below marketmost similar roles pay hereabove market
This role pays more than
89%
of similar roles. Most pay
$161,250–$236,625
— the blue band above.
At the midpoint, this role pays about
$285k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About S&P Global
S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.
S&P Global currently has
39 open roles
on FindRole.
Listed pay typically runs
$145,245–$200,000
across 36 roles with salary data.
The Vice President, Program Lead - Agentic Software & Product Development Life Cycle (ATOM) joins the Enterprise Transformation team to lead the enterprise-wide scaling of AI-native product development and software development life cycle transformations. This role involves owning the end-to-end program strategy, managing governance, and building an enterprise coaching and enablement engine to drive adoption of agentic practices. You will collaborate with cross-functional leaders to define future-state operating models, manage workstream checkpoints, and provide executive-ready updates on solution options. Key requirements include expertise in agile methodologies, DevSecOps practices, and AI-assisted engineering workflows, with specific familiarity with tools like GitHub Copilot, automated testing frameworks, and multi-agent workflow systems. The role solves the business problem of transitioning the organization toward sustained agentic software delivery while ensuring compliance in regulated environments.
Lead the enterprise-wide scaling of AI-native PDLC and SDLC transformations across the organization.
Own the end-to-end program strategy and execution roadmap from baseline assessment through implementation.
Manage program governance by providing regular updates to the Steering Committee and executive sponsor forums.
Prepare executive-ready updates that frame solution options and enable sponsors to make quick decisions.
Define the future-state operating model for agentic product and software delivery with cross-functional leaders.
Build and run the enterprise coaching and enablement engine for AI-native adoption and practitioner communities.
Drive value realization by measuring improvements in capacity, cycle-time, and product throughput.
Identify risks, blockers, and resource gaps proactively to manage execution slippage.
What we're looking for
15+ years of experience in technology transformation, program leadership, or engineering operations with ownership of large-scale change initiatives.
Proven track record delivering product development and engineering transformations at enterprise scale with executive-level visibility.
Demonstrated ability to influence and collaborate with C-level executives, CTOs, and senior business leaders across multiple functions.
Deep understanding of modern software delivery lifecycles, including agile methodologies, DevSecOps practices, and AI-assisted engineering workflows.
Experience operating in regulated environments with a deep understanding of control, risk, compliance, and audit requirements.
Bachelor's degree in Engineering, Computer Science, Business, or an equivalent combination of education and experience.
Master’s degree is a plus (preferred).
Hands-on background in engineering, product management, or technical delivery before transitioning to enterprise transformation leadership (preferred).
AI
LLMs
NLU
Product Development Life Cycle
Agile
Scrum
Data Analytics
Responsible AI
Automation
Telemetry
Metrics
Product Roadmap
Requirements Definition
Software Delivery Lifecycle