Director of Data Quality and Analytics

- Establish and execute a comprehensive strategy for Data Quality that aligns with business goals and governance frameworks. - Create standards, policies, and procedures across various data domains. - Identify, assess, and address data quality issues across all attributes, working closely with business and IT teams. - Conduct data profiling and evaluations to identify problems like duplicates, missing data, or inconsistencies. - Oversee the development of data quality scorecards for monitoring Critical Data Elements (CDEs) across systems. - Implement and manage tools that define clean data, publish quality rules, track current statuses, and document root causes. - Collaborate on defining and implementing processes and APIs for smooth integration of data quality rules into applications. - Design a stewardship framework with accountable Data Owners and Stewards, managing metadata, cataloging, and data lineage for clarity and traceability. - Build and lead a high-performing Data Quality team, enhancing data literacy and nurturing Data & Analytics