Senior Product Specialist

Boeing•Berkeley, MO

3d•$129,200 - $187,450•Onsite

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.