
Director of Portfolio & Product Management, Data Analytics & AI, Hybrid
- USA
- Permanent
- Full-time
- Strategy & Governance: Define and manage the enterprise roadmap for Data and AI products; lead portfolio governance to ensure scalability, adoption, ROI, and alignment with business priorities.
- Business Alignment & Value: Serve as the strategic interface between product, technical, and business teams; build investment cases, assess impact, and establish success metrics for initiatives.
- Product Lifecycle Leadership: Guide projects from ideation through delivery, including partnerships and stakeholder engagement.
- Cross-Business Collaboration: Lead product councils and coordinate efforts across multiple SBUs & functions to prioritize and deliver value.
- Operations & Performance: Lead DAAI business operations including financial oversight (AOP, capital planning, contractor management), business reviews, and KPI tracking for product and portfolio health.
- Travel: Anticipated 20–40% travel to collaborate with team members and business stakeholders.
- Role typically requires a University Degree or equivalent experience and minimum 14 years prior relevant experience, or an Advanced Degree in a related field and minimum 12 years' experience. (In lieu of degree, a minimum of 18 years’ relevant experience will be considered).
- Experience leading product management or portfolio leadership in data, analytics, or AI-driven solutions at enterprise scale.
- Ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
- Master of Business Administration (MBA) or an advanced technical degree in Data Science, Information Management, or related STEM field.
- Proven ability to translate business strategy into actionable product roadmaps, portfolio governance, and measurable outcomes, including investment planning and financial oversight.
- Strong leadership and communication skills with experience engaging senior stakeholders and driving cross-functional alignment.
- Experience working in regulated industries such as aerospace, defense, or government
- Familiarity with modern data and AI ecosystems (e.g., Snowflake, Databricks, MLOps frameworks, AWS GovCloud, AzureGov).
- Proven expertise with product management tools and methodologies (e.g., Agile, SAFe, Jira).
- Demonstrated success driving enterprise-wide adoption of advanced data and AI capabilities while balancing strategic vision with operational execution.
- Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. The ratio of time working onsite will be determined in partnership with your leader.
- The locations options for this role are Raytheon domestic US sites in the following metro areas: Tucson, AZ; Andover, MA; Huntsville, AL; McKinney/Richardson, TX; Aurora, CO; Dulles, VA (Washington DC).
- Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
- This role is relocation eligible. Relocation assistance available, provided the final candidate meets eligibility requirements, and does not already live within a commuting distance to one of our noted US Raytheon locations.
- We Are RTX:
- Raytheon Mission: