Senior Manager, Data, Analytics, AI/ML Platforms

Vaga não está no LinkedIn

🕒 Setembro 22

🦌 Connecticut – Remoto

🦌 Connecticut – Remote

💵 $132.400 - $251.600 / ano

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

👻 Score fantasma 6%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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RTX

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2020

🏭 Manufatura

💼 Consultoria

📦 Logística

Manufacturing • Consulting • Logistics

A RTX é uma empresa globalmente reconhecida nos setores aeroespacial e de defesa, dedicada a tecnologias transformadoras e inovações marcantes. Ela opera por meio de diversos negócios, incluindo Collins Aerospace, Pratt & Whitney e Raytheon, com foco em voo sustentável e conectado, além de sistemas de defesa mais inteligentes. A RTX está comprometida com a diversidade, equidade e inclusão em toda a empresa e visa resolver os problemas mais complexos do mundo com tecnologia de ponta e talento. Além disso, a RTX está envolvida em projetos significativos, como a atualização do Núcleo do Motor F135 e o desenvolvimento de sistemas de defesa contra mísseis. A empresa enfatiza a responsabilidade corporativa e práticas sustentáveis.

Descrição

• Define the long-term architecture for data, analytics, and AI/ML platforms aligned with enterprise digital strategy • Develop reference architectures, design patterns, and platform standards for cloud, Lakehouse, and AI ecosystems • Define and lead technology proof of concepts to validate architecture solutions • Provide thought leadership on modern architecture principles and technology modernization • Evaluate emerging technologies such as AI, knowledge graphs, real-time streaming, and ML Ops, and provide strategic recommendations • Drive continuous technology transformation to minimize technical debt • Architect end-to-end solutions spanning ingestion, transformation, governance, analytics, and ML operationalization • Lead architectural design for Databricks, Snowflake, Azure Data Services, SAP S/4 connectors, and enterprise knowledge graph/ontology platforms • Define patterns for real-time streaming, data virtualization, metadata frameworks, and multi-cloud integration • Ensure platform scalability, performance, redundancy, cost optimization, and security • Collaborate with Cybersecurity and Data Governance teams on data privacy, lineage, cataloging, and access control standards • Ensure compliance with government regulations, export control, and enterprise security policies • Provide architectural leadership across cross-functional engineering teams and strategic programs • Advise business executives, product owners, and technical stakeholders • Mentor and guide data engineers, architects, and analytics practitioners • Lead architecture governance forums and design reviews for major programs

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field with 10+ years of applicable work experience; OR an Advanced Degree with 7+ years of applicable work experience • 7+ years of experience in data engineering, data architecture, analytics, AI/ML, or related technical domains • 5+ years architecting cloud-native data platforms using Azure, AWS, or GCP • Deep experience with Databricks, Lakehouse architectures, and modern ELT/ETL tooling • Strong understanding of distributed systems, real-time data streaming, data governance, and API/Integration architectures • Demonstrated ability to design and implement enterprise-scale data architecture solutions • Strong stakeholder management, communication, and executive engagement skills • U.S. citizenship required; only U.S. citizens are authorized to access information under this program/contract • Preferred: experience with SAP S/4HANA integrations, manufacturing data, or aerospace & defense environments • Preferred: hands-on knowledge of AI/ML frameworks including MLflow, Feature Stores, RAG, and vector databases • Preferred: experience with knowledge graph/ontology platforms such as Kobai, Neo4j, or Databricks Graph technologies • Preferred: experience leading teams in Agile delivery environments • Preferred: ability to drive modernization, cloud migration, or digital transformation initiatives

🏖️ Benefícios

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Short-term disability • Long-term disability • 401(k) match • Flexible spending accounts • Flexible work schedules • Employee assistance program • Employee Scholar Program • Parental leave • Paid time off • Holidays • Annual short-term and/or long-term incentive compensation programs, depending on position level and collective-bargaining coverage • Employee referral award eligibility, subject to all eligibility requirements