S&P Global

Support Engineer

• Join our dynamic Infrastructure & Operations team at S&P Global commodity Insights division as an Apprentice Application Support Analyst.
• Provide operational and technical support for business-specific applications and systems.
• Collaborate with Infrastructure support teams and assist business partners with first-line remote support for IT issues.
• Follow standard operating procedures for incident and service requests, proactively monitor applications, respond to alerts, and provide periodic health check reports.
• Our team operates 24/7, requiring flexibility to work during APAC, EMEA, or AMER hours, including weekends on a rotational shift basis.

Apprentice Application Support Analyst

Business Development Rep

• Manage a team of BDM’s (Business Development Managers) sales reps
• Focus on creating partnerships with our auto dealership customers
• Work with internal lead generation sources (SDG Team) to help develop your team’s pipeline
• Utilize online and offline marketing sources to cultivate new leads for your team.
• Maintain a high level of relevant domain knowledge to effectively lead presentations to senior managers (GM’s of dealerships), other decision makers, and influencers
• Determine weekly, monthly, and annual sales and territory plans, analyze trends/ results and adapt strategies to meet plans
• Establish sales objectives overseeing forecasting and developing annual sales quotas for regions and territories, projecting expected sales volume and contributions
• Develop, implement and monitor effective sales strategies
• Maintain sales volume, product mix, and selling price by keeping current with supply and demand, changing trends, economic indicators, and competitors
• Work closely with Product Marketing to establish SAL’s & MQL’s (Sales & Marketing Qualified Leads)
• Maintain regional sales staff by recruiting, selecting, orienting, and providing ongoing training for the sales team.
• Work closely with the Internal Enablement Team and SR BDMs to continue to develop BDM’s
• Conduct weekly 1:1’s with your team to coach, mentor, and hold them accountable to KPI’s
• Monthly BDM KPI’s (4 BD sourced demos, 9 Completed demos, 50-80K in Pipeline Creation & 200 logged activities in SalesForce)
• Engage, negotiate and close agreements with large automotive customers as requested
• Monitor and analyze performance metrics and suggest improvements
• Work with Strategic Development Managers to build pipeline and close Mid-Tier Dealer Groups
• In conjunction with Sales Operations prepare accurate monthly, quarterly and annual sales forecasts
• Identify potential customers and new market opportunities by networking with other industry professionals and OEM’s
• Liaise with Marketing and Product Development departments to ensure brand and development consistency
• Stay up to date with new product launches and ensure sales team members are informed and on board

Director, Business Development

• Manage a team of BDM ’s (Business Development Managers) sales reps
• Focus on creating partnerships with our auto dealership customers
• Work with internal lead generation sources (SDG Team) to help develop your team’s pipeline
• Maintain a high level of relevant domain knowledge to effectively lead presentations to senior managers (GM’s of dealerships), other decision makers, and influencers
• Determine weekly, monthly, and annual sales and territory plans, analyze trends/results and adapt strategies to meet plans
• Establish sales objectives overseeing forecasting and developing annual sales quotas for regions and territories, projecting expected sales volume and contributions
• Develop, implement and monitor effective sales strategies
• Maintain sales volume, product mix, and selling price by keeping current with supply and demand, changing trends, economic indicators, and competitors
• Conduct weekly 1:1’s with your team to coach, mentor, and hold them accountable to KPI’s.

Data Scientist

• Lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate.
• Define the AI/ML roadmap for Enterprise Solutions while building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction.
• Ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny.
• Work closely with engineering, data platform, and product teams to take models from problem definition through to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management.
• Get involved early in complex or high-risk analytical problems and step in when models degrade or fail in production.
• Know when to apply advanced modelling, when simpler approaches are sufficient, and when modelling is not appropriate.

Executive Director – Data Science

Data Engineer

• Deep hands-on experience in one or more financial-services domains, such as public or private markets, syndicated lending, securities processing, counterparty or client lifecycle management, or regulatory reporting.
• Strong understanding of end-to-end workflows relevant to those domains (e.g. trade lifecycle, processing, reporting, reconciliation), and how data moves through systems.
• Experienced in building medium to long term technology roadmaps and strategy.
• Experience integrating and operating AI /ML, or agent-enabled components as part of broader systems, with attention to reliability, explainability, operational controls, and failure modes.
• Experience designing systems where data quality, lineage, controls, and auditability are required and visible, not implicit.
• Able to reason about domain-driven failure modes (late data, breaks, mismatches, reconciliation issues, regulatory deadlines) and design systems that surface and handle them cleanly.
• Acts as a domain-aware technical partner to segment leads and delivery teams.
• Strong experience designing and building distributed, data-intensive, and event-driven systems in financial services or similarly regulated environments.
• Hands-on experience producing detailed designs and reference implementations and working directly with teams to turn designs into running systems.
• Strong judgment around system behaviour in production, including performance, failure modes, resilience, recovery, and risk isolation.
• Practical experience with cloud platforms (AWS, Azure, GCP), including managed services, multi-tenant designs, and cost/performance trade-offs.
• Hands on experience in reviewing, writing, and improving production code, and working closely with senior engineers on complex problems.

