Senior Product Specialist

BoeingBerkeley, MO
$129,200 - $187,450Onsite

About The Position

The Boeing Company is currently seeking a Senior Product Specialist to join the Enterprise Artificial Intelligence (AI) & Data team supporting Boeing Global Services (BGS)-Government Supply Chain AI & Analytics team. This role involves spearheading the development and implementation of data and AI-driven solutions, ensuring alignment with business objectives and fostering a collaborative environment among cross-functional teams. The ideal candidate will be a visionary leader capable of translating complex analytics into actionable business strategies and guiding team members through the project lifecycle.

Requirements

  • 6+ years of experience in business analysis, data warehousing, statistical data mining, and/or data science
  • 3+ years of experience in Supply Chain Management/Logistics Support
  • 3+ years of experience in product management related to data, analytics, and/or artificial intelligence
  • Experience developing data visualization tools (e.g. Spotfire and Tableau)

Nice To Haves

  • Bachelor’s degree in business, Engineering, Computer Science, Data Analytics, Supply Chain Management, or related field
  • Experience in leading program execution in the AI/ML space
  • Experience with Cloud hosted platforms such as Amazon Web Services (AWS), Google Cloud Platform, or Azure
  • Ability to create an effective collaboration across business and cross-functional analytics team
  • Experience in managing and efficiently reporting analytics operations working through helpdesk tickets
  • Ability to execute flawlessly by removing all barriers and with a sense of urgency

Responsibilities

  • 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 Development Operations (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.

Benefits

  • health insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life and disability insurance programs
  • paid and unpaid time away from work
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