AI Engineer responsible for developing AI - driven features and managing enterprise customer solutions. Collaborate across teams to build and scale AI systems for enterprise clients.
About the role
- Data and AI Platform Activation Senior Manager at Boeing collaborating with IT and business units for data-driven transformation. Leading activation lifecycle and fostering a data-driven culture across global teams.
Responsibilities
- Partner with IT, business units, and executive leadership to ensure Data and AI platform capabilities are tightly aligned with evolving business strategies and priorities
- Own the end-to-end activation lifecycle, including sales engineering, solution discovery, training, demos, change management, and user onboarding to maximize platform adoption and business impact
- Manage and prioritize the platform capability backlog, balancing business needs, technical feasibility, and resource allocation to deliver high-value solutions efficiently
- Orchestrate collaboration across architecture, product management, data science, IT, and business teams to ensure seamless delivery and integration of Data and AI platform capabilities
- Develop and execute change management strategies, including upskilling programs and community engagement, to empower users and foster a data-driven culture
- Define and track KPIs related to platform usage, adoption, and business value; provide transparent, actionable insights to executive stakeholders
- Collaborate with governance and security teams to embed data quality, privacy, and compliance standards into platform activation activities
- Champion emerging technologies and best practices such as Data Mesh, generative AI, and MLOps to continuously evolve platform capabilities and maintain Boeing’s competitive edge
Requirements
- Bachelor’s degree or higher
- 10+ years of experience in data engineering, data platform development, or related roles
- 7+ years of experience in data platform activation, product management, or related roles focused on enterprise technology adoption and change management
- 5+ years of experience in MLOPS, DEVOPS, data engineering, cloud data platform development such as AWS (Preferred), Azure or GCP
- 5+ years of experience working with executives developing Data and AI strategy
- 3+ years of experience leading and delivering AI solutions
- 3+ years of experience leading enterprise-wide activation and adoption of complex Data and AI platforms or technology solutions in large, matrixed organizations
- 3+ years of experience in business acumen with the ability to translate technical platform capabilities into measurable business value and strategic outcomes
- Experience managing and prioritizing capability backlogs, coordinating cross-functional teams, and overseeing PMO activities to ensure timely delivery and value realization
- Experience in driving change management, user onboarding, training, and enablement programs that accelerate adoption and foster a data-driven culture
- Experience engaging senior executives and diverse business units
- Experience working in agile, cross-functional environments and collaborating with architecture, IT, data science, and product teams
- Experience with data governance, security, compliance, and ethical AI frameworks
- Experience in implementing modern data technologies such as data fabric, data virtualization, data mesh, and ontology/knowledge graph
Benefits
- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid time off
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