Senior Manager, AI Lead – Semantic Layer

Vaga não está no LinkedIn

🕒 Maio 26

🏈 Alabama, Arizona, +22 estados a mais – Remoto

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $168.300 - $224.300 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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AAA

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1902

🚗 Transporte

👥 B2C

Transport • B2C • Travel

AAA é uma federação de clubes automotivos afiliados, oferecendo diversos serviços e produtos relacionados a viagens, principalmente para seus membros. A organização oferece assistência em emergências rodoviárias, ferramentas de planejamento de viagens e descontos para membros tanto em âmbito nacional quanto internacional. Cada clube opera de forma independente dentro de sua própria área geográfica, atendendo seus membros locais enquanto adere aos padrões gerais da AAA. A AAA também vende produtos de viagem como mapas e guias, oferecendo recursos para auxiliar em viagens internacionais. A organização facilita uma rede onde os benefícios de associação, tais como descontos globais e serviços de emergência, são estendidos a membros internacionais que viajam nos Estados Unidos e vice-versa.

Descrição

• Define and drive the vision, strategy, and roadmap for enterprise semantic data and data connectivity across business domains • Partner with business and IT leaders to identify high-value opportunities to connect and standardize data across systems • Position the semantic data product as a product, not just a technical asset, with clear customers, outcomes, adoption goals, and success metrics • Define and evolve the product’s value proposition, ensuring alignment to business priorities and measurable outcomes • Act as the general manager of the product, balancing user needs, technical feasibility, strategic priorities, operational constraints, and business impact • Define and manage data products aligned to key business domains, including clear ownership, users, and success metrics • Define target users and use cases for data products, ensuring alignment to specific decisions, workflows, and business outcomes • Partner closely with business customers to ensure data products support critical decisions, workflows, and operational outcomes • Drive adoption and usage of shared data assets across business units • Identify and prioritize use cases where connected data unlocks measurable business value (e.g., improved decisioning, automation, personalization) • Ensure solutions are aligned to real-world workflows and deliver tangible outcomes • Lead the development and evolution of enterprise ontologies, taxonomies, and data models that represent key business concepts and relationships • Establish a scalable semantic layer that enables reuse across analytics, AI, and operational use cases • Ensure alignment of definitions across domains to reduce fragmentation and duplication • Support both structured and unstructured data integration, enabling downstream AI and analytics applications • Ensure data is discoverable, understandable, and usable across teams through consistent definitions and relationships • Partner deeply with business domains to understand workflows, decision points, and data dependencies, acting as a product owner for how data supports those functions • Own the end-to-end product lifecycle from discovery and definition to delivery and iteration • Define product requirements, success metrics, and release plans • Continuously refine the semantic data product based on user feedback and evolving business needs • Define critical metrics to measure adoption, usability, and impact of the semantic data product • Supervise usage and continuously improve accessibility and value delivery • Evangelize the value of connected semantic data across the organization • Partner with data governance teams to establish standards, definitions, and data quality expectations • Promote consistency, reusability, and scalability of data assets across the enterprise

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, Business, Data Science, or a related field; advanced degree preferred • 10 + years of experience in product management, including experience delivering data or data platform products • Demonstrable ability to lead others directly or indirectly, as demonstrated through 3+ years of leading teams, enterprise-wide programs, or large multi-functional programs • Consistent track record of owning products end-to-end, including strategy, roadmap, delivery, and performance measurement, ideally in insurance, financial services, or another regulated industry • Direct experience developing or working with ontologies, semantic data models, or knowledge graphs, or defining and standardizing business entities and relationships across domains in an enterprise environment • Hands-on experience with enterprise data systems, data platforms, or data integration initiatives • Demonstrated ability to translate business concepts into structured data models and deliver data-driven products or platforms in partnership with technical teams • Strong understanding of data ecosystems, including how data is defined, governed, and connected across domains • Experience enabling AI/ML or analytics use cases through well-structured and connected data • Experience leading or mentoring product managers or cross-functional teams preferred

🏖️ Benefícios

• total compensation package • annual bonus eligibility for most roles • 401(k) with a company match