Senior Manager, Data, Analytics & AI/ML Platforms (Remote)

Date Posted: 2026-09-22 Country: United States of America Location: US-CT-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.  Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense. Our Pratt & Whitney Digital Technology team has an exciting new remote job opportunity for a Senior Manager, Data, Analytics & AI/ML Platforms . What You Will Do: The Senior Manager, Solutions Architect for Data, Analytics & AI/ML Platforms is a senior technical leader responsible for defining the end‑to‑end architecture of enterprise data platforms, advanced analytics solutions, and AI/ML capabilities. This role drives platform modernization across cloud, Lakehouse, and AI ecosystems. This leader combines deep technical expertise, enterprise systems thinking, and strong communication skills to guide development teams, influence business strategy, and ensure seamless integration across platforms such as Databricks, Azure,  AWS, SAP S/4, and emerging AI toolsets. The role functions as a key bridge between business, product, architecture, and Digital Technology organizations. Success requires thought leadership, architectural rigor, strong stakeholder engagement, and the ability to design scalable, secure, and high‑performing data solutions across the enterprise. Key Responsibilities: Enterprise Architecture & Strategy : - Define the long‑term architecture for data, analytics, and AI/ML platforms in alignment 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 ensure feasibility of architecture solutions. - Provide strong thought leadership in pursuit of modern architecture principles and technology modernization. - Evaluate emerging technologies and provide strategic recommendations (AI, knowledge graphs, real‑time streaming, ML Ops, etc.). - Drive continuous technology transformation to minimize technical debt. Solution & Platform Architecture : - Architect end‑to‑end solutions spanning ingestion, transformation, governance, analytics, and ML operationalization. - Lead architectural design for platforms such as 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. Governance, Security & Compliance : - Collaborate with Cybersecurity and Data Governance teams to enforce data privacy, lineage, cataloging, and access control standards. - Ensure compliance with government regulations, export control, and enterprise security policies. Leadership & Stakeholder Management : - Provide architectural leadership across cross‑functional engineering teams and strategic programs. - Serve as a trusted advisor to business executives, product owners, and technical stakeholders. - Mentor and guide data engineers, architects, and analytics practitioners across the organization. - Lead architecture governance forums and design reviews for major programs. Qualifications You Must Have: - 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 (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. Qualifications We Prefer: - Experience with SAP S/4HANA integrations, manufacturing data, or aerospace & defense environments. - Hands‑on knowledge of AI/ML frameworks (MLflow, Feature Stores, RAG, vector databases). - Experience with knowledge graph / ontology platforms (e.g., Kobai, Neo4j, Databricks Graph technologies). - Experience leading teams in Agile delivery environments. - Proven ability to drive modernization, cloud migration, or digital transformation initiatives. - Proven ability to drive modernization, cloud migration, or digital transformation initiatives. Learn More & Apply Now: Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.