The Team: 

The Enterprise Transformation team drives innovation across S&P Global, leading strategic programs that reshape how the company operates and delivers products and services. We value collaboration, results-driven execution, and cutting-edge innovation as we transform the future of work through AI-native capabilities. This team partners directly with stakeholders across all divisions and functions to deliver measurable impact at enterprise scale. 

Responsibilities and Impact: 

• Lead enterprise-wide scaling of AI-native PDLC and SDLC transformation across S&P Global, directly impacting how the organization builds and delivers products 

• Own end-to-end program strategy and execution roadmap from baseline assessment through implementation, influencing senior stakeholders across multiple divisions and the central technology and data function driving measurable business outcomes 

• Manage program governance and reporting including providing updates to the Steering Committee and executive sponsor forums, and conducting workstream checkpoints and readiness reviews 

• Prepare executive-ready updates that frame solution options and go-forward decisions clearly and enable sponsors to unblock issues quickly 

• Collaborate with cross-functional enterprise stakeholders and leaders  on the future-state operating model for agentic product and software delivery, clarifying how humans, AI agents, platforms, governance checkpoints, and cross-functional teams interact across the lifecycle 

• Build and run the enterprise coaching and enablement engine for agentic PDLC and SDLC adoption, including coach identification, onboarding, role expectations, ratios, coverage, practitioner communities, and contractor supply where needed 

• Partner with key divisional leads to plan and implement training for tooling readiness, managing delivery constraints, optimizing division capacity, and managing coach-resources availability for maximized impact 

• Ensure adoption is embedded through applied coaching, product and engineering team-level support, peer learning, and transition mechanisms that move teams from tool training to sustained agentic practice 

• Drive value realization through measurable improvements in capacity, cycle-time, product throughput, and