
Senior Manager – Data and AI Platform Activation
Boeing
full-time
Posted on:
Location Type: Hybrid
Location: Seattle • Colorado, Illinois, Montana, Texas, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $174,250 - $251,850 per year
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud Platform
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata platform developmentMLOpsDevOpscloud data platform developmentAWSAzureGCPdata governancedata quality
Soft skills
change managementbusiness acumencollaborationleadershipcommunicationuser onboardingtrainingcommunity engagementstrategic thinkingproblem-solving
Certifications
Bachelor's degree or higher