The Boeing Company
TechnicalProductManager
“Technical Product Manager at The Boeing Company. Skills: Technical Product Manager, data architecture, analytics platforms, AI/ML enablement, GenAI capabilities. driving best practices for operational excellence. develop and mature the operations excellence product to drive GenAI capabilities in the future”
Industry & Context.
Translate business problems into data product requirements and future solution designs
Must meet U. S. export control compliance requirements., A “U. S. Person” as defined by 22 C. F. R. §120. 62 is required., Employer will not sponsor applicants for employment visa status.
What They're Looking For.
Must Have
5+ years’ experience in data architecture, analytics platforms, or AI/ML enablement, understanding of data lineage, metadata management, and data quality practices, Proven ability to drive adoption of data products in enterprise environments, Excellent communication and collaboration skills with both technical and business stakeholders
Nice to Have
Bachelor Degree, 9+ years’ experience in data architecture, analytics platforms, or AI/ML enablement, Experience with any cloud data platforms (Snowflake, BigQuery, Azure Synapse, Databricks, etc. ) or on-prem systems, Exposure to AI/ML frameworks and generative AI technologies, Experience in change management, digital transformation, or analytics enablement roles, Familiarity with Tableau
What You'll Do.
driving best practices for operational excellence
develop and mature the operations excellence product to drive GenAI capabilities in the future
bridges technical architecture
data product development
and business stakeholder engagement to identify and accelerate enterprise adoption of modern data platforms and methodologies
Promote and support the adoption of data products across business units
Design and execute demonstrations
and pilot programs to showcase operations capabilities
Drive organizational awareness and understanding of insights and automation from disparate systems that keys to operational excellence
Collaborate with business stakeholders to identify high-value analytics use cases
Translate business problems into data product requirements and future solution designs
Prioritize initiatives based on business impact
Act as a liaison between technical teams
Communicate complex data concepts in clear
business-friendly language
and stakeholder engagement forums
Stay current with modern data and AI tools
Recommend and implement emerging best practices in analytics engineering
and data product lifecycle management
How You'll Work.
Team & Collaboration
Collaborate with business stakeholders to identify high-value analytics use cases; Act as a liaison between technical teams, business leaders, and end users; Excellent communication and collaboration skills with both technical and business stakeholders
Communication Scope
Excellent communication and collaboration skills with both technical and business stakeholders; Communicate complex data concepts in clear, business-friendly language
Process & Methodology
Prioritize initiatives based on business impact, feasibility, and ROI
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