Datafeed Solutions Specialist
Job Summary
Grade Level (for internal use):
09The Role
The Datafeed Solutions Specialist is an advanced technical support role within the Datafeed Solutions Team responsible for resolving complex client issues managing technical escalations and serving as a subject matter expert for Analysts and stakeholders.
Working closely with Commercial Product and Technology teams the Specialist investigates technical issues supports incidents and migrations identifies recurring problems and contributes to client enablement knowledge management and process improvement initiatives. The role also helps prepare the team for emerging technologies including AI-enabled workflows MCP AIRD and evolving machine-delivery solutions.
The successful candidate will develop expertise across datasets APIs cloud delivery platforms data integration technologies and AI-related support workflows.
The Datafeed Solutions Team enables clients to access integrate and use datasets through APIs WebSocket cloud platforms and other machine-delivery technologies.
The team supports integrations entitlement management troubleshooting incidents migrations onboarding usage reviews and client retention initiatives while developing technical documentation automation and client enablement resources in partnership with Commercial Product and Technology teams.
With team members in Manila and Islamabad the team provides global support coverage and operational resilience.
The Datafeed Solutions Specialist enhances the teams ability to resolve complex technical issues improve client experience and strengthen technical capabilities across the organization.
As a technical escalation point and mentor the role supports Analysts through coaching troubleshooting guidance and knowledge sharing while driving readiness for new products technologies and support responsibilities.
- Become a trusted technical support partner within S&P Global Energys Commercial organization.
- Collaborate with clients and cross-functional teams across Commercial Product and Technology.
- Build expertise in APIs cloud platforms data integration AI-enabled solutions MCP AIRD and emerging technologies.
- Develop technical leadership through escalation management mentoring training and complex problem solving.
- Contribute to automation innovation process improvement and client enablement initiatives.
- Gain exposure to future career opportunities across Commercial Operations Client Service Operations Product and Technology functions.
- Serve as the technical escalation point for Analysts and clients providing advanced troubleshooting and investigation support.
- Diagnose and resolve issues involving APIs WebSocket authentication authorization entitlements cloud platforms connectivity dataset delivery and client integrations.
- Manage technical escalations incidents outages migrations onboarding activities and infrastructure changes coordinating with Commercial Product and Technology teams.
- Identify recurring or systemic issues and drive appropriate escalation and resolution efforts.
- Support emerging technologies and solutions including AI-enabled workflows MCP AIRD and related data-delivery platforms.
- Evaluate AI-related concerns to determine whether issues stem from prompting retrieval configuration integration model behavior products or underlying datasets.
- Provide technical coaching training knowledge transfer and case guidance to Analysts.
- Develop and maintain troubleshooting guides knowledge articles reusable scripts API examples developer resources FAQs and client enablement materials.
- Provide client and operational feedback to support enhancements to products APIs support tools and processes.
- Monitor dataset usage and identify opportunities to improve client adoption engagement and retention.
- Support workflow prioritization service management shift handovers and business continuity activities across regional teams.
- Bachelors degree in Computer Science Information Technology Computer Engineering Data Science or a related discipline or an equivalent combination of education and relevant professional experience.
- Experience working directly with clients or customers managing technical inquiries issue resolution escalations and stakeholder communications in a customer-facing environment.
- Relevant experience in technical support application support API support data support client service or a comparable technical environment.
- Experience handling complex technical issues advanced troubleshooting and client escalations.
- Experience providing technical guidance knowledge transfer case coaching or training to colleagues.
- Strong written and verbal communication skills with the ability to explain technical information clearly to clients and internal stakeholders.
- Strong analytical diagnostic troubleshooting and root-cause-analysis skills.
- Working knowledge of RESTful APIs HTTP methods JSON authentication authorization API responses and common API troubleshooting tools.
- Familiarity with databases SQL structured data data integration and cloud-based delivery technologies.
- Familiarity with large language models (LLMs) prompting retrieval concepts AI agents model integration and structured datasets used in AI-enabled applications.
- Practical experience supporting testing developing configuring or troubleshooting AI-enabled applications AI agents or related workflows.
- Familiarity with Model Context Protocol (MCP) including experience with MCP-based tools clients servers integrations or supported workflows.
- Ability to analyze and troubleshoot complex technical and AI-related issues distinguish between implementation and underlying product or dataset concerns and document investigations solutions and best practices effectively.
- Ability to quickly learn new technologies adapt to evolving products and support requirements and collaborate effectively with globally distributed teams while working independently when required.
- Ability to work rotating shifts covering APAC EMEA and Americas support hours.
- Understanding of energy commodities financial data or enterprise data-delivery workflows.
- Proficiency in Python including the ability to write maintainable code create reusable examples automate tasks and troubleshoot client integrations.
- Working knowledge of cloud databases data lakes and delivery platforms such as Snowflake Databricks and AWS.
- Experience supporting WebSocket cloud data-sharing certificate network or API integration workflows.
- Experience supporting client implementations migrations infrastructure changes technical onboarding or production incidents.
- Experience creating technical documentation knowledge articles client learning materials or Developer Portal content.
- Familiarity with AIRD or similar AI-ready datasets data-delivery solutions or AI-enabled platforms.
About S&P Global Energy
At S&P Global Energy our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.
S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses governments and individuals with trusted data expertise and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks data and insights that customers need in order to plan confidently act decisively and thrive economically in a rapidly changing global landscape. Learn more at In It For You
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Our People:
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