Senior Manager, Data, Analytics & AI/ML Platforms (Remote) at RTX in US-CT-REMOTE

Job description

• 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.

Responsibilities

• - 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.
• - 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.
• - 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.
• - 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.

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 (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.
• - 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.

Skills

Required

• Data engineering
• Data architecture
• Analytics
• AI/ML
• Databricks
• Lakehouse architectures
• ELT/ETL tooling
• Distributed systems
• Real-time data streaming
• Data governance
• API/Integration architectures
• Stakeholder management

Preferred

• SAP S/4HANA integrations
• Manufacturing data
• Aerospace & defense environments
• Agile delivery

Benefits

• Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, 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, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
• Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.
• This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
• RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
• The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.