S&P Global

Backend Engineer

• Complete SDLC: architecture, design, development and support of tech solutions
• Active participation in all scrum ceremonies, follow SAFe best practices effectively.
• Play a key role in the development team to build high-quality, high-performance, scalable code.
• Produce technical design documents and conduct technical walkthroughs.
• Document and demonstrate solutions using technical design docs, diagrams and stubbed code.
• Work collaboratively with business partners to understand and clarify requirements.
• Collaborate effectively with technical and non-technical stakeholders.
• Design and develop industry-leading applications.
• Respond to and resolve production issues.

Big Data Developer – Hadoop, Spark, Java

Financial Planning and Analysis

• Serve as the primary analyst on credit transactions and prepare well-supported rating recommendations for rating committees, with clear rating reports supporting our credit opinion
• Serve as an active, vocal voting member of the rating committee, which deliberates rating outcomes and reviews materials prior to publication
• Publish timely and insightful credit reports as well as contribute to relevant research pieces
• Demonstrate strong knowledge of ratings criteria and financial statement analysis, while staying informed on relevant news and issues affecting credit quality in the municipal bond market
• Evaluate multiple analytical scenarios and communicate rationale clearly in group settings
• Mentor and provide analytic support to more junior analysts

Senior Analyst, Charter Schools – Public Finance

Program Manager

• Leverage your high-quality execution abilities, attention to detail, and strong program management and communication skills to build effective partnerships across the enterprise.
• Be responsible for the successful execution of multi-team, enterprise-wide initiatives that support the company’s strategic direction.
• Develop and oversee comprehensive project plans, ensuring alignment with governance structures.
• Manage day-to-day activities of assigned projects, including requirements gathering, success metrics monitoring, risk/issue management, dependencies, workflows, communications, and presentation material preparation.
• Navigate complex stakeholder relationships, resolve conflicts, and manage the political aspects of stakeholder management.
• Innovate business strategies, techniques, and tools to identify and overcome barriers to success.
• Collaborate with colleagues across a global organization, providing strategic guidance and leadership.

Associate Director, Lead Program Manager

Senior Analyst, Charter Schools – Americas Public Finance

• Create project plans and monitor projects through governance structures.
• Manage day-to-day activities of assigned projects including requirements gathering, identification and monitoring of key success factors and metrics, risk/issue management, dependencies and workflows, communications, plan development and maintenance, and preparation of presentation materials.
• Manage relationships, resolve conflicts, and facilitate and manage the political aspects of stakeholder management.
• Develop business strategies, techniques, and tools to identify barriers to success and facilitate prevention strategies.
• Collaborate with colleagues across a global organization.
• Operate as a first line of communication with junior team members; propose resource allocation improvements.
• Work independently and make appropriate project-related decisions with as-needed guidance from the Group Leader.
• Proactively seek, document, and incorporate stakeholder and customer feedback.
• Recommend plan customizations, as appropriate, to best serve project needs.
• Work on sensitive projects or with sensitive data.

Program Manager, Analyst

Customer Success Manager

• Manage the full customer journey across key lifecycle touchpoints, including onboarding, training, adoption, ongoing engagement, and renewal support.
• Develop and execute proactive and ongoing engagement initiatives across the customer journey in collaboration with Marketing, Product, and account teams.
• Drive continuous service improvement with a strong focus on platform adoption, usage growth, and value realization.
• Build and evolve account profiles in Salesforce, including affiliations, departmental footprint, business priorities, and changes in user needs.
• Deliver role-specific product, workflow, and new-release training in person or virtually, ensuring clients understand and adopt new functionality.
• Partner with Product Specialists and Product Management to understand new enhancements and share client feedback that helps influence the roadmap.
• Leverage usage analytics to identify trends, inform renewal strategies, and uncover opportunities for adoption or potential upsells.
• Develop a deep understanding of client objectives and industry trends and translating that insight into practical recommendations, serving as a trusted advisor across client projects and initiatives.
• Serve as the client’s voice internally and ensuring enhancement requests and recurring themes reach the appropriate teams.
• Use CRM and engagement tools such as Salesforce and SalesLoft or Cadence to track activity, manage outreach, and execute structured engagement plans.

