Lead development, processes, methodology and operations of the data quality program under the Data Governance Office
Lead the development and execution of enterprise-wide data quality strategies, standards, and best practices
Design and implement data quality rules, validation checks, profiling routines, and monitoring dashboards within data quality tools
Perform root cause analysis on data issues and drive remediation plans with cross-functional teams
Collaborate with Data Engineering and BI teams to embed data quality controls into ETL/ELT pipelines
Establish and maintain data quality KPIs, scorecards, and reporting for leadership
Conduct data profiling and impact analysis to support new system implementations and data migrations
Ensure compliance with internal governance policies and external regulatory requirements
Define data quality thresholds and SLAs in alignment with key business area goals and requirements
Document data quality processes, data lineage, and metadata standards
Provide subject matter expertise in data governance initiatives and master data management (MDM)
Support audit activities related to data integrity and regulatory compliance
Requirements
5–8+ years of experience in data analysis, data quality, data governance, or related roles
2+ years of leadership and proficiency in the design and development of data focused solutions and tooling (including SQL and NoSQL)
Proven experience implementing enterprise data quality frameworks within data quality tools (e.g., Ataccama, Informatica, Talend, Collibra, Great Expectations)
Experience working in cross-functional, data-driven environments
Prior experience in regulated industries (e.g., finance, healthcare, insurance) is preferred
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or related field required
Master’s degree in a related field preferred
Relevant certifications such as Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP), or equivalent are a plus.