Associate Director – PST AI Portfolio Lead

Das ist der Job

Play a critical role in building a sustainable acceleration engine for the entire transformation program.

Darum lohnt es sich

Partner 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.

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.

Overview 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.

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.

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) #J-18808-Ljbffr