Job
Description
Were looking for a Project Delivery expert with experience and strong technology and data understanding of the enterprise data ecosystem and its governance model. The candidate should be proficient in defining strategies to ensure adherence to related policies and standards. This is a fantastic opportunity to be part of a leading firm as well as a growing Data and Analytics team. Key Responsibilities 1. Deploy DQ Queries and Analyze Results Use statistical analysis, metrics, and insights. Analyze DQ exceptions with data stewards to understand the scope and impact of DQ exceptions. Ensure prioritization of DQ exceptions by impact and aid in the facilitation of remediating issues. 2. Business Analysis Correlate statistics about issues, aggregate results, and distill important details on root causes or recommendations for permanent fixes. Knowledge of SDLC and issue remediation process. 3. SQL, Python, and Advanced Query
Skills:
Experience in data quality roles preferred; financial services or relevant industry experience preferred. 4. Data Governance Define and activate an enterprise approach of controls, processes, metrics, and roles to make our information assets available to those who need them throughout the information lifecycle. These services include policies and processes, information quality, tools strategy, monitoring and enforcement, metrics, and change management. Creating and managing datasets in Collibra. Execute data quality checks in Collibra to ensure the accuracy, consistency, completeness, and reliability of data. Work closely with data analysts and other stakeholders to define data quality rules, set up data quality checks, and monitor ongoing data quality across various business functions. Configure and implement Collibra Data Quality framework and rules within the platform. Define data quality rules and set up automated data quality checks for both structured and unstructured data. Collaborate with data governance teams to align data quality policies with organizational goals. Monitor the performance of data quality rules and checks in Collibra. Track data quality issues and collaborate with data stewards to resolve discrepancies or data issues in a timely manner. Generate and interpret data quality reports from the Collibra platform, including data quality scorecards, issue logs, and dashboards. Work with business units to identify root causes of data quality problems and help implement corrective actions. Work closely with business and IT teams to understand data requirements and quality standards. Familiarity with SQL for querying data and analyzing data quality issues. Experience in data profiling, data cleansing, and data validation techniques. What You'll Do Collaborate with cross functional stakeholders to gather insights and champion their information governance needs. Develop and mature an industry leading posture on information governance across the full information lifecycle while incorporating data governance, analytics governance, AI governance, and content governance. Develop a robust operating model that outlines the structure, roles, responsibilities, and processes for effective information governance and governing bodies. Enable governance/oversight and coordination across key stakeholders to ensure accountability and ownership that our information is consumable, protected, and compliant. Define and activate an enterprise approach of controls, processes, metrics, and roles to make our information assets available to those who need them throughout the information lifecycle. These services include policies and processes, information quality, tools strategy, monitoring and enforcement, metrics, and change management. Collaborate with digital and business units to ensure the necessary tools, technologies, and resources are in place to support information governance. Align/enhance existing processes with industry standards, best practices
