Boeing Senior Product Specialist

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Job Details

Posted date: Jun 01, 2026

There have been 8 jobs posted with the title of Senior Product Specialist all time at Boeing.

Category: Information Technology|Data Science & Analytics

Location: Seattle, WA

Estimated salary: $158,325
Range: $129,200 - $187,450


Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

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 in Seattle, WA; Berkeley, MO; Hazelwood; or Dallas, TX.

This person 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.

Position 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

Basic Qualifications (Required Skills/Experience):

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)

Preferred Qualifications (Desired Skills/Experience):

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

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $129,200 - $187,450

Applications for this position will be accepted until Jun. 15, 2026

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.



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