This role pays more than
83%
of similar roles. Most pay
$161,250–$254,750
— the shaded band above.
At the midpoint, this role pays about
$285k
versus about
$208k
for comparable roles.
Based on 239 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
46 open roles
on FindRole.
Listed pay typically runs
$142,000–$200,000
across 37 roles with salary data.
Vice President, Program Lead - Agentic Software & Product Development Life Cycle (ATOM) joins the Enterprise Transformation team to drive the large-scale evolution of AI-native product development and software delivery lifecycles. This role involves owning end-to-end program strategy, managing governance for executive stakeholders, and building an enterprise coaching engine to facilitate adoption of agentic practices. The successful candidate will define future operating models where humans, AI agents, and platforms interact across the lifecycle while ensuring compliance in regulated environments. Key responsibilities include identifying risks, tracking value realization through improved cycle times, and coordinating with cross-functional teams like finance and communications. Required expertise includes modern software delivery lifecycles, agile methodologies, DevSecOps practices, and AI-assisted engineering workflows. Preferred technical familiarity includes GitHub Copilot, automated testing frameworks, and multi-agent workflow systems to solve complex problems in the product development lifecycle.
Lead the enterprise-wide scaling of AI-native product and software development lifecycle transformations.
Own the end-to-end program strategy and execution roadmap from initial assessment through implementation.
Manage program governance and provide executive-ready updates to steering committees and senior sponsors.
Define the future-state operating model for agentic product delivery involving humans, AI agents, and platforms.
Build and manage the enterprise coaching engine to drive adoption of AI-native workflows.
Partner with divisional leaders to plan and implement training programs for tooling readiness and capacity optimization.
Track value realization by measuring improvements in capacity, cycle time, and product throughput.
Proactively identify and mitigate risks, resource gaps, and execution slippage through clear go-forward options.
What we're looking for
15+ years of experience in technology transformation, program leadership, or engineering operations.
Proven track record delivering product development and engineering transformations at enterprise scale with executive visibility.
Demonstrated ability to influence and collaborate with C-level executives, CTOs, and senior business leaders.
Deep understanding of modern software delivery lifecycles, including agile methodologies, DevSecOps, and AI-assisted engineering workflows.
Experience operating in regulated environments with knowledge 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 (preferred).
Hands-on background in engineering, product management, or technical delivery before transitioning to leadership (preferred); familiarity with AI tools (preferred); consulting or transformation office experience (preferred).
Agile
Scrum
Kanban
Jira
Confluence
Tableau
Excel
Data Analytics
AI
Generative AI
Automation
Product Development Lifecycle
Business Intelligence
Prompt Design
Workflow Orchestration
Agentic AI
OAuth 2.0
OpenID Connect
API
AWS
Jira
Figma
Agile
User Research
Data Analytics
Conversational AI
MCP Servers
Risk Management
Product Metrics
C#
.NET Core
ASP.NET Web API
RESTful API
SQL Server
T-SQL
IBM MQ
Apache Kafka
Microservices
Distributed Systems
CI/CD
Data Modeling
System Integration
Database Architecture
High-Volume OLTP
Data Pipelines