Data Steward - Geospatial

About the Role

Grade Level (for internal use):

10

The Geospatial Solutions team sits within the Data Stewardship pillar of SPGI’s Enterprise Data Organisation and focuses on building scalable, reproducible geospatial solutions that support enterprise data initiatives. The team values standardization, collaboration, and knowledge sharing, working closely across EDO Geospatial and with partner verticals such as Partnerships and Operations to ensure alignment, data integrity, and shared innovation.

The team dynamic is collaborative, solution-oriented, and driven by natural problem‑solving, bringing together geospatial expertise and engineering best practices to deliver consistent, high‑quality geospatial capabilities across SPGI.

• Steward and maintain authoritative spatial datasets, ensuring geodetic integrity, attribute consistency, and alignment with enterprise geospatial standards.
• Implement and oversee robust data quality, QA/QC, and validation processes to identify and remediate spatial, topology, and schema issues.
• Design, build, and optimise scalable geospatial ETL workflows using tools such as FME, Python, and cloud‑native technologies.
• Automate data ingestion, validation, and delivery pipelines to improve reliability, efficiency, and reduce manual processes.
• Collaborate closely with operations, product and technology teams to ensure accurate updates to spatial data and integration into enterprise platforms and client‑facing products.
• Contribute to geospatial modernisation initiatives across SPGI, including standardisation, cloud adoption, and preparing geospatial datasets for advanced analytics and AI‑driven use cases.

Basic Key Qualifications

• Bachelor’s degree in Geography, Geospatial Science, GIS, Computer Science, Engineering, or a related field (or equivalent experience).
• Strong experience in geospatial data management, governance, and spatial data quality assurance.
• Hands‑on experience building and maintaining geospatial ETL pipelines using tools such as FME, Python, and GIS platforms.
• Strong understanding of spatial data standards, coordinate reference systems (CRS), topology, and geodetic principles.

• Strong analytical thinking and natural problem‑solving ability.
• Ability to collaborate effectively with both technical and non‑technical stakeholders.
• Strong attention to detail and commitment to data quality and accuracy.
• Clear communication and documentation skills in a collaborative environment.

Preferred Key Qualifications

• Experience working with large‑scale/global infrastructure or spatial datasets (e.g., pipelines, utilities, transportation).
• Experience with cloud‑based geospatial data platforms or modern data engineering workflows.
• Familiarity with spatial ecosystems, open‑source GIS tools (e.g., QGIS), spatial databases (e.g., PostGIS/Oracle/ESRI), APIs, and enterprise data platforms.
• Experience supporting data standardisation, governance frameworks, or geospatial modernisation initiatives.

• Proactive mindset with the ability to identify improvement opportunities.
• Strong stakeholder engagement and cross‑team collaboration skills.
• Curiosity and willingness to learn new tools, technologies, and approaches.

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.

Integrity, Discovery, Partnership.