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This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 14 The Team The Head of Enterprise Digital Assets & Tokenization leads S&P Global's central Digital Assets & Tokenization team, reporting to S&P DJI's Head of Business Acceleration & Special Projects, who oversees the team on behalf of S&P Global's Head of DeFi (Chief Product & Operations Officer, S&P DJI). S&P Global's position is straightforward: markets execute on trust, and S&P anchors it - on every rail. Our data, identifiers, benchmarks, indices and risk assessments are the infrastructure of trusted workflows, and they must be as authoritative onchain as they are today. This is a small, senior team with an enterprise mandate to make that happen: set direction, prioritize where the firm invests, unblock divisions, and land the external partnerships that de-risk each initiative. The team is deliberately lean. It is not a shadow product organization and not a research function. Divisions own delivery and revenue; this team sets the agenda, sponsors funding, brings partners to the table and holds the enterprise to a bias for in-production outcomes rather than pilots. Delivery capacity is drawn from divisional execution pods and from Kensho engineering. The role has two direct reports at the outset, with scope to grow as the portfolio warrants. Responsibilities and Impact Enterprise Strategy, Prioritization & Capital Allocation Own the enterprise digital assets and tokenization strategy day-to-day, translating it into a prioritized, funded and sequenced portfolio of initiatives across divisions. Run a single intake for divisional requests and enterprise-originated opportunities; apply and continuously sharpen the "Start Now" screening criteria and stage gates covering division readiness, resourcing, partner commitment and regulatory sensitivity. Co-own and sponsor business cases that secure investment at both enterprise and divisional level; make explicit recommendations on what to start, what to hold and what to stop. Maintain a defensible, evidence-based view of market direction - tokenization economics, onchain market structure, and the AI blockchain intersection - and use it to keep the firm's portfolio ahead of, not behind, client demand. Delivery & Execution with Divisions Drive priority initiatives to in-production status with paying customers, augmenting divisional teams that lack capacity, depth or delivery muscle. Appoint and hold a single accountable owner for each enterprise or divisional opportunity; empower them to execute and remove the obstacles they cannot clear themselves. Build the playbooks, trained people and repeatable processes that divisions own after handover, so central involvement is time-boxed by design. Maintain a live enterprise view of initiative milestones, decisions and dependencies; cut duplication and connect complementary work across divisions. External Partnerships & Commercial Development Build and personally hold senior relationships across the institutions that matter most in onchain capital markets - onchain-native platforms, issuers, protocols and infrastructure providers, and the banks, asset managers and market infrastructure firms moving onto these rails. Negotiate partnerships in which counterparties co-invest, commit to production use and provide the requirements that ensure fit within their workflows; avoid peripheral collaborations that consume time without producing adoption. Shape commercial constructs for onchain distribution - consumption and per-call economics, licensing terms, and pricing models suited to agent- and protocol-mediated consumption - in partnership with divisional commercial and legal teams. Represent S&P Global externally with credibility: conferences, standards bodies, working groups, industry consortia, and direct engagement with founders, investors and executives. Internal Alignment, Governance & Risk Convene and run the enterprise governance forum for digital assets, preparing the material and framing the decisions that senior sponsors need to make. Align divisions, corporate functions and enterprise leadership behind a shared set of priorities, resolving competing interests and sequencing trade-offs so that initiatives advance on mutual benefit rather than mandate. Keep Legal, Risk and Compliance sighted on everything in flight; run a lightweight, fast checkpoint before any initiative moves from exploration to pilot or commitment, protecting the firm from legal, compliance and reputational exposure. Escalate cleanly and early: surface new opportunities, emerging risks and stop decisions to the governing council with a clear recommendation. Leadership & Influence Lead a small, high-calibre team and grow it as the portfolio warrants; set a standard of ownership, pace and evidence-based argument. Work with talent and engineering leadership to build protocol and AI blockchain capability across the firm, including through Kensho. Act as a trusted advisor to divisional and enterprise leaders: direct about trade-offs, credible on the technology, and grounded in commercial reality. Operate almost entirely through influence rather than direct authority, across a global, matrixed organization. What We're Looking For Required Qualifications 10+ years of experience in capital markets, asset management, financial data and infrastructure, or digital assets, including senior roles with enterprise-wide or firm-building scope. Demonstrated hands-on experience in digital assets: tokenized products, digital asset funds or indices, onchain infrastructure, or the operational and control build-out required to bring them to market. Operator experience is valued well above observer experience. Proven track record of standing up new businesses, products or functions from zero to production, including vendor, counterparty and partner selection, launch, and the operating processes that sustain them. An established external network across onchain-native firms and traditional financial institutions, and the credibility to open and hold senior relationships from a standing start. Commercial judgment: experience building business cases, structuring partnerships and commercial terms, and making disciplined calls on where to invest and where to walk away. Demonstrated success aligning competing priorities and stakeholder interests across independent business units, and delivering through influence rather than direct authority. Executive-level communication: able to brief senior leadership and external principals with equal clarity, and to challenge as well as partner. Comfort operating within regulatory, legal and compliance constraints, and partnering with control functions to move quickly without creating exposure. Preferred Qualifications Experience launching regulated, index-linked or benchmark-linked products, or working with ratings, reference data, identifiers or index production. Sufficient technical fluency in blockchain architecture, smart contracts and onchain data to engage engineering teams and partners substantively; a hands-on engineering background is not required. Experience building and scaling small teams, and handing capability over to larger organizations. Exposure to board, investment committee or council-level governance. Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $185,000 to $265,000 . 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 eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . . click apply for full job details

