Data and Artificial Intelligence Platform Architecture Senior Manager

at  Boeing

At Boeing, 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 where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Company is currently seeking a Data and Artificial Intelligence Platform Architecture Senior Manager to join the team in either Seattle, WA; Chicago, IL; El Segundo, CA; Hazelwood, MO; Mesa, AZ; North Charleston, SC; or Plano, TX.
Boeing is transforming its business and adopting a data centric culture and modernizing its suite of applications. This position will drive the transformation by collaborating and working closely with businesses, functions, Application Architects, Supplier Architects/Developers, Cloud Vendor Architects, and Information Technology (IT) Architects such as Security. The Architecture manager will be leading the team of Data and Cloud Architects/Developers and Supplier Architects/Developers building solutions that include system design, technology selection, solution design, process design, and execution. This position will also have the opportunity to collaborate with other common service functions, interact with the most innovative and diverse people around the globe.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):

• Bachelor’s degree or higher
• 10+ years of experience with web application architecture, Service Oriented Architecture (SOA) or cloud based development
• 10+ years of experience in hands-on software development including applications running in AWS, Azure, or GCP
• 10+ years of experience working with Cloud native development
• 5+ years of experience working in a cross functional environment with all levels in the business from individual contributors to executive leadership
• 1+ years of experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
• 1+ years of experience with data integration development and maintenance
• 1+ years of experience in application integration, APIs and Microservices
• 1+ years of experience with Information Technology architecture including cloud and data architecture in a large-scale, hybrid cloud and on-prem environment
• Experience training machine learning models in a cloud computing environment such as AWS, Google Cloud Platform, Microsoft Azure, etc. and fundamental knowledge in MLOps

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE):

• 5+ years of experience mentoring, coaching, guiding, and leading teams
• 3+ years of experience using planning tools to build roadmaps
• Experience leading cloud teams or architecture teams or similar

• Defines and builds the strategy for the data and analytics platforms both on prem and cloud and work with the business to ensure all the business requirements are met
• Drives simplification and consolidation of our data architecture and data systems – address tech debt, bring stability in critical systems
• Builds and develops a resilient foundation for collecting, storing, modelling, and analyzing massive data sets from multiple sources
• Leads activities to define requirements, design and verify robust data and cloud architecture for the data and analytics platforms and on prem platforms
• Leads the identification of design constraints and ensures architecture conforms to requirements
• Ensures architecture functions are incorporated into software development lifecycle and also ensures that the team leads the development and configuration management of architecture views and models
• Assesses feasibility of architecture solutions and alternatives and looks at the trends in industry and best practices and world class solutions
• Performs trade-off analyses
• Evaluates products to assess suitability for integration into delivery system environments
• Assesses impact of architectural decisions to product lifecycle
• Develops architecture and data/information management standards and strategies
• Implements governance structures and frameworks on the platforms including security of the platforms
• Coaches and mentors others