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.

Incentive Target Percentage

Morningstars hybrid work environment gives you the opportunity to collaborate in-person each week as weve found that were at our best when were purposely together on a regular most of our locations our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are youll have tools and resources to engage meaningfully with your global colleagues.