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The Boeing Company is currently seeking a Senior Artificial Intelligence (AI) Product Specialist to join the team in Plano, TX.
The Senior AI Product Specialist will spearhead the development and implementation of data and AI-driven solutions, ensuring alignment with business objectives and fostering a collaborative environment among cross-functional (Enterprise AI and Data (EAID) and Business) teams. Be a visionary leader who can translate complex analytics into actionable business strategies while motivating and guiding team members throughout the project lifecycle.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):

• 10+ years of experience in business analysis, data warehousing, statistical data mining, and/or data science
• 5+ years of experience in Supply Chain Management/Logistics Support
• 5+ years of experience in product management related to data, analytics, and/or artificial intelligence
• 5+ years of experience in leading program execution in the AI/ML space
• 3+ years of experience with Cloud hosted platforms such as AWS, Google Cloud Platform, or Azure
• Experience developing data visualization tools (eg. Spotfire and Tableau)

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE):

• Master’s degree in data science
• Ability to create an effective collaboration across business and cross-functional analytics team
• Ability to execute flawlessly by removing all barriers and with a sense of urgency
• Experience in managing and efficiently reporting analytics operations working through helpdesk tickets

• Collaborate with the Analytics Engagement and Business Leaders to gain a deep understanding of the business challenges and objectives
• Analyze and synthesize insights to define the scope of AI initiatives
• Organize and lead execution workshops to define the 12-week project scope, identifying key insights, business actions, and the overall value proposition of the AI and data product
• Assess the project team structure and clarify the roles and responsibilities of each member
• Facilitate alignment on project goals, timelines, and deliverables
• Foster a culture of collaboration within the project team, ensuring clear communication and expectations
• Establish a communication plan that promotes transparency and accountability
• Conduct a comprehensive kick-off meeting to outline the project charter, team roles, stakeholder expectations, communication strategies, escalation paths, risks, and timelines
• Develop and maintain product roadmaps that align with business goals
• Create and manage Azure DevOps stories for team members, facilitating sprint planning and execution
• Deliver incremental features in each sprint, leveraging thought leadership to optimize sprint planning and delivery
• Lead stakeholder status updates every three weeks, presenting project progress, demos, data flows, model results, risks, and next steps
• Translate technical analytics details into business-friendly language to ensure stakeholder understanding and engagement
• Hold both analytics and business teams accountable for timely deliveries, maintaining consistent messaging regarding business process change management
• Clarify the actions that business leaders will take based on the AI and data solution
• Prepare a comprehensive report summarizing project achievements, highlights, and the anticipated business value of the solution
• Ensure that each team member articulates their contributions, fostering a sense of ownership and recognition
• Continuously motivate and challenge the project team, instilling a sense of urgency and purpose
• Lead by example, demonstrating commitment and enthusiasm for the project and its outcomes