Sr Operations Specialist, Operations

S&P Global • Dallas, TX

1d • $53,084 - $76,500

About The Position

The ESG Data Owner role sits within the Data Enablement team at S&P Dow Jones Indices. The team supports the management, validation, and delivery of datasets used in the maintenance and rebalance of S&P Dow Jones indices across multiple asset classes. This role will focus on ESG data used in equity and fixed income indices, including datasets such as GHG emissions, physical risk, ESG scores, and related sustainability data. You will help ensure these datasets are accurate, well-documented, and ready for use by internal stakeholders. You will work closely with technical, operational, and index teams to support reliable data delivery, improve data quality checks, and maintain clear data governance practices, including documentation, lineage, controls, and issue resolution. As an ESG Data Owner, you will play a central role in the day-to-day management, quality, and governance of ESG data used across S&P Dow Jones equity and fixed income indices. You will help ensure ESG datasets are complete, accurate, timely, and fit for use in index operations and analytics. This role acts as a key point of coordination between data operations, technology, index management, analytics, and vendor teams. You will support the onboarding of new datasets, help define data requirements, monitor data quality, investigate issues, and contribute to improvements in ESG data processes and controls.

Requirements

• Bachelor's degree in Data Science, Finance, Economics, Mathematics, or a related field.
• 1–3 years of professional experience in data analysis, data management, ESG data, sustainability, indexing, or a similar financial or data-driven field.
• A foundational understanding of ESG frameworks, ratings methodologies, and sustainability data (e.g., GHG emissions, physical risk, ESG scores) and their application in financial indices.
• A foundational understanding of financial markets (equity & fixed income) and indexing concepts.
• Strong analytical and quantitative skills with the ability to work with large data sets.
• Proficiency in Python and SQL for data analysis, manipulation, and visualization with a willingness to further develop these skills in a financial data environment.
• Good written and verbal communication skills with the ability to explain complex topics clearly.
• Strong attention to detail and ability to manage multiple priorities and deadlines in a structured, process-driven environment.
• Ability to work collaboratively in a fast-paced, global environment.

Nice To Haves

• Awareness of ESG-related regulatory frameworks (e.g., EU Taxonomy, SFDR, TCFD) and their implications for index construction and data requirements.
• Familiarity with ESG data providers (e.g., S&P Global Sustainable1, Sustainalytics, CDP, SBTi).
• Experience in project management and implementing process improvements.
• Exposure to data governance frameworks, data lineage concepts, or master data management practices.
• Experience with data visualization tools (e.g., Tableau, Power BI) or cloud-based data platforms (Databricks).

Responsibilities

• Manage ESG datasets across the data lifecycle, including ingestion, validation, quality review, documentation, and delivery for index use.
• Support the preparation and maintenance of ESG datasets such as GHG emissions, physical risk, ESG scores, and other sustainability-related data.
• Apply data standards, taxonomies, and governance controls to help maintain a consistent and trusted version of ESG data across index and analytics workflows.
• Design, run, and improve data quality checks to identify gaps, inconsistencies, outliers, and other data issues.
• Investigate and resolve data quality issues in collaboration with technology, operations, index management, and vendor teams.
• Help define data requirements for new or updated ESG data feeds, including field definitions, validation rules, lineage requirements, and operational handoff needs.
• Support the onboarding of new ESG datasets and help ensure they are integrated into existing systems and processes in a controlled and documented way.
• Maintain clear documentation of data sources, business rules, validation checks, known limitations, and data lineage.
• Act as a point of contact for internal ESG data questions, working with index managers and other teams to clarify data usage, resolve queries, and support methodology alignment.
• For complex data cases, prepare analysis and recommendations to support review by index managers, committees, or relevant internal stakeholders.
• Coordinate with ESG data vendors to clarify data definitions, delivery standards, issue resolution, and data changes.
• Stay informed on ESG market developments, data standards, and regulatory themes that may affect ESG data requirements.
• Prepare data analysis summaries, issue logs, and reporting materials to support internal reviews and stakeholder discussions.
• Support responses to client or stakeholder questions by providing accurate ESG data information through internal teams such as Client Services or Index Services.

Benefits

• Health care coverage designed for the mind and body.
• Generous time off helps keep you energized for your time on.
• Access a wealth of resources to grow your career and learn valuable new skills.
• Competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Perks for your partners and little ones, too, with some best-in class benefits for families.
• Retail discounts to referral incentive awards

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level