Analyst

• Analyze industry data and information and author forward-looking research reports that track and identify industry trends and company strategies.
• Help research and develop cross-energy thematic research leveraging the breadth of expertise and content generated at S&P Global Commodity insights.
• Support client requests by providing quick and comprehensive answers to questions about research findings.
• Work with guidance to author research deliverables and prepare presentations, often in coordination with globally distributed and time-constrained teams.
• Challenge ideas and influence others across multiple teams.
• Act as a researcher on key projects that the team is developing.

Principal Analyst – Investing in Energy

Full-stack Engineer

• Design, develop, test, document, deploy, maintain, and improve software.
• Work with key stakeholders to develop system architectures, API specifications, implementation requirements, and complexity estimates.
• Test assumptions through instrumentation and prototyping.
• Promote ongoing technical development through code reviews and knowledge sharing.

Software Engineer II

• Support in the research and design of new indices.
• Access, clean and transform complex datasets.
• Build a comprehensive understanding of the process behind and availability of data from our providers.
• Back-test the performance of index concepts to assess fulfilment of investment objectives.
• Utilize programming skills in a proficient manner to:
• Ensure robust and efficient index design.
• Build internal platforms and tools to improve capabilities and resolve repeatable processes.
• Write finalized index methodology documents for external use.
• Prepare and update presentation slides for internal and external events.
• Work within Global Research and Design and other departments to manage projects that will facilitate the design of new indices.

Analyst, Global R&D

Artificial Intelligence

• Define the enterprise AI application strategy, roadmap, and governance frameworks aligned with business objectives
• Lead the design and delivery of production AI applications using LLMs, multi-agent systems, retrieval-augmented generation (RAG), and fine-tuning pipelines
• Architect end-to-end agentic AI workflows: autonomous planning, tool use, memory management, and multi-agent orchestration
• Evaluate and select AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, custom) appropriate to enterprise scale and security requirements
• Champion responsible AI principles - explainability, bias mitigation, auditability, and data privacy
• Design and govern enterprise data models supporting AI feature engineering, vector embedding stores, knowledge graphs, and real-time inference pipelines
• Define ontologies, taxonomies, and semantic layers that enable AI systems to reason over structured and unstructured enterprise data
• Oversee the architecture of data platforms including data lakes, lakehouses, streaming pipelines, and feature stores
• Establish data quality, lineage, and observability standards to ensure model reliability in production
• Own and evolve the enterprise architecture for AI integration across cloud, hybrid, and on-premise environments
• Drive architecture decisions across the full AI stack: model serving, API gateways, orchestration layers, observability, and security
• Align AI architecture with enterprise platforms and integration patterns (event-driven, microservices, API-first)
• Establish architecture review boards, design patterns, and reusable accelerators to scale AI delivery across business units
• Build, mentor, and lead a high-performing team of AI and Software engineers, data architects, and solution architects
• Partner with C-suite, business unit heads, and product leaders to identify and prioritize AI opportunities
• Represent the AI architecture function to executive stakeholders, board-level audiences, and external partners
• Drive a culture of continuous learning, experimentation, and engineering excellence
• Success Metrics (First 12 Months): Deliver an enterprise AI application roadmap adopted by executive leadership; Ship at least two flagship agentic AI applications to production at enterprise scale; Establish reusable AI architecture patterns and accelerators reducing delivery time by 30%+; Build and grow a team of AI engineers and architects; Define, publish, evangelize enterprise AI governance and data modeling standards.

Director, AI-Driven Applications

Content Writer

• Own end-to-end executive deck development: intake, storylining, drafting, design, iteration, and final production for board/SteerCo/C‑suite deliverables.
• Shape the narrative: turn complex inputs (notes, workshops, spreadsheets, strategy docs) into tight story arcs, executive messaging, and decision-ready summaries.
• Design high-impact enterprise PowerPoint: build clean, modern, brand-aligned slides with strong visual hierarchy, consistent layout systems, and polished executive aesthetics.
• Create “so-what” clarity: simplify complexity through sharp headlines, structured arguments, and data storytelling (charts, tables, dashboards, and conceptual diagrams).
• Develop core executive assets: templates, slide libraries, iconography, reusable frameworks, and standardized layouts to improve speed, consistency, and quality.
• Partner with senior stakeholders (e.g., CIO/CTO, Finance, Transformation leads, Program Directors): challenge assumptions, clarify intent, and rapidly incorporate feedback while protecting narrative coherence and design quality.
• Manage multiple concurrent priorities with high quality and confidentiality—often on short cycles aligned to governance cadences (weekly SteerCos, monthly exec reviews, quarterly board packs).
• Maintain rigorous quality control: alignment, spacing, typography, accessibility considerations, and “last-mile” production excellence (print/PDF readiness, file hygiene, versioning).

