Senior Product Manager

RTX RTX · Aerospace · tucson, AZ +1 · Digital Technology

Senior Product Manager for Raytheon DT’s Data, Analytics, and AI team. This role will define the vision, prioritize features, and manage product roadmaps for next-generation Raytheon data and AI products and services, leveraging enterprise data, AI technology, and market analysis to deliver integrated end-to-end solutions. The candidate will collaborate with business stakeholders, engineering, data science, design, and product teams to deliver scalable AI solutions.

What you'd actually do

  1. Transform business goals into strategic business initiatives and data, AI, and/or enterprise analytics products and services.
  2. Align to Raytheon and RTX’s digital strategy while leveraging business and technical expertise to drive value for the business
  3. Research industry, market and technology trends to inform product definition and share with working teams and business units
  4. Define and clearly communicate product roadmaps, KPIs, and measures of product success to stakeholders
  5. Influence stakeholders and gain consensus for AI product strategy and milestones.
  6. Collaborate with Agile Release Train teams on sprint definition, backlog prioritization, development, and release of MVPs
  7. Support product innovation by analyzing usage metrics and leveraging VOC research to continuously improve AI solutions.

Skills

Required

  • University degree or equivalent experience and a minimum of 10 years of prior relevant experience or an Advanced Degree in a related field and a minimum of 7 years of experience.
  • Experience with delivering Analytical and Generative AI solutions using Agile methodology.
  • Experience with data driven decision making, including competence with market intelligence, build vs buy decisions, and usage metrics.
  • Ability to make timely prioritization decisions to ensure deliverables meet critical business needs and timelines
  • Ability to communicate clearly and effectively in order to influence multi-disciplinary teams and develop strong partnerships across functions to drive quantifiable value.
  • Demonstrated ability to translate market and user needs into features, epics, and technical user stories with definitions of done.

Nice to have

  • Experience with aerospace, defense, supply chain, manufacturing, and/or data science products a plus.
  • Experience with Azure or AWS Cloud offerings a plus.
  • Experience with Snowflake, Databricks a plus.
  • Experience with LLMs, Forecasting, Agentic AI, and visual inspection a plus.
  • Highly technical, collaborative, detail oriented, reliable individual who strives to deliver the highest quality AI products.
  • Ability to excel in an exceedingly technical environment with high degree of autonomy and accountability.
  • Strong interpersonal skills to interact effectively at all levels within the organization.

What the JD emphasized

  • The ability to obtain and maintain a U.S. government issued security clearance is required.
  • U.S. citizenship is required
  • Experience with delivering Analytical and Generative AI solutions using Agile methodology.
  • Experience with data driven decision making, including competence with market intelligence, build vs buy decisions, and usage metrics.
  • The ability to make timely prioritization decisions to ensure deliverables meet critical business needs and timelines
  • Ability to communicate clearly and effectively in order to influence multi-disciplinary teams and develop strong partnerships across functions to drive quantifiable value.
  • Demonstrated ability to translate market and user needs into features, epics, and technical user stories with definitions of done.

Other signals

  • deliver integrated end-to-end solutions
  • define the vision, prioritizing features, and managing the product roadmaps
  • deliver scalable AI solutions
  • Transform business goals into strategic business initiatives and data, AI, and/or enterprise analytics products and services
  • Define and clearly communicate product roadmaps, KPIs, and measures of product success to stakeholders
  • Influence stakeholders and gain consensus for AI product strategy and milestones
  • Support product innovation by analyzing usage metrics and leveraging VOC research to continuously improve AI solutions