Manufacturing, Safety and Quality Product Family Senior Manager
Listed on 2026-02-28
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IT/Tech
Product Engineer, Data Science Manager, Data Analyst
Job 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.
Position OverviewThe Boeing Company is currently seeking a Manufacturing, Safety and Quality Product Family Senior Manager to join the team in Everett, WA;
North Charleston, SC;
Renton, WA; or Seattle, WA.
This individual will be responsible for defining the Data & Artificial Intelligence (AI) strategy, overseeing the development and management of the data and AI product within Information Digital Technology & Security (IDT&S).
This senior leader will work closely with cross-functional teams to guide products from conception to launch, driving adoption of new data driven ways of working. The Product Family Manager (PFM) role will partner with our Engagement Leaders for the businesses and functions to work directly with the business users and executive stakeholders across Boeing and will be accountable for driving data, digital thread and AI applications in manufacturing, safety and quality domains.
Position Responsibilities:- Ensure consistent product design and delivery across product family
- Build a strategy for maturing data and AI capabilities in their domain, identifying and prioritizing business needs, de-risking product development, monitoring product family performance, and mentoring product managers
- Communicate complex messages and trade-offs and tell a compelling story
- Work with and influence a diverse group of stakeholders
- Challenge the status quo, finding new solutions, and driving innovative ideas
- Embrace change and empower others to learn and grow
- Understand current state, identify opportunities for solving complex business problems through data and AI
- Develop product strategy roadmaps with a clear tie to value realization
- Build, manage, deploy and grow product portfolio for data, analytics and AI capabilities in manufacturing, safety and quality domains across Boeing businesses
- Develop future state vision for data lake strategy to bring manufacturing, safety and quality data across from across Boeing
- Help shape digital thread strategy for the enterprise and lead implementation and adoption of digital thread in manufacturing and quality
- Identify opportunities to implement analytics and AI drive real-time visibility, alerting and predictability for of manufacturing and supplier quality
- Improve best practices for streamlined collaboration and data exchange with Boeing’s suppliers
- Create, measure, and report progress against product and/or product family Objectives and Key Results (OKRs) to provide leadership updates on value delivered
- Coordinate with cross-functional stakeholders (management and executive levels) to define product implementation, risk management plans, and product strategy
- Coordinate with other PFMs and product managers to identify major dependencies (e.g., release timeline) and develop mitigation plans
- Lead and orchestrate execution of strategic initiatives and define/track metrics for success
- Own the end-to-end integrated roadmap across products within family
- Mentor, develop and evaluate product managers within the product family
- Bachelor's degree or higher
- 5+ years of management experience
- 5+ years of experience in a product management specialist area or related field
- 5+ years of experience working with quality and/or manufacturing data systems
- 3+ years of experience working with Artificial Intelligence (AI)
- 3+ years of experience working with databases, data collection and preparation, and data interpretation
- Experience developing strategic product and technical roadmaps
- Able and willing to travel up to 25% of the time domestically
- Master’s degree, Ph.D. or higher in engineering or manufacturing
- 10+ years of experience working large complex global organizations in industrial space
- Experience with strong people and process literacy in the manufacturing, safety and quality domains to drive digital transformation
- Experience…
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