Executive Presentation Writer, Designer – Board, SteerCo, C Suite

Application Engineer

• AI Application Design & Engineering
• Architect, develop, and deploy AI-driven applications leveraging LLMs, multi-agent systems, RAG, and intelligent automation pipelines
• Design agentic AI workflows including agent planning loops, tool orchestration, dynamic memory, and human-in-the-loop controls
• Own the technical design and build of AI microservices, APIs, and integration layers connecting AI capabilities to enterprise systems
• Lead rapid prototyping and proof-of-concept delivery to validate AI approaches before full-scale implementation
• Ensure production AI applications meet performance, scalability, reliability, and security requirements
• Data Modelling & AI Data Architecture
• Design data models and schemas optimized for AI workloads: feature engineering, vector embeddings, semantic search, and LLM context management
• Build and maintain knowledge graphs, ontologies, and entity resolution pipelines supporting intelligent agent reasoning
• Define data ingestion, transformation, and enrichment pipelines that feed AI feature stores and inference services
• Implement data quality, validation, and drift detection frameworks to maintain model accuracy in production
• Collaborate with data platform teams to architect lakehouse patterns, real-time streaming, and batch processing for AI use cases
• Technical Architecture & Standards
• Design reusable AI solution patterns, reference architectures, and component libraries for enterprise deployment
• Lead technical design reviews and architecture assessments for AI projects across the organisation
• Define and enforce coding standards, testing practices, and MLOps/LLMOps pipelines for AI application delivery
• Evaluate emerging AI frameworks, tooling, and models — providing structured technical recommendations
• Ensure alignment with enterprise architecture standards, security policies, and cloud governance guardrails
• Team Leadership & Delivery
• Lead a team of 4–8 AI/ML engineers and data engineers, providing technical direction, mentorship, and career development
• Manage the delivery of AI application workstreams: planning, estimation, risk management, and quality assurance
• Partner with product managers, data scientists, and business analysts to translate requirements into technical designs
• Champion engineering best practices: code review culture, test-driven development, observability, and documentation standards

Associate Director, AI Application Engineering

Director

• Manage project teams in execution of scope and ensure deliverable quality
• Support project director with client engagement and preparing for discussions
• Deliver project, balancing time and budget while ensuring client satisfaction
• Identify follow on work opportunities to practice leadership
• Scope projects and write proposals
• Develop offering collateral (quals, capability overviews, thought leadership)
• Teach team members analytical and communication skills
• Share industry knowledge and expertise on projects and to team
• Lead by example to foster a culture of partnership, integrity, and excellence
• Apply enterprise capabilities in data science and Gen/Agentic AI to projects
• Create enhanced deliverables (e.g. dashboards, models chatbots, etc.)
• Develop capabilities, automations, and IP to repurpose across projects

Associate Director – Upstream Consulting

QA Engineer

• Work in an Agile environment and adhere to all QA best practices.
• Collaborate with Scrum team members, including engineering and product management, to deliver business functionality on time, with the required quality, and in line with acceptance criteria.
• Develop test cases and scenarios based on requirements and designs; manage defect tracking.
• Initiate, monitor, and control the execution of automated test suites, identifying issues and potential gaps.
• Support QA governance by overseeing test processes, data, and execution metrics to drive team performance improvements.
• Conduct risk analysis for features and projects within your scope of ownership, provide mitigation strategies, and escalate as appropriate.
• Collaborate effectively with both technical and non-technical stakeholders to analyze, debug, and resolve issues.
• Validate data transformations and mappings according to business requirements.

Quality Engineer

Product Marketing

• As a vital member of S&P Dow Jones Indices’ (S&P DJI) multi - asset marketing team, take lead responsibility for spearheading product marketing initiatives that enhance awareness, adoption and engagement of S&P DJI’s multi - asset offerings.
• Develop compelling index solution narratives and content strategies that resonate with target audiences in the evolving insurance, bank and asset management landscape.
• Align product marketing activities—including product launches, content creation, go-to-market strategies and client education—with specific commercial outcomes to position S&P DJI as a leader in the insurance and structured products space.
• Collaborate closely with Product Management, Sales, Marketing and other commercial teams to ensure the alignment and execution of product marketing strategies that drive revenue and market share.