Manager, Data Quality & Controls

The Role:

Morningstar DBRS is seeking a Manager Data Quality & Controls to lead the development and execution of the enterprise data quality and controls program. Reporting to the Senior Director Data Products this role will assess existing controls identify gaps and establish standards processes and governance to ensure critical ratings regulatory and enterprise data is accurate complete well-documented and fit for purpose.

The Manager will drive the data controls roadmap design scalable quality controls and partner across Data Management Credit Operations Technology Legal Risk Compliance and Product teams to embed strong data practices into operations regulatory reporting platform modernization and AI initiatives.

The ideal candidate has experience building or enhancing data governance and control frameworks within a regulated financial services environment and can influence stakeholders across all levels of the organization.

Key Responsibilities

Data Controls & Governance

Lead the design and ongoing enhancement of the enterprise data controls framework including governance standards workflows metrics issue management and remediation processes. Assess existing controls identify gaps and drive improvements that align with regulatory requirements audit expectations and industry best practices. Own the data controls roadmap and promote data stewardship accountability and ownership across the organization.

Standards Procedures & Data Quality

Develop and maintain data governance standards procedures and controls related to data quality metadata lineage documentation classification retention and issue management. Implement data quality checks validations and monitoring processes to ensure critical datasets remain accurate complete and compliant with legal regulatory and internal requirements.

Data Platform & External Feed Controls

Partner with business and technology teams to support platform modernization and data-feed initiatives ensuring data integrity and control continuity throughout migrations and enhancements. Define control requirements for data products integrations APIs analytics and AI-enabled solutions while establishing quality standards and validating migration outcomes.

Leadership & Team Development

Lead and develop a team of data analysts by providing coaching setting priorities and overseeing deliverables. Drive excellence in data quality monitoring metadata management issue remediation and the adoption of data governance best practices and tools.

AI-Ready Data Management

Establish data and metadata standards that support AI analytics and automation initiatives. Ensure datasets are properly documented governed and controlled with clear ownership lineage and quality measures. Collaborate with Compliance Legal Risk and Technology teams to promote responsible AI practices data privacy and transparent use of enterprise data assets.

Qualifications & Experience

• Bachelors degree in Business Economics Finance Data Science Computer Science or Management Studies (Masters a plus).

• 5 years of Proven experience building a data controls governance program in a regulated financial services environment.

• Ability to work independently with senior managers and align stakeholders.

• Strong understanding of controls governance frameworks data quality metadata and lineage.

• Experience authoring policies standards and procedures data-quality controls and KPIs.

• Experience supporting regulatory data and reporting processes; familiarity with data-related regulatory expectations in financial services is a strong asset.

• Prior people-management or team-lead experience with the ability to coach and develop analysts is a plus but not required

Technical Skills

Technical requirements emphasize control execution data-quality oversight and monitoring.

• Cloud and data platforms: exposure to modern cloud platforms: Snowflake Azure or AWS

• Data controls and catalog platforms: experience with metadata lineage and catalog tools such as DataHub Collibra Alation Informatica Microsoft Purview or equivalents.

• SQL: ability to query analyze and validate large datasets in MS SQL Server or similar platforms.

• Data quality and lineage: data profiling reconciliation root-cause analysis and end-to-end lineage documentation.

• AI controls: working understanding of responsible-AI principles and controls for AI-ready data.

• BI and analytics: experience building governance data-quality control or operational dashboards using Power BI Tableau Excel or similar tools.

• Financial data: familiarity with fixed income structured finance credit ratings and capital-markets data; experience with Bloomberg and/or Refinitiv Eikon is a plus.

Core Competencies

• Excellent communication skills with the ability to explain data controls concepts to technical and business audiences.

• Strong stakeholder management and influencing skills.

• Subject-matter expertise in data controls data quality metadata lineage and regulatory data practices.

• Sound judgment attention to detail and a structured results-oriented approach to complex problems.

• Self-starter with the ability to manage multiple priorities navigate ambiguity and deliver on time.

Total Cash compensation range $126459 - $193906