand, reason over, and safely act on trusted enterprise data • Build reusable platform capabilities and developer experiences that accelerate creation of data products and AI experiences • Lead and develop an organization of engineers, architects, and senior technical leaders • Partner with Principal and Staff engineers to establish architectural standards and solve complex distributed data and platform problems • Drive adoption across engineering and business teams and deliver measurable customer and business outcomes

🎯 Requirements

• 15+ years of experience in software engineering, data engineering, distributed systems, data platforms, or related technology areas, including significant technical leadership experience • Experience leading engineering organizations responsible for large-scale data, platform, infrastructure, or developer capabilities • Deep understanding of modern data architecture, including large-scale data processing, streaming, lakehouse architectures, data products, and distributed systems • Deep understanding of semantic data technologies and industry direction • Direct experience building a semantic data layer strongly recommended • Ability to translate complex business concepts into scalable technical abstractions and reusable platform capabilities • Understanding of data quality, governance, lineage, security, privacy, and operational reliability • Experience building platforms adopted by multiple engineering teams, business domains, or product organizations • Strong architectural judgment and ability to evaluate tradeoffs • Ability to move between long-term strategy and detailed technical discussions • Ability to influence senior technical, product, and business leaders across organizational boundaries • Experience hiring, mentoring, and developing senior engineering talent and technical leaders • Strong communication skills for explaining complex technical concepts to engineering teams, business partners, and executive leadership • Preferred: experience building platforms supporting AI/ML, generative AI, RAG, or agentic applications • Preferred: experience with knowledge representation, semantic search, context engineering, graph technologies, or AI-ready enterprise data • Preferred: experience modernizing large enterprise data ecosystems with multiple business domains and legacy systems • Preferred: experience driving significant platform transformation from concept through enterprise adoption

🏖️ Benefits

• Health, dental and vision insurances • Retirement savings plan • Paid time off • Health savings account • Flexible spending accounts • Life insurance • Disability insurance • Tuition reimbursement • Quarterly or annual bonus eligibility for non-sales roles