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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI and data science teams to develop and deploy agentic AI capabilities while ensuring safety, quality, and governance. Proven ability to build cross-functional relationships and influence stakeholders in a commercial environment.
Highest-signal resume keywords
AI/ML Solution DeliveryLeadership ExperienceAI Safety and Governance FrameworksCloud Computing (Azure, AWS, GCP)Data Science and Analytics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Capability DevelopmentData ScienceMachine LearningProduction DeploymentAgentic AI ServicesSoftware Development ManagementRetrieval-Augmented Generation (RAG)Knowledge GraphsGraph-Based RetrievalAI/ML Services
Soft Skills
Cross-Functional Relationship BuildingStakeholder InfluenceTechnical Communication
Tools & Technologies
Azure DatabricksCloud Services
Certifications & Qualifications
Consent to Canadian Government Controlled Goods Program (CGP) Assessment
Industry Keywords
Aviation DomainCommercial EnvironmentGovernance Requirements
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoogle Cloud Platform
About the role
Key responsibilities & impact- Lead a platform capability development team of data scientists, AI engineers and other data professionals
- Develop and deploy agentic AI capabilities supporting commercial offerings
- Ensure the safety, quality and security of AI capabilities
- Lead delivery of reusable AI/ML services, components and tooling for commercial products and services
- Develop guardrails and evaluation frameworks in partnership with AI Governance leadership
- Help product teams adopt shared platform AI capabilities and meet safety, quality and governance requirements
- Build relationships with Boeing business units and functions including engineering, IT, cybersecurity, safety, quality and governance
- Represent Digital Services in AI initiatives and align portfolio delivery with enterprise requirements
- Establish technical strategies, priorities and delivery roadmaps with product and platform management
- Manage, coach and motivate employees and contractors across data science, AI engineering, data engineering and software development
- Recruit talent and support professional growth
- Guide capabilities from requirements through deployment and operation
- Maintain customer and stakeholder relationships and measure adoption, quality, reliability and business value
Requirements
What you’ll need- At least 1 year of experience in a leadership role OR completion of Boeing’s internal course “Exploring Leadership”
- 5+ years of experience delivering AI/ML, data science or analytics solutions in a commercial environment, including production deployment
- 1+ year of experience delivering agentic AI services or capabilities
- Ability to build cross-functional relationships, influence stakeholders and communicate technical decisions to technical and nontechnical audiences
- Consent to Canadian Government Controlled Goods Program (CGP) assessment
- Legally authorized to work in Canada
- Must not pose a risk for safeguarding of controlled goods
- Eligible to handle US export-controlled data
- Experience implementing AI safety, quality and governance frameworks in production environments
- Experience leading AI platform or enablement capabilities supporting multiple products or teams
- Experience collaborating across business units or enterprise functions in a large organization
- Experience with cloud computing and hosted cloud services such as Azure, AWS or GCP, particularly Azure Databricks
- Experience with retrieval-augmented generation (RAG), knowledge graphs or graph-based retrieval (GraphRAG)
- Experience in a software development management role
- Experience in the aviation domain
- Bachelor’s degree or higher in computer science or a related field, or equivalent experience (preferred)
Benefits
Comp & perks- Hybrid work arrangement combining remote and in-office work
- Relocation assistance is not a negotiable benefit for this position