Engineering - Client Data Stewardship - Analyst

Goldman Sachs is hiring for the role of Engineering - Client Data Stewardship - Analyst!

Responsibilities of the Candidate:

• Steward core client and legal entity data so it is consistent, well-documented, and aligned to firm-wide standards and controls.
• Partner with data producers and consumers to translate business needs into clear data definitions and models for client and entity data.
• Monitor and improve data quality by identifying gaps, resolving discrepancies, and driving root-cause remediation with upstream teams and external data vendors.
• Coordinate with external data providers (e.g., GLEIF, FactSet, Bloomberg) to validate and enhance entity data coverage and accuracy.
• Support the rollout and adoption of firm data platforms and processes that make high-quality data easier to access and use.
• Maintain playbooks and procedures for creating, updating, and certifying master data; ensure adherence to governance and regulatory requirements.
• Provide guidance and training to business users on entity data standards, terminology, and best practices.
• Track and report quality metrics and business outcomes; propose process improvements and automation opportunities to increase reliability and reduce manual effort.
• Collaborate across regions (Salt Lake City, Bengaluru, Singapore, Sydney) to ensure consistent execution and knowledge sharing.

Requirements:

• Bachelor's degree or equivalent experience(Engineering degree preferred).
• 1 -3 years of experience in data stewardship, data management, or a related analytical role within a team-oriented environment.
• In-depth knowledge of relational and columnar SQL databases, including database design.
• Strong understanding of data governance, data quality concepts, and how trusted data enables business processes.
• Ability to translate business requirements into clear data definitions and acceptance criteria.
• Comfortable working in agile, fast-paced settings; organized with strong follow-through.
• Excellent communication skills; able to work with subject matter experts and stakeholders to clarify concepts and resolve issues.
• Analytical mindset with a bias for action; focuses on measurable business impact and timely delivery.
• High ownership, professionalism, and attention to detail.

Preferred Qualification:

• Experience in financial services or familiarity with client, counterparty, and issuer data domains.
• Exposure to enterprise data platforms and master data processes; interest in open-source data tooling.
• Working knowledge of data quality measurement, issue remediation, and vendor data onboarding.