Senior Manager, Data, Analytics & AI/ML Platforms

Job not on LinkedIn

🔥 18 hours ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $132.4k - $251.6k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🎖️ Defense

🏭 Manufacturing

💰 $200k Grant - RTX on 2024-11

Aerospace • Defense • Manufacturing

RTX is a multinational aerospace and defense company that brings together aviation and defense businesses—including Collins Aerospace, Pratt & Whitney and Raytheon—to design, manufacture and service aircraft engines, auxiliary power units, integrated aerospace systems and defense solutions. The company focuses on advancing technologies that power flight, strengthen national security and support government and commercial customers worldwide, with a global presence across the Americas, Asia-Pacific, Europe, the Middle East and Africa. RTX emphasizes engineering, manufacturing, and research to solve complex technical challenges for aviation and defense.

📋 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 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

🎯 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 • 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

🏖️ 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 • Potential annual short-term incentive compensation • Potential annual long-term incentive compensation • Employee referral award eligibility