Overview
Data is a critical asset. As a data champion, the Compliance Data Governance Operations VP, is focused on measuring and improving data quality for Compliance processes. This individual reviews data control and data quality results, identifying and researching potential issues, meeting with stakeholders to identify root cause and achieve resolution. This individual guides data usage to ensure data issues are recorded and reported and resolved, compliance teams are informed and educated on issues and mentors junior team members. They partner with subject matter experts and technology teams to analyze the flow of data, the criteria that make the data fit for purpose, and the data ownership. This individual engages data consumers and data producers addressing the flow of data that drives Compliance processing.
This is a mid-level role in the Compliance Department Americas Division (CPAD) Data Governance team. They coordinate efforts to measure, report and improve data quality. This individual addresses data quality management reviewing data control results, logging data issues, and implementing additional processes. The role supports all areas of Compliance across the Americas and interfaces heavily with Compliance SMEs, ICDAD, Technology oversight (CoE) and key data owners throughout the Americas Division (AD).
The anticipated salary range for this role is between $129,000 and $196,000. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.
Responsibilities
- Review data control results to assure that all data issues are logged and addressed.
- Work closely with subject matter experts, data providers, data consumers to expeditiously resolve potential issues.
- Facilitate discussions with data providers, data consumers and technology teams to identify root cause, document remediation steps and monitor resolution.
- Understand and apply SMBC data quality dimensions to processes and controls to ensure they meet guidelines.
- Log and report data issues as required.
- Construct, test, and review data controls to support new processes and resolve newly identified data control gaps.
- Review reporting prior to publication.
- Create materials to support meeting and audit requests.
- Assess control effectiveness, determine gaps, and make recommendations. Design and document processes to enhance data quality controls.
- Support adoption and implementation of data governance policies.
- Escalate data issues as necessary; ensure issues are addressed and closed.
Qualifications
- Require: 7-10 years of comparable or relevant experience. Prefer: 5+ years professional experience in the Data Governance space
- Require: High School education or Equivalent. Prefer: BA/BS (Or equivalent experience)
- Knowledge of Compliance laws, rules, regulations, risks, and typologies.
- Expertise with data governance methodology and experience how to measure data quality.
- Strong interpersonal skills for building strong relationships with stakeholders and engaging teams; Excellent oral communication and writing skills in interacting with non-executives, technology management, data owners and across business lines and control functions.
- Experience reviewing and implementing data controls. Experience measuring and assessing data quality to identify and remediate data control gaps.
- Strong presentation skills with the ability to ask insightful questions, gain consensus, articulate options and solutions.
- Experience with SQL or reporting tools sets. Excellent MS Excel and PowerPoint skills.
- Strong skills writing requirements, test plans and procedures, documenting completion and exceptions.
- Able to work across multiple sources, synthesize results and present detailed validations.
- Prior usage of data governance tools to manage data elements, definitions, and data lineage.