Senior Manager, Data, Analytics, AI/ML Platforms

Job not on LinkedIn

🕒 September 22

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $132.4k - $251.6k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 3%

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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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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