Enterprise Solution Architect - Data Quality

Partnering with clients to understand their data quality challenges and needs. Conducting interviews with client stakeholders from both Business and IT to uncover current data quality issues and identify emerging trends. Defining current and future states for the Data Quality vision. Leading efforts to improve client data quality through profiling, analysis, and long-term monitoring of their data. Profiling datasets to identify data quality issues and challenges. Ensuring service delivery aligns with Collibra’s Engagement Model, Processes, Methodologies, and Artifacts. Achieving utilization targets and contributing to the growth of Collibra’s services business. Measure of success in the first three months include product onboarding and training, learning Collibra's solutions delivery methodology and processes, and beginning to engage in the delivery of Collibra solutions to clients.