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 timely reporting on operational efficiency in partnership with Finance and divisional leadership 

• Identify risks, blockers, resource gaps, and execution slippage proactively, involving the relevant stakeholders to manage risks by having clear options for go-forward decisions  

• Partner with cross-functional teams including change management, communications, people, finance, and product and technology leadership to define and implement a clear roadmap to orient and equip people leaders and teams on the new ways of working 

S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.

In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

Include for roles that are bonus plan eligible, including sales commission plans. 

What We're Looking For: 

Basic Required Qualifications: 

• 15+ years of experience in technology transformation, program leadership, or engineering operations with demonstrated ownership of large-scale, multi-division change initiatives 

• Proven track record delivering product development and engineering transformations at enterprise scale, with executive-level visibility and stakeholder management 

• Demonstrated ability to influence and collaborate with C-level executives, CTOs, and senior business leaders across multiple functions 

• Strong problem-solving skills and the ability to blend innovative thinking with practical understanding of execution realities 

• Deep understanding of modern software delivery lifecycles, including agile methodologies, Dev SecOps practices, and AI-assisted engineering workflows 

• Experience operating in regulated environments with deep understanding of control, risk, compliance, and audit requirements 

• Bachelor's degree in Engineering, Computer Science, Business, or equivalent combination of education and experience. Master’s degree is a plus  

Additional Preferred Qualifications: 

• Hands-on background in engineering, product management, or technical delivery before transitioning to enterprise transformation leadership 

• Experience designing and implementing enterprise coaching models, capability academies, or scaled adoption programs for technology transformations 

• Familiarity with AI-enabled development tools and platforms such as GitHub Copilot, automated testing frameworks, or multi-agent workflow systems 

• Consulting or transformation office experience with structured problem-solving methodologies and enterprise PMO disciplines