Hybrid Senior Manager – Data and AI Platform Activation

at Boeing

• Job title: Senior Manager – Data and AI Platform Activation
• Job type: Full Time
• Experience level: Senior
• Salary: $174,250 - $251,850 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform
• Location requirements: Hybrid, Seattle, United States

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