Data Quality Manager

Rockland Trust Bank is driving innovation in how financial services are delivered to our customers and communities. As we expand, we’re investing heavily in advanced analytics, data science, and AI to empower smarter decisions, deliver personalized customer experiences, and strengthen our digital transformation.

The Data Quality Program Manager plays a central role in building and maturing the Bank’s enterprise Data Quality Program. This position is responsible for establishing scalable data quality processes, serving as the administrator for the Bank’s data quality tooling, and partnering closely with data owners, stewards, and technology teams to ensure data is accurate, complete, consistent, and usable. The role reports directly to the Director of Data Governance and supports the Bank’s broader data strategy, regulatory expectations, and analytics enablement efforts.

Key Responsibilities

• Data Quality Program Development & Governance
• Design, implement, and continuously improve the Bank’s Data Quality Program
• Develop and maintain Data Quality Policies, Standards, and Procedures.
• Partner with the Director of Data Governance to integrate data quality practices into the broader Data Governance Operating Model.
• Coordinate with data stewards and stakeholders to ensure scalable SLAs are implemented, KPI/KRI metrics are reported, and issues are remediated or escalated as necessary
• Data Quality Tooling & Administration
• Serve as administrator for the Bank’s data quality/observability tool
• Configure data quality rules, monitors, thresholds, and alerts across critical datasets.
• Partner with Technology teams to onboard new systems and data pipelines into the data quality platform.
• Maintain metadata and control logic within the tool, ensuring alignment with the data catalog.
• Data Quality Monitoring & Reporting
• Develop dashboards, scorecards, and KPI reporting to track data quality trends and remediation progress.
• Conduct root-cause analysis in partnership with data stewards, business SMEs, and IT.
• Maintain issue logs and coordinate follow-ups with stakeholders to ensure timely remediation.
• Prepare materials for executive committees, audits, and regulatory examinations.
• Stakeholder Engagement & Enablement
• Work with business units to define critical data elements (CDEs), data quality rules, and quality expectations.
• Collaborate with data stewards to interpret results, prioritize issues, and drive accountability.
• Provide training and change management support to business and technical teams on data quality standards and tooling.
• Act as a subject matter expert for data quality best practices.

Qualifications

• Bachelor’s degree in Information Systems, Data Management, Business, Computer Science, or related field.
• 3 years of experience in data governance, data quality, data management, or analytics—preferably within financial services.
• Hands-on experience with data quality tools, methodologies, data observability platforms, or data catalogs.
• Strong understanding of data quality dimensions
• Proven ability to manage cross-functional initiatives and work with business and technology stakeholders.
• Familiarity with Snowflake, dbt, SQL, Python, Collibra, Power BI a plus
• Excellent communication, documentation, and stakeholder-management skills.