Executive Director, Data Architecture

SDET

• Establish enterprise-wide AI and agentic systems architecture standards, reusable patterns, and reference models.
• Define the reference architecture for deploying Autonomous Agents and Multi-Agent Systems (MAS) within the enterprise infrastructure.
• Architect end‑to‑end model lifecycle platforms—including training, evaluation, deployment, and monitoring—and integrate with enterprise MLOps/AIOps capabilities.
• Lead the transition from deterministic RPA (task automation) to probabilistic, reasoning-based Agentic workflows.
• Work with the Enterprise Agent Framework (EAF) initiative to establish governance, guardrails, and "human-in-the-loop" protocols for autonomous system decision-making.
• Partner with InfoSec to embed AI‑specific risk management, zero‑trust patterns, and regulatory compliance into all automation and agentic workflows.
• Define standards for model selection (LLM vs. SLM), retrieval augmentation, vector indexing, and tool‑calling frameworks.
• Partner with Enterprise Program Management Office (EPMO) COE and business stakeholders to deconstruct legacy workflows, identifying bottlenecks that require architectural redesign rather than simple digitization.
• Apply systems thinking to simplify and synthesize processes before automating them, ensuring we do not automate inefficiency.
• Create a process ‘digital twin’ capability to simulate workflow changes before production deployment.
• Own the architecture for technology stack for hyper-automation (e.g., RPA platforms, Orchestrators, iPaaS, and Vector Databases).
• Design the integration layer that allows AI Agents to securely interact with core systems of record (ERP, CRM, ITSM).
• Oversee the "Automation Center of Excellence" (CoE) strategy, setting standards for code reusability and bot lifecycle management.
• Lead a specialized team of solution architects and engineers.
• Act as the primary liaison between the DTS and DS groups, EPMO/Transformation office, and key business stakeholders, translating complex AI and automation capabilities into tangible ROI.

Head of DTS AI and Automation Architecture

Product Manager

• Help define and execute the product development strategy, considering broad market trends and client needs.
• Support the suite of Multi-Asset Indices and products via analysis and content creation for thought leadership materials (pitch decks, blogs, white papers, videos, and other media).
• Work closely with the Research and Design team on index design.
• Help oversee the index launch process: plan the overall project, coordinate across internal teams, and manage timelines with internal and external stakeholders.
• Collaborate with product management team members and support global initiatives.

Senior Specialist, Multi-Asset Product Management

Project Manager

• Serve as the primary liaison between clients and cross-functional internal teams, driving seamless communication and project execution.
• Lead all phases of project management: definition, planning, tracking, execution, and control, with a focus on transparency and stakeholder alignment.
• Build and maintain trust-based relationships with clients at all organizational levels, ensuring their needs and expectations are met.
• Facilitate project and executive steering committee meetings to align stakeholders and drive strategic outcomes.
• Champion continuous improvement initiatives within the Project Management Office, leveraging best practices and lessons learned.
• Collaborate with internal and external partners to resolve escalated issues efficiently and transparently, focusing on root-cause resolution.
• Provide timely, clear status updates and ensure rapid resolution of project-related matters.
• Support migration and upgrade projects, including transitions to cloud-hosted environments (e.g., AWS), ensuring robust planning and risk mitigation.

Project Manager – Lending Solutions

• Lead the design, development, and operation of analytical and machine-learning systems.
• Define the AI/ML roadmap for Enterprise Solutions.
• Build predictive models for anomaly detection, forecasting, and prediction.
• Collaborate with engineering, data platform, and product teams.
• Take models from problem definition through to production operation.
• Involve in high-risk analytical problems and intervene when models degrade or fail.

Graphics Designer

• Own the visual expression of Kensho’s brand, reinforcing our positioning and credibility across channels.
• Manage and uphold Kensho’s brand guidelines, ensuring consistent and effective visual expression of the brand.
• Develop and produce a wide range of brand and marketing assets, including pitch decks, one-pagers, case studies, infographics, social and digital content, and more.
• Partner with the Head of Marketing & Communications to support and strengthen Kensho’s brand storytelling.
• Develop presentations, including executive-level PowerPoint decks, sales enablement materials, and product marketing collateral, shaping flow, emphasis, and clarity, as well as design.
• Collaborate with product, engineering, research, and leadership teams to translate complex AI and technical concepts into clear, engaging visual stories.
• Co-own our social media strategy and execution.
• Co-own Kensho’s website experience, managing content and design updates, and partnering cross-functionally on site enhancements as needed.
• Proactively identify opportunities to elevate Kensho’s storytelling through design, sharing fresh ideas, recommendations, and creative solutions.
• Contribute as a writer across marketing and communications efforts, including presentation copy, website content, and social media posts as needed.
• Collaborate with S&P Global partners to ensure alignment while maintaining Kensho’s distinct voice and visual identity.

