Develop and manage the portfolio of artificial intelligence, machine learning, and automation solutions that accelerate value across the PST transformation
Shape how RTX leverages AI to streamline processes, enhance data quality and visibility, support SAP S/4HANA adoption, and drive measurable business outcomes
Partner closely with digital product teams, process owners, data governance leaders, enterprise architects, and system integrators to identify opportunities, define use cases, prioritize investments, and ensure responsible and scalable AI implementation
Establish a governed intake and evaluation framework; lead business case development; develop metrics to quantify realized business impact; maintain transparency around capacity, progress, and dependencies; and ensure the AI portfolio aligns with PST’s transformation objectives
Translate strategy into actionable roadmaps, enabling disciplined ways of working, championing reuse across the enterprise, and ensuring delivery teams have clarity on requirements and success criteria
Play a critical role in building a sustainable acceleration engine for the entire transformation program
Requirements
Typically requires a University Degree and minimum 12 years prior relevant experience or an Advanced Degree in a related field and minimum 10 years of experience or in absence of a degree, 16 years of relevant experience
8+ years of experience in technology strategy, product management, AI/ML initiatives, enterprise transformation, or related domains
Demonstrated expertise in managing digital, analytics, or AI solutions with working knowledge of AI/ML concepts, automation technologies, and data lifecycle management
Background in translating technical concepts into actionable business outcomes for senior leadership including the ability to influence diverse stakeholders and navigate complex and highly regulated environments
Master’s degree in Engineering, Data Science, Business, or related field (preferred)
Experience supporting large-scale SAP S/4HANA or global ERP transformations or implementations (preferred)
Background in aerospace & defense (preferred)
Excellent communication, facilitation, and narrative‑building skills (preferred)
Understanding of AI governance, risk, model lifecycle management, responsible AI practices, agile portfolio management methodologies and tools, as well as exposure to enterprise data strategy, data products, and data architecture (preferred)
Tech Stack
ERP
Benefits
Medical, dental, and vision insurance
Three weeks of vacation for newly hired employees
Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
Tuition reimbursement program
Student Loan Repayment Program
Life insurance and disability coverage
Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
Birth, adoption, parental leave benefits
Ovia Health, fertility, and family planning
Adoption Assistance
Autism Benefit
Employee Assistance Plan, including up to 10 free counseling sessions