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. 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, CI/CD, 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 the two halves into a single agentic PDLC, establishing the traceable thread 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 rather than in status decks. 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 both the 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 both disciplines, 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 practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. 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 ROI, 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. Compensation/Benefits Information: 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 . What We're Looking For: Basic Required Qualifications: 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. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the 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, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned 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. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led 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. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details

This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Cyber Engagement Program Lead Description - Role Summary We are seeking a highly motivated Cybersecurity Engineer with 5-7 years of experience in enterprise security architecture, process transformation and AI-driven security solutions. This role requires an individual who can understand cybersecurity processes end-to-end, identify improvement opportunities, drive operational excellence, and partner with business and technology stakeholders to strengthen the organization's security posture. The ideal candidate will combine technical expertise, process optimization, automation, and strong stakeholder management skills to support cybersecurity initiatives, enhance compliance, and contribute to enterprise-wide cybersecurity transformation. Key Responsibilities Cybersecurity Process Management & Transformation Drive cybersecurity transformation initiatives focused on improving efficiency, governance, automation, and risk reduction. Analyze existing cybersecurity processes, identify bottlenecks, and implement improvements to streamline workflows and reduce cycle times. Establish and enhance operational processes, controls, governance mechanisms, and reporting frameworks across cybersecurity functions. Support continuous improvement initiatives by leveraging data, automation, and industry best practices. Enterprise Security Architecture Support the implementation and adoption of enterprise security architecture principles and security-by-design practices. Contribute to the development and enhancement of security frameworks, standards, reference architectures, and architectural controls. Application Security & Tool Adoption Support the adoption and optimization of application security tools and secure coding practices. Track and improve security tool utilization, coverage, and effectiveness across engineering teams. Partner with stakeholders to drive remediation activities resulting from code scanning, container security, and application security assessments. Artificial Intelligence (AI), Agentic Security & Automation Identify opportunities to leverage Generative AI, intelligent agents, machine learning, and workflow automation to streamline cybersecurity processes. Contribute to AI-powered analytics, dashboards, predictive insights, and decision-support capabilities. Evaluate emerging AI, Security Copilot, autonomous agent, and intelligent automation technologies for cybersecurity use cases. Support AI governance activities, Responsible AI principles, and AI security risk management practices. Required Qualifications Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field. 5-7 years of experience in cybersecurity, security engineering, application security, security governance, vulnerability management, risk management, or related disciplines. Strong understanding of cybersecurity frameworks and industry standards such as NIST CSF, ISO 27001, ISO 42001, CIS Controls, OWASP, or similar. Experience in cybersecurity process improvement, governance, operational management, and transformation initiatives. Understanding of enterprise security architecture principles and security engineering concepts. Knowledge of Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), AI governance, and AI security risks. Preferred Qualifications Experience supporting cybersecurity transformation programs. Exposure to cloud security, DevSecOps, Zero Trust, and modern security architectures. Experience implementing AI-enabled security tools, Security Copilots, intelligent assistants, or agentic AI solutions. Familiarity with AI governance frameworks, Responsible AI principles, NIST AI RMF, ISO 42001, or similar standards. Relevant certifications such as CISSP, CISM, Security+, CCSP, GSEC, Azure Security Engineer, or equivalent. The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "

This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Platforms Analytics and Governance Lead Description - Job Summary The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization. This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives. Responsibilities Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI. Define platform standards, governance policies, and model consumption guidelines. Evaluate emerging AI technologies and recommend adoption strategies. Partner with security, legal, privacy, and compliance teams. Develop budget guardrails and cost allocation strategies. Create consumption forecasting models and executive dashboards. Identify optimization opportunities including: Prompt engineering Prompt caching Model routing Token reduction Context window optimization RAG optimization Batch processing Agent orchestration improvements Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects. Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends. Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs. Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups. Drives innovation and integration of new data science related technologies and practices into projects and activities in the business. Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions. Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans. Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment. Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements. Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions. Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field. Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Agile Methodology • Business Intelligence • Computer Science • Dashboard • Data Analysis • Data Management • Data Modeling • Data Quality • Data Science • Data Visualization • Data Warehousing • Extract Transform Load (ETL) • Machine Learning • Power BI • Python (Programming Language) • R (Programming Language) • SAS (Software) • SQL (Programming Language) • Statistics • Tableau (Business Intelligence Software) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts large functions and leads large, cross-division functional teams or projects. Complexity Provides highly innovative solutions to complex problems within established policy. Pay & Benefits The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 The Team: Our Technology Governance & Delivery Enablement team at S&P Dow Jones Indices drives operational excellence through Lean Portfolio Management and Agile ways of working across complex product portfolios, value streams and Agile Release Trains. We foster a collaborative culture focused on accelerating technology delivery while embedding innovative AI-enabled practices and Responsible AI governance. As a globally minded team, we value continuous learning, transparency, accountability, and high-performing cross-functional partnerships that deliver measurable business outcomes at scale. Responsibilities and Impact: Lead planning and execution of Program Increments across one or more Agile Release Trains, ensuring alignment between business strategy, portfolio priorities, value stream goals, and measurable delivery outcomes. Drive PI Planning readiness by partnering with Product Management, Business Owners, and Technology leadership on vision, roadmap, backlog readiness, dependency identification, capacity planning, and pre- and post-PI planning activities. Facilitate core ART operating events including PI Planning, ART Sync, Scrum of Scrums, System Demos, and Inspect & Adapt sessions to improve predictability, quality, transparency, and execution alignment across teams. Partner with Product Management and Technology teams to support release-on-demand planning for prioritized epics and features while managing cross-team and cross-ART dependencies, risks, and impediments. Coach and develop Scrum Masters and Flow Masters to build high-performing, self-organizing teams while championing adoption and scaling of Lean-Agile, SAFe, Kanban, and continuous improvement practices across the enterprise. Enable economic and data-driven decision-making by facilitating feature and capability estimation, applying Agile and flow metrics, and using AI-enabled insights to improve forecasting, capacity planning, bottleneck visibility, and risk management. Serve as a trusted change agent and voice of reason across complex stakeholder groups, using strong facilitation, conflict resolution, consensus-building, situational awareness, and transparent communication to drive alignment and accountability. Drive continuous improvement through Inspect & Adapt outcomes, program-level metrics, delivery health indicators, team maturity insights, and systemic improvements that advance organizational agility and business value delivery. Embed Responsible AI practices across value streams, ensuring adherence to governance standards for human oversight, data privacy, ethical use, technical safeguards, and AI-supported decision-making. Use AI-enabled knowledge management practices to capture decisions, action items, delivery insights, and program knowledge to support onboarding, transparency, and consistent execution across the ART. What We're Looking For: Basic Required Qualifications: Minimum 7+ years of Agile delivery leadership experience, including significant Release Train Engineer experience across product teams and 5+ years of people management experience in complex, matrixed organizations. Proven expertise in SAFe framework, Agile Release Train execution, PI Planning, ART Sync, Scrum of Scrums, System Demos, Inspect & Adapt, and cross-team dependency management. Demonstrated experience operating at Program and/or Portfolio levels, aligning execution to business strategy, portfolio priorities, value stream objectives, and measurable business outcomes. 3+ years of experience as a team-level or program-level Agile coach, with ability to coach Scrum Masters, Flow Masters, Agile teams, leaders, and stakeholders to improve Agile maturity and delivery effectiveness. Strong facilitation, stakeholder management, conflict resolution, consensus-building, and communication skills across business, product, technology, and leadership audiences. Analytical mindset with proven experience leveraging Agile and flow metrics, such as delivery predictability, throughput, cycle time, cumulative flow, burn-up/burn-down, quality trends, and business value measures, for data-driven decision-making and continuous improvement. Experience with Agile project management, collaboration, reporting, and knowledge management tools such as Azure DevOps, JIRA, Confluence, Power BI, Microsoft Teams, SharePoint, VersionOne, or similar platforms. Understanding of enterprise software development, product development lifecycle, DevSecOps practices, Lean Portfolio Management, and value stream delivery. Exposure to AI-enabled tools or analytics that support planning, forecasting, risk visibility, knowledge management, delivery insights, and team productivity within Agile ways of working. Additional Preferred Qualifications: Bachelor's degree in Business, Technology, or a related field; Master's degree preferred. Financial services industry experience, particularly within complex enterprise technology environments. SAFe Release Train Engineer certification preferred, with additional certifications such as SAFe Program Consultant, SAFe Agilist, SAFe Lean Portfolio Management, or relevant Agile coaching certifications considered a plus. Prior experience as a Value Stream Engineer, Release Train Engineer, Agile Coach, or similar enterprise Agile leadership role. Deep knowledge of advanced Agile and engineering practices including BDD, ATDD, TDD, CI/CD, automation, Kanban, DevSecOps, and continuous improvement practices. Experience applying AI-powered tools, predictive analytics, or automation to improve capacity planning, risk forecasting, delivery optimization, documentation, and decision support within Agile frameworks. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $170,000 to $190,000. 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. This role is eligible to receive additional S&P Global benefits. About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning . click apply for full job details