Senior Marketing Specialist, Graphic Design – Storytelling

Scrum Master

• In this role, you will be working with a team of enthusiastic members supporting our critical technology systems and guiding our business partners & end users with industry best practices, solution design, and creating long term value to our customers.
• Act as Servant leader to an Agile team.
• Oversee project timelines, dependencies, and milestones, ensuring comprehensive project plans are developed and maintained.
• Facilitate clear communication among all stakeholders, aligning parties throughout the project lifecycle.
• Evaluate and optimize existing SQL queries for performance improvement, leveraging understanding of database structure and data analysis skills.
• Conduct business analysis and requirement gathering sessions to align database solutions with stakeholder needs.
• Collaborate with stakeholders to translate business requirements into technical specifications, ensuring effective database functionality.
• Manage scope changes, risks, and escalate issues as needed, coordinating testing efforts and assisting with technical requirement translation for scrum teams.
• Educate Agile teams to maximize efficiency and performance from agile best practices and values.
• Coach Agile scrum teams in self-organization and continuous improvement.
• Guide the Agile team to consistently deliver customer value.
• Manage risks, mitigate impediments, and negotiate dependencies within and across Scrum teams.
• Facilitate Scrum events such as Daily Stand-ups, Iteration Planning, Refinement sessions, Iteration Reviews, Retrospectives and Quarterly planning.
• Work with Product Owners to ensure features and user stories are clear, concise, prioritized, and understood by every member of the Agile team.
• Establish and maintain open and clear lines of team communication to facilitate status transparency.
• Work with peers, managers, and communities of practice to increase the effectiveness of Agile delivery.

Scrum Master, SQL, Agile, Gen AI

Salesforce Analyst

• Support S&P Global’s CRM system for ongoing excellence in Commercial Operations.
• Collaborate with end users, product owners, and development teams from Order-to-Cash, Salesforce, and Entitlements.
• Proactively analyze technical solutions and identify areas for operational improvement.
• Engage with stakeholders to understand requirements and resolve issues.
• Manage and resolve critical incidents as an active member of the technical support team.
• Assist in creating comprehensive technical documentation and Knowledge Base articles.
• Ensure effective execution of the month-end close process through collaboration and issue mitigation.
• Supervise activities between resources, facilitating smooth workflow for service delivery.
• Monitor user feedback and provide suggestions for improvement to Scrum teams and Product Owners.
• Stay current with field practices and research new technology trends to enhance service standards and delivery.
• Understand end-to-end solutions and integrations within the overall architecture.

Salesforce Business Analyst

• Own the strategic execution of an agentic AI platform, Astra, collaborating with cross-organizational technology teams, internal stakeholders, and technology partners to execute on this platform's roadmap
• Set priorities, create and maintain comprehensive roadmaps, and establish clear objectives for technology teams while managing stakeholder expectations regarding deliverables and timelines
• Manage the engineering team’s backlog with AI assistance and follow standard scrum practices like standups, planning, refinement, etc.
• Manage releases of the platform including ensuring release notes are created and published
• Act as primary liaison between cross-functional teams, business units, and scrum teams to translate business needs into technical solutions and facilitate effective collaboration
• Partner with project architects, technology leads, and Product Managers to align technical decisions and ensure platform scalability, reliability, and maintainability

Product Lead, IT Product Management

Account Manager

• Proactive outreach to assigned accounts to ensure client satisfaction through thorough understanding of customers’ workflow
• Discuss current service use case
• Assess clients' needs for new opportunities and work to close greenfield sales
• Ability to excel in a matrixed environment by coordinating with Prospecting, Customer Success, and Marketing to promote book of business growth
• Manage incoming calls and e-mails from assigned accounts
• Provide client training through a variety of channels
• Contact all new contracts added and users to drive product's adoption
• Act as point person for timely client resolution when engaging cross-functional department across MI organization and provide feedback to product management
• Document all client interactions and actively coordinate outreach efforts with thoughtful use of CRM tool
• Secure renewal through coordination with pod lead, manager, and other teammates
• Demonstrate ability to communicate MI's value subscription pricing effectively and clearly
• Maintain and grow industry knowledge by attending webinars and other topical trainings
• Other tasks as assigned