Senior Manager, Artificial Intelligence

Boeing•Huntsville, AL

About The Position

Senior Manager, Artificial Intelligence Company: The Boeing Company The Boeing Company is currently seeking a Senior Manager, Artificial Intelligence (AI), to join the Boeing AI Applications & Innovations organization in Huntsville, AL. This team designs, develops, deploys, and maintains AI-enabled systems to meet business needs. This position will focus on supporting the development of AI-enabled systems which drive engineering productivity and innovation, as well as impact production, products, and services. At Boeing, we accelerate the adoption of artificial intelligence across our product and service portfolios. To support this priority, we seek a Senior Software Manager, Artificial Intelligence, to ensure our technical capabilities align tightly with customer needs. In this role, you will lead a geographically distributed engineering team to design, develop, and deploy AI-enabled systems that drive improvements in productivity, products, services, and production operations. You will also expedite the transition of research and development prototypes into validated products, services, and production-grade systems. Finally, you will recruit, mentor, and develop talent across and partner closely with globally distributed teams to establish scalable workflows that support sustained delivery and operational excellence. Find your future with us. At The Boeing Company, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company built on shared values. We’re committed to fostering an environment for every teammate that’s welcoming, engaging, respectful and inclusive, with great opportunity for professional growth.

Requirements

Bachelor of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science or engineering
Ability to Obtain U.S. Secret Security Clearance
10+ years managing technical teams involved in AI and/or software development
10+ years in aviation and/or aerospace and defense sector
5+ years using modern software development methodologies
5+ years using Agile software development methodologies

Nice To Haves

5+ years managing AI development teams
Advanced degree in engineering, AI, data science, or related field
Active U.S. Secret Security Clearance
Expertise in product life cycles specific to aviation and aerospace systems, from concept through disposal
Experience working across engineering disciplines, including hardware, systems, mechanical, and industrial engineering
Experience with Scaled Agile Framework (SAFe) and/or serving as an Agile scrum master or Release Train Engineer (RTE). Certifications a plus.
Understand maintenance, retrofit, and sustainment processes for complex systems
Design and oversee test programs using methods such as design of experiments, formal test-plan development, and robust verification and validation practices.

Responsibilities

Lead end-to-end product development for AI-enabled systems, ensuring technical execution, cross-functional alignment, and adherence to principled AI practices.
Lead teams that design, develop, deploy, maintain, and sustain AI-enabled systems and products.
Supervise onsite, distributed, and remote engineering teams, optimizing collaboration and productivity across locations.
Oversee portfolio planning and coordinate closely with Technical Product Managers to align priorities, roadmaps, and delivery outcomes.
Provide project leadership, including scheduling, resource allocation, risk management, and milestone accountability.
Apply Agile development methodologies to enable iterative delivery, rapid feedback cycles, and continuous improvement.
Drive innovation by challenging current practices and applying creative, evidence-based solutions to complex problems.
Define AI product strategy and frame problems to deliver measurable business and operational impact.
Promote data literacy and apply data-product thinking to ensure robust data pipelines, feature engineering, and lifecycle management.
Implement model-driven development grounded in machine learning fundamentals, reproducibility, and performance validation.
Apply human-centered design principles to ensure usability, adoption, and effective integration with workflows.
Champion responsible for AI practices and governance, including fairness, transparency, explainability, and regulatory compliance.
Ensure adherence to appropriate standards, processes, procedures, and tools throughout the system development life cycle.
Lead the transition of research and development outputs into products, services, and production systems, ensuring technical integrity, compliance, and operational scalability.
Lead transitions from prototype to production, defining clear handoffs, validation criteria, and acceptance gates.
Build and maintain strong relationships and partnerships with customers, stakeholders, peers, partners, and direct reports.
Collaborate with government research agencies (e.g., DARPA, ARL, ONR), government regulatory agencies (e.g., FAA, EASA) and external research partners to align technical objectives, deliverables, and compliance requirements.
Lead university partnership initiatives.
Employ systems thinking to design resilient architectures, identify systemic risks, and ensure interoperability with existing platforms and production environments.
Drive innovation by introducing practices and solutions that extend beyond current approaches, using creative, evidence-based methods.
Coordinate with international teams to achieve shared business objectives and align on priorities.
Integrate global contributors into domestic team workflows to ensure seamless collaboration, knowledge transfer, and consistent delivery practices.
Foster a culture of partnership, inclusivity, and mutual accountability that empowers distributed teams to own outcomes.
Experiment with and adopt innovative collaboration models and technologies to maximize effectiveness of globally distributed teams.
Maintain continuous learning to remain current with emerging AI technologies, techniques, and industry best practices.
Lead change management initiatives to drive adoption, minimize disruption, and sustain improvements.
Apply business acumen in aviation, aerospace, and defense to align technical decisions with strategic and operational imperatives.
Prioritize customer needs and deliver products that meet the highest standards of safety and quality.
Communicate clearly and persuasively, both verbally and in writing, across all levels of the engineering organization, including executive leadership.
Manage budgeting and cost estimating using frameworks such as Earned Value Management, Manufacturing Estimate at Complete, and cost‑benefit analysis to inform investment and delivery decisions.
Manage and provide leadership to employees and mid-level managers engaged in AI-enabled system design, development, deployment, maintenance and sustainment.
Foster employee development, motivation, and performance management for both individual contributors and mid-level managers.
Acquire and cultivate AI talent and allocate staff to support organizational activities and initiatives.
Develop and execute integrated organizational plans, policies, and procedures aligned with business and the Boeing AI strategy, goals, and objectives and technology roadmap.