Millennium Space Systems · 12 hours ago
Data and AI Platform Activation Senior Manager
The Boeing Company is currently seeking a Data and AI Platform Activation Senior Manager to join the team. This role is accountable for driving the strategic vision and enterprise-wide activation of Data and AI platform capabilities, partnering with IT and business units to ensure alignment with evolving business imperatives.
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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
Qualification
Required
Bachelor's degree or higher
10+ years of experience in data engineering or data platform development
7+ years of experience in platform activation, product management, or change management for enterprise technology adoption
5+ years of experience in MLOps/DevOps, cloud data platform development (e.g., AWS, Azure, GCP), and building scalable data solutions
5+ years of experience advising and engaging executives to develop Data & AI strategy and translate platform capabilities into measurable business value
3+ years of experience leading and delivering AI solutions and driving enterprise-wide activation, adoption, and enablement of complex Data & AI platforms in large matrixed organizations
3+ years of experience managing capability backlogs, prioritizing cross-functional teams, and overseeing PMO activities to ensure timely delivery and value realization
3+ years of experience driving change management, user onboarding, training, and enablement to accelerate adoption and foster a data-driven culture, including executive and business-unit engagement
3+ years of experience implementing modern data technologies (data fabric, virtualization, mesh, ontology/knowledge graph) and applying data governance, security, compliance, and ethical AI frameworks
3+ years of experience working in agile, cross-functional environments and collaborating with architecture, IT, data science, and product teams
Preferred
Master's degree in AI, ML, Data Science, or related field
Experience with emerging technologies such as data fabric, data virtualization, data mesh, ontology/knowledge graph and hybrid cloud data ecosystems
Experience in developing and executing training, marketing, and community engagement programs to drive technology adoption
Experience building and leading geographically distributed, high-performing teams focused on platform enablement and user success
Experience fostering innovation and continuous improvement in data and AI platform environments
Benefits
Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Programs that provide for both paid and unpaid time away from work
Company
Millennium Space Systems
Millennium Space Systems, a provider of agile, flight-proven small-satellite solutions.
Funding
Current Stage
Late StageTotal Funding
unknown2018-08-16Acquired
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