Collibra Data Quality Analyst

Salary range: $ – $. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, competitive benefits are available.

Location:

Charlotte, NC. The position requires in‑person presence on a hybrid schedule.

• Support the CDQ Platform Lead, AD CDAO Office and Global Coordination Team in defining and adopting the operating model for DQ Measurement through CDQ.
• Partner with AD Tech team to implement and maintain Collibra Data Quality (CDQ) Engine.
• Ensure adherence to data quality measurement frameworks and standards when defining DQ Rules.
• Collaborate with stakeholders to define and implement data quality controls and ensure alignment with the enterprise governance framework.
• Support the mapping of DQ Rules to their DQ Controls and ensure relationships are established in Collibra.
• Hold requirement gathering sessions and ensure functional requirements and design are documented to all integration components or any other needs:
  Collibra DIP, SNOW, PowerBI and TWS Scheduler.
• Support business stakeholders to set up Data source connections, configurations, DQ rules creation, etc.
• Facilitate training sessions and promote best practices in data observability and CDQ usage.
• Assist in testing upgrades and validating data quality rule migrations.
• Evolve and refresh DQ Measurement and Monitoring Standard, BRD/SOP Procedures, Framework and address audits as needed.
• Timely organization, maintenance, and prioritization of the Collibra DQ implementation roadmap in collaboration with AD Tech.
• Participate in the development of a global operating model for data quality rule deployment.
• Demonstrate a commitment to learning and growing into a strategic support role for the CDQ Platform Manager.
• Support the preparation of BAU and ad‑hoc senior management decks and presentations.

• Bachelor’s degree required.
• 6–10 years of specialized experience in Financial Services.
• Prior experience with data quality measurement and monitoring, including definition of business requirements, technical data quality rules, metrics and exceptions management (preferably Collibra Data Quality).
• Understanding of Data Governance best practices.
• Prior experience with Data Profiling, DQ Rule Creation, Data Management, and ability to identify patterns and detect statistical anomalies in datasets.
• Experience with Data Quality tools such as IBM Information Analyzer, Alteryx, Great Expectations, Ataccama, or similar platforms.
• Strong relationship management and influencing skills; ability to build enduring and productive alliances across matrix organizations.
• Strong team player with excellent listening, interpersonal, facilitation, written, oral and communication skills.
• Ability to work independently and successfully manage multiple priorities and stakeholders under pressure.
• Proven skills in MS Office suite, MS Excel, PowerBI, MS Project, and PowerPoint.
• Must be able to write complex SQL queries (subqueries, CTEs, joins, etc.) and perform analysis on data.
• Familiar with JIRA Project Tracking, Confluence Document Management, SDLC phases and process.
• Ability to work with little or no supervision and proven ability to meet established deadlines.

• Advanced analytical and problem‑solving capabilities.
• Proactive ownership mindset.
• Strategic judgment and autonomy.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at

EOE, including Disability/veterans.