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S&P Global

Delivers credit ratings, market data, indices

Head of Developer Experience

Full-TimeUpdated on 10/23/2026
$220k - $350k+ Annual incentive plan
Expert
Bachelor's
New York, NY, USA
In PersonPosition is limited to people with indefinite right to work in the United States.
DevOps & InfrastructurePlatform Engineering
No H1B Sponsorship

About the job

Requirements
  • A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function.
  • A minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services.
  • Experience holding enterprise decision rights over tooling used by teams outside their own reporting line, including examples of contested standardization decisions reached alongside divisional CTOs and trade-offs accepted on risk, cost, and developer experience.
  • Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, continuous integration and continuous delivery, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations.
  • Experience owning a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base.
  • Experience consolidating overlapping toolchains across multiple business units, including what was retired, licenses and effort recovered, and how migrations were sequenced without interrupting delivery.
  • Experience rolling out AI-assisted development tooling to a developer population at scale, with measured adoption and defensible answers on guardrails, intellectual property, and model access.
  • Experience hiring, building, and leading a globally distributed organization spanning platform engineering, product management, developer support, and analytics.
  • Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes.
  • An undergraduate degree is required.
  • Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment is preferred.
  • Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise is preferred.
  • Experience establishing a developer productivity measurement program using DORA metrics, developer sentiment research, adoption, and cost data, and using its findings to change a roadmap or investment decision is preferred.
  • Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, continuous integration and continuous delivery systems, artifact repositories, developer portals, and API or model context protocol integration layers is preferred.
  • A track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control is preferred.
  • Active maintenance of an external view of engineering platform and AI-assisted development practice through vendor and peer networks, industry forums, or open-source and community participation is preferred.
  • The position requires indefinite right to work in the United States.
Responsibilities
  • Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders.
  • Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, continuous integration and continuous delivery, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations.
  • Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation.
  • Connect product management and engineering platforms into a single agentic product development lifecycle, establishing traceability from customer insight to opportunity, specification, design, commit, release, and in-market outcome so that product intent, engineering work, and measured impact reconcile in one system of record.
  • Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership.
  • Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements.
  • Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across product and engineering estates, reducing duplication while managing transitions without disrupting delivery.
  • Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation.
  • Own advocacy and community across product and engineering, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it.
  • Own the innersource ecosystem, applying open-source working practices to proprietary code so shared libraries, contribution standards, maintainer stewardship, and intellectual property guardrails make reuse across divisions the default.
  • Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption.
  • Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool return on investment, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting.
  • Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy.
  • Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain.
Desired Qualifications
  • An advanced degree or equivalent relevant experience is preferred.

About the company

S&P Global supplies financial information, analytics, and benchmarks to investors, corporations, and governments. Its offerings include credit ratings, market intelligence, and indices, along with price assessments and energy data. Clients access these tools through subscriptions, licensing, and transaction-based services, integrating data and research into their workflows. The company aims to help clients assess risk, make informed decisions, and drive growth while upholding corporate responsibility and ESG commitments.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1917

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Simplify's Take

What believers are saying

  • September 2026 Kaiko and OpenZeppelin bets position S&P Global early in tokenized markets.
  • September 1, 2026 datacenterHawk completion strengthens AI infrastructure intelligence and power-market coverage.
  • October 2026 AI Data Portal ratings access reduces analyst friction and deepens enterprise workflows.

What critics are saying

  • August 2026 antitrust claims against CUSIP Global Services threaten identifier economics and fee power.
  • Saugata Saha left Market Intelligence on July 30, 2026, weakening execution continuity.
  • Regulators can attack ratings and benchmarks simultaneously, forcing structural remedies and revenue compression.

What makes S&P Global unique

  • S&P Global combines ratings, indices, and market data into one institutional workflow.
  • September 2026 OpenZeppelin adds onchain security expertise to S&P Global's risk franchise.
  • October 2026 Vault Risk Assessments extend S&P Global Ratings into digital-asset lending.

