Senior Manager, Data, Analytics & AI/ML Platforms

Vaga não está no LinkedIn

🕒 Setembro 23

🦌 Connecticut – Remoto

🦌 Connecticut – Remote

💵 $132.400 - $251.600 / ano

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

👻 Score fantasma 5%

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

🚀 Aeroespacial

🎖️ Defesa

🏭 Manufatura

💰 $200.000 Grant - RTX em 2024-11

Aerospace • Defense • Manufacturing

A RTX é uma empresa multinacional do setor aeroespacial e de defesa que reúne negócios de aviação e defesa — incluindo Collins Aerospace, Pratt & Whitney e Raytheon — para projetar, fabricar e manter motores de aeronaves, unidades de potência auxiliares, sistemas aeroespaciais integrados e soluções de defesa. A empresa se concentra em avançar tecnologias que impulsionam o voo, fortalecem a segurança nacional e apoiam clientes governamentais e comerciais em todo o mundo, com presença global nas Américas, Ásia-Pacífico, Europa, Oriente Médio e África. A RTX enfatiza engenharia, manufatura e pesquisa para resolver desafios técnicos complexos para a aviação e defesa.

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 proofs of concept • Provide thought leadership on modern architecture principles and technology modernization • Evaluate emerging technologies including AI, knowledge graphs, real-time streaming, and MLOps • 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 privacy, lineage, cataloging, and access control standards • Ensure compliance with government regulations, export controls, and enterprise security policies • Provide architectural leadership across cross-functional engineering teams and strategic programs • Advise business executives, product owners, and technical stakeholders • Mentor 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 • 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, and Databricks Graph technologies • Preferred: Experience leading teams in Agile delivery environments • Preferred: Proven 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 • Potential annual short-term incentive compensation • Potential annual long-term incentive compensation • Employee referral award eligibility