Data Management Principal - Finance Data Quality Specialist
About the role
The Manager of Data Governance and Management is responsible for enabling data quality, integrity, compliance, and accessibility within a business line or function. This role collaborates with the Enterprise Data Governance & Management (EDGM) team and business and technology leaders to ensure adherence to data governance and management policies.
Responsibilities
Lead the implementation and operationalization of data quality rules and tests across data pipelines
Translate complex business requirements into measurable data quality rules and maintain a prioritized backlog of data quality engineering tasks
Create and maintain data quality scorecards and dashboards to communicate data health, trends, and business impact to senior stakeholders and product owners
Identify, track, remediate, and escalate data quality events, conduct root cause analysis, and drive permanent fixes while reporting remediation status and business impact
Perform systematic data profiling, metadata analysis, and lineage mapping to identify root causes of data defects and prioritize remediation actions with application owners
Partner with Finance, Risk, Compliance, Business Unit, and IT teams to resolve inconsistencies between systems of record
Manage the day-to-day execution of data governance and management requirements within the business line / function
Support the metadata team in developing and maintaining a business data glossary with clear, controlled definitions
Coordinate with and support business line data owners, business data leads, and business risk partners with data governance-related enablement activities
Conduct business line training and awareness campaigns for data governance leveraging enterprise materials
Track the status of key data governance activities and initiatives
Coordinate the preparation of reporting inputs, dashboards, and status summaries to be used by senior leadership
Monitor and address results of enterprise dashboards, metrics, and summaries that reflect business line / function performance and alignment with expectations and key risk indicators
Promote a culture of data accountability, stewardship, and data-driven decision making across your aligned business line
Support the business line in identification, prioritization, tracking, and remediation of data defect and data issue management processes
Understand the regulatory requirements and frameworks that are applicable to your business line, especially as these requirements relate to identifying the critical data and data risks within your business line
Work with business data leads, business risk partners, and second-line stakeholders to monitor business line / function compliance with regulatory requirements, proactively manage data risks, and coordinate remediation of open business line data defects and data issues
Support the metadata/lineage specialist in documentation of asset-level and element-level data lineage, support business and technical metadata management activities for data dictionary and business glossary creation and maintenance
Identify and maintain data quality rules and controls, and identify, collate, and drive remediation of improvement opportunities
Monitor key performance indicators (KPIs) to measure effectiveness and drive continuous improvement
Work with diverse business, technology, and risk teams across the enterprise, including the enterprise data governance team, as each business line begins to take accountability for managing their data
Help interpret data governance and management policies, standards, procedures, and related documentation for your business line
Requirements
Experience: 5+ years of proven experience in data governance, data management, data analysis or related roles, preferably within financial services, with at least 1-2 years in a team lead, senior analyst, or supervisory role
Expertise: Hands-on experience with data governance frameworks, policies, and standards (e.g., DCAM), data management concepts (e.g., data quality, data lineage, data catalogs) and data governance tooling (e.g., Alation, Collibra, Manta, Ab Initio)
Education: Bachelor’s or Master's degree in Information Systems, Computer Science, Data Analysis, Mathematics, or related discipline
Leadership: Demonstrated ability to guide junior staff, coordinate cross-functional work, and support large-scale data initiative
Technical Skillset: Foundational understanding of database structures and data analytics (e.g., SQL, Snowflake, ETL tools, Tableau, PowerBI)
Communication: Strong communication and stakeholder-management skills; an ability to translate data governance requirements into actionable steps for business line / function partners
Passion: Understands the tremendous impact good data governance and management can make for an organization and is enthusiastic about supporting the organization through the journey
Approach: Strategic mindset paired with pragmatic execution capabilities
Risk Management: Ability to identify, assess, and mitigate data-related risks within the organization
Collaboration: Strong collaboration skills to work effectively with diverse teams and colleagues at all levels
Presence: Ability to communicate effectively to senior leadership in both business and technology roles
Decision Making: Ability to manage complexity, prioritize team deliverables, and make effective decisions
Industry Experience: Financial Services / highly regulated industry experience preferred