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Benefits

  • Health Insurance
  • Unlimited Paid Time Off
  • Professional Development Budget
  • 401(k) Company Match
  • Family Planning Benefits
  • Employee Discounts

Company News

PR Newswire
Oct 22nd, 2026
S&P Global expands AI in iLEVEL, linking private markets data to Copilot and Claude

S&P Global has expanded AI capabilities across its private markets business, centred on its iLEVEL platform for portfolio monitoring, valuations, reporting and data management. The company announced the changes in New York on October 22, 2026. iLEVEL now embeds AI, including a native agent and natural-language search. Its MCP server lets customers link iLEVEL data to AI tools such as Copilot and Claude while keeping existing access controls. Other upgrades include tighter integration with S&P Global Private Market Valuations, covenant monitoring for private credit, and expanded performance analytics datasets across private credit, real assets, and private equity. iLEVEL has served more than 700 private markets firms worldwide over more than 15 years.

Yahoo Finance
Oct 19th, 2026
S&P 500 nears 8,000, but narrow rally leaves 62% of firms below 50-day averages

The S&P 500 is nearing 8,000, but the rally rests on a narrow base. The index closed at 7,744.06 on October 15, about 256 points short of the milestone and up roughly 13% this year. Third-quarter earnings are expected to rise about 30.6% from a year earlier, according to LSEG data. HSBC estimates growth falls to roughly 5% without the Magnificent 7 and technology and energy companies. Breadth is weak. Almost 62% of S&P 500 firms traded below their 50-day moving averages, and more than 40% of stocks were down for the year. Apple, Microsoft, and Meta Platforms report in the coming weeks. Barclays Private Bank's Julien Lafargue said "good is not going to be enough.

Yahoo Finance
Oct 16th, 2026
S&P 500 futures rise as TSMC earnings beat; Polymarket puts 65% odds on higher open

US stock futures point to a moderately higher open on Friday, helped by a strong earnings beat from Taiwan Semiconductor Manufacturing Co. (TSMC) and signs that consumer spending is softening. On Polymarket, a prediction platform, traders see a 65% chance the S&P 500 opens higher on October 16. Nasdaq 100 futures are up 0.20%, Russell 2000 futures 0.22%, S&P 500 futures 0.15%, and Dow Jones futures 0.11%. TSMC reported third-quarter revenue up 51% and earnings up 69%, and raised its 2026 revenue guidance. Excluding vehicles and gas, retail sales rose just 0.2%. Brent crude fell 0.51% to $105.38 a barrel, while WTI dropped 0.59% to $97.39.

PR Newswire
Oct 15th, 2026
S&P Global adds Visible Alpha data from 250+ brokers to its AI Data Portal

S&P Global said on October 15, 2026 that Visible Alpha data is now available through its S&P Global AI Data Portal. Customers can reach the data through AI applications that support the Model Context Protocol (MCP), including GPT, Gemini, Claude, and Copilot. Visible Alpha, part of S&P Global Market Intelligence, standardises data from the full working models of more than 250 sell-side brokers. It covers more than 8,000 companies across 170+ industries. The data includes consensus estimates, financial line items, and segment forecasts and actuals. Deterministic Retrieval, which handles direct, structured queries, is available now. Adaptive Retrieval, built for complex workflows across multiple datasets, will support Visible Alpha data later this year. "Investors and analysts want to see more than the headline number," said Peter Licursi, head of AI and growth at Kensho Data & Platforms.

Yahoo Finance
Oct 12th, 2026
S&P 500 Q3 profits seen surging 31% as AI giants drive nearly two-thirds of growth

Analysts expect S&P 500 earnings to jump about 31% in the third quarter from a year earlier, with technology and AI-focused companies such as Alphabet, Amazon, and Meta Platforms driving nearly two-thirds of the rise. Energy companies are projected to post a roughly 115% profit increase, according to Reuters. Higher oil prices amid the US-Israeli war with Iran pushed American crude about 30% higher during the quarter. Growth looks weaker elsewhere. Consumer staples and real estate are expected to report the slowest year-over-year gains. Second-quarter earnings rose nearly 54%, the strongest growth since 2021, according to LSEG. Excluding mark-to-market gains at Alphabet and Amazon, growth was about 35%. Investors worry about the wider market if the AI boom slows.