Senior Technical Product Management Specialist

BoeingSeattle, WA
Hybrid

About The Position

The Boeing Company is currently seeking a Senior Technical Product Management Specialist to join the team in Seattle, WA; Dallas, TX; North Charleston, SC; Berkeley, MO; Hazelwood, MO; or Mesa, AZ. We are seeking a highly experienced and visionary Data & Analytics Product Specialist to define, evolve, and deliver innovative data and Artificial Intelligence (AI) products that power business growth. The ideal candidate will combine deep technical expertise in Data and AI technologies with a strong product mindset - translating business needs into clear product strategies, roadmaps, and measurable outcomes. In this role, you will own the lifecycle of our data and analytics offerings - from discovery and requirements definition to design, delivery, and continuous improvement. You will work closely with engineers, data scientists, and business leaders to shape solutions that unlock insights, accelerate decision-making, and drive enterprise-wide value. Acting as the voice of the product, you will champion adoption, ensure alignment with the company’s strategic priorities, and continuously explore new opportunities to extend our cloud, data, and AI capabilities. Join us in shaping the next generation of our cloud, data, and AI strategy - where your vision will directly influence how the business thinks, operates, and grows.

Requirements

  • 5+ years of experience with technical product management
  • 5+ years of experience in leading program execution in the AI/ML space
  • 3+ years of experience in business analysis, data warehousing, statistical data mining, and/or data science
  • 3+ years of experience developing & maintaining relationships & partnerships with senior executives and stakeholders
  • 3+ years of experience with cloud-platform technologies (AWS, Azure, GCP)

Nice To Haves

  • 10 or more years' related work experience or an equivalent combination of education and experience
  • Current PMP or PgMP certifications
  • Current Agile/Scrum (e.g., CSM, SAFe) certifications
  • Current cloud certification (e.g., AWZ, Azure, GCP, etc.)
  • Experience working with all levels from individual contributor to senior leadership
  • Experience leading multi-year and multi-million-dollar programs
  • Experience with data ecosystems

Responsibilities

  • Lead and drive the vision, roadmap and priorities for Enterprise data and analytics products aligned with business goals
  • Collaborate with cross-functional teams including engineering, design, marketing, and sales to deliver successful product releases
  • Lead end-to-end product lifecycle management from concept through launch and iteration
  • Lead backlog grooming, sprint planning, and ensure timely delivery of features
  • Establish and monitor key performance indicators (KPIs) to measure program delivery milestones, earned value management, risks, dependencies etc.
  • Lead product investment decisions, including budget planning, resource allocation, and vendor partnerships to maximize value and accelerate delivery
  • Drive alignment and engagement through regular product reviews, executive showcases with multiple Vice Presidents (VPs) and senior leaders around the product vision, strategy, and roadmap
  • Ensure delivery of high quality, scalable data solutions – including data platforms, governed data products, AI and Business Intelligence (BI) solutions
  • Lead adoption of data platforms, tools and analytics practices through effective change management
  • Identify and proactively manage risks related to data availability, quality, architecture or other areas as needed
  • Identify opportunities for innovation and new product initiatives based on market trends and customer needs
  • Foster knowledge sharing across teams (Establish Centers of excellence, Communities of practice etc.)

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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