Jobs at S&P Global

Leads Market Intelligence’s commercial growth agenda by designing integration-led, solution-based offerings and translating product, data, and platform synergies into measurable value. Partners with Sales, Account Management, Product, Engineering, Technology, and enterprise data teams on strategic deals, renewals, expansions, and executive engagements. Builds business cases, value-tracking frameworks, repeatable solution patterns, prototypes, and proofs of concept while training revenue teams and improving implementation and adoption.

Manage the customer lifecycle across onboarding, training, adoption, engagement, and renewal support. Drive platform usage, retention, value realization, and account growth through proactive engagement plans and analytics. Maintain Salesforce account profiles, deliver product training, identify client needs, share feedback with Product teams, and serve as a trusted advisor to senior stakeholders. Track outreach using CRM and cadence tools while supporting strategic accounts and client satisfaction.

Leads S&P Global’s enterprise ACV reporting program, overseeing monthly calculations, reconciliations, revenue bridges, cohort and retention analysis, data controls, and executive reporting. Manages a team of 3–5 professionals and partners with FP&A, revenue accounting, sales operations, commercial leadership, and data teams. The role establishes consistent ACV definitions, analyzes product and customer trends, explains variances, improves reporting quality, and supports business and finance scorecards.

Design, build, and maintain SOAR playbooks and automated incident-response workflows; integrate security, IT, and cloud systems; deploy cloud security infrastructure via IaC; apply AI/LLM tools to security automation; collaborate with SOC, detection engineering, and IR teams; measure and report automation performance and ROI to leadership.

Leads enterprise sales for lending software and services, overseeing revenue growth, pipeline management, forecasting, pricing, deal governance, territory strategy, and executive relationships. Builds and develops high-performing sales teams, manages quota and compensation planning, sponsors complex enterprise opportunities, and influences cross-functional product, technology, marketing, finance, and revenue operations stakeholders.

Defines technology vision and architecture strategy across the organization, evaluates emerging technologies such as agentic AI, and guides strategic engineering investments. Establishes evaluation frameworks, partners with risk and compliance teams, and drives adoption of technical standards across engineering. The role also coaches teams, influences architecture decisions, and communicates complex technical recommendations to executives and governance stakeholders.

Leads the global agentic engineering function, defining architectures, orchestration patterns, agent registries, evaluation systems, and AI-enabled software development practices. Establishes automated quality engineering, testing, governance, risk controls, and human oversight for autonomous systems. Builds and leads engineering teams, drives organizational transformation, partners with compliance and security stakeholders, and communicates complex AI capabilities to executives and broader technology teams.

Leads global talent acquisition strategy for Market Intelligence and the Chief Commercial Office. Advises senior leaders on workforce planning, talent availability, location strategy, skills, and investment decisions. Oversees recruiter teams, develops future leadership capabilities, uses labor-market intelligence and recruiting analytics to improve hiring outcomes, ensures compliance, advances diversity and inclusion, strengthens stakeholder partnerships, and enhances candidate experience.

Own the technical infrastructure and day-to-day operation of an onsite corporate broadcast studio, including virtual production, control room, and podcast systems. Maintain broadcast equipment, administer video SaaS platforms, document systems, resolve technical issues, coordinate vendors and contractors, and ensure production readiness. Support filming, directing, recording, editing, and global creative teams while staying current with virtual production technologies.

Leads the Finance team’s AI strategy, roadmap, governance, and implementation of AI/ML, NLP, GenAI, automation, and robotics initiatives. Partners with finance, technology, CFOs, vendors, and enterprise stakeholders to identify opportunities, deploy solutions, manage programs, measure ROI, promote adoption, and ensure ethical and regulatory compliance.

Own global sales compensation operations, including commission modeling, forecasting, payroll validation, exception approvals, dispute resolution, clawbacks, reconciliations, risk management, and SOX controls. Partner with Sales, Finance, Payroll, Legal, HR, and Compliance leaders to ensure accurate, timely, transparent, and audit-ready commission payments. Lead plan effectiveness analysis, stress testing, governance, and process improvements while explaining complex payout calculations to stakeholders.

Leads financial planning, analysis, modeling, forecasting, and operational support for sales compensation programs. Designs and evaluates incentive plans, supports quota and territory planning, forecasts compensation expenses, analyzes payout effectiveness, ensures accurate and compliant administration, and delivers leadership reporting. The role partners with Sales, Sales Operations, People Partners, and Finance to improve governance, controls, scalability, and alignment between seller performance and business objectives.

Lead Agile Release Train execution across complex technology portfolios, including PI Planning, ART events, dependency management, release planning, metrics, and continuous improvement. Coach Scrum Masters, Flow Masters, teams, leaders, and stakeholders on SAFe and Lean-Agile practices. Drive strategic alignment, data-informed delivery decisions, Responsible AI governance, risk management, and organizational agility across value streams.

Leads automation and process improvement across the financial index governance lifecycle. Designs production applications, workflows, and data pipelines using Python, Databricks, SQL, and automation platforms. Manages data ingestion infrastructure, methodology databases, and Power Automate flows while partnering with stakeholders to solve business problems. Drives strategic projects, process reengineering, and operational improvements that enhance efficiency, data quality, and business continuity.

Leads the design, development, support, and performance tuning of Java/J2EE web applications and backend systems. Provides technical guidance, mentors developers, interfaces with databases using SQL and PL/SQL, troubleshoots issues, participates in code reviews, and collaborates with business and IT stakeholders. The role spans the full software development lifecycle and may involve microservices, cloud services, CI/CD, automation, and financial data systems.

Provides executive protection for company leadership during domestic and international travel, plans secure trips and events, conducts risk assessments, reviews executive calendars, maintains security protocols and threat databases, and supports corporate security, investigations, building operations, conferences, and incident management. Requires daily on-site presence in New York and travel as needed.

Leads the design, development, testing, and deployment of scalable Java applications and distributed systems for an indices prototyping platform. Responsibilities include building microservices, using AWS cloud services, implementing containerization, improving performance and reliability, developing user interfaces, fixing defects, maintaining code quality and automation, and mentoring junior engineers.

Software engineering interns contribute to production features, APIs, services, machine learning applications, data ingestion pipelines, and platform infrastructure. They participate in code reviews, deployment, observability, infrastructure as code, and engineering best practices while collaborating with experienced teams. Interns also receive opportunities for technical learning and cross-team exploration. The role requires algorithmic knowledge, software development experience through projects or open source, adaptability, and strong coding, documentation, and communication skills.

Lead the design, development, and deployment of scalable machine learning and generative AI solutions. Partner with stakeholders, data scientists, and software engineers to build AI platforms, tooling, agents, and autonomous workflows. Analyze large datasets, optimize and fine-tune models, apply emerging AI technologies, and establish reusable capabilities and technical standards across the organization.

Develop and deploy machine learning solutions for generative AI platforms, LLM-powered applications, and AI toolkits. Interns will solve agentic design and LLM orchestration challenges, prototype and evaluate models, develop pipeline components, and support deployment across the ML lifecycle. The role involves collaboration with ML engineers, product managers, designers, and full-stack engineers, with mentorship and opportunities to work on scalable, production-ready systems.