Senior Manager - Software Engineering

Senior Manager - Software Engineering

Company:

The Boeing Company

Boeing Defense, Space and Security (BDS) is looking for an action-oriented leader to manage our Software Program as a part of the Data Analytics & Digital Integration (DA&DI) organization. This position is located in Seattle, WA or Arlington, VA or El Segundo, Ca or Ridley Park, PA or Saint Louis, MO.

We are seeking a Senior Manager of Software Engineering to lead and scale end-to-end software development across a portfolio of mission-critical platforms and applications. This leader will own the full software lifecycle from strategy and architecture to development, deployment, and operations while building a high-performing engineering organization.

This role requires a hands-on technical leader who can operate at both strategic and execution levels, drive engineering excellence, and deliver scalable, secure, and high-quality software systems.

 

Key Responsibilities 

I. Engineering Leadership & Operating Model

• Lead and scale high-performing engineering teams (platform, application, data, DevOps).

• Ensure tight alignment between business needs and engineering execution.

• Build a culture of accountability, speed, and engineering excellence.

• Own hiring, org design, and performance management across global teams (U.S. and international).

II. End-to-End Delivery Ownership

• Own the full SDLC across all systems.

• Drive predictable, high-quality delivery across programs.

• Strong focus on real, production-grade outcomes.

• Own system boundaries and data ownership.

• Strong focus on product-based development using modern agile practices.

III. Architecture & System Integration

• Define and enforce target architecture across multiple platforms (e.g., AWS, Palantir Foundry, SAP) for data, pipelines, storage, ontology, applications, and workflows.

• Build integrated, end-to-end user experiences, eliminate multi-app sprawl.

• Standardize APIs and service contracts, event-driven/data integration patterns, shared services and reusable components.

IV. Platform Engineering & DevOps

• Build a developer platform that enables rapid, consistent delivery: CI/CD pipelines, environment standardization (dev/test/prod), Infrastructure as Code, and Global DevSecOps

• Enable seamless development across AWS-native services, on-prem systems, and Palantir Foundry ecosystem.

• Improve developer productivity and cycle time through tooling and automation.

V. Quality, Reliability & SRE

• Establish non-negotiable standards for code quality, test coverage, and release stability.

• Implement SRE practices with SLAs/SLOs, monitoring, logging, tracing, and incident response and postmortems.

• Ensure systems are production-grade, not prototypes.

VI. Security, Compliance & Data Governance

• Enforce clear data ownership and access boundaries.

• Ensure compliance with ITAR / export control and enterprise security standards.

• Implement secure coding practices, role-based access control, and full auditability.

• Prevent uncontrolled vendor access to core systems.

VII. ConOps & Mission Workflow Integration

• Define and enforce end-to-end operational workflows (ConOps) from from data ingestion to analytics to decision to action.

• Ensure systems support real operational usage, not just technical capability: Real-time/near-real-time responsiveness where needed and role-based, intuitive interfaces.

• Build “command center” experiences as unified systems – not collections of tools.

• Define and track operational metrics such as time-to-decision, workflow completion, and user adoption.

• Establish feedback loops from users to engineering and development.

VIII. Data & AI Integration

• Ensure tight integration between data pipelines (AWS lakehouse), ontologies (Palantir Foundry) and applications.

• Support AI/GenAI use cases with reliable data access and scalable pipelines.

• Standardize how data, logic, and models interact across systems.

IX. Execution Discipline & Governance

• Implement lightweight but strict governance for architecture reviews, code standards, release controls.

• Drive transparency via metrics such as delivery timelines, system performance, and engineering productivity.

• Own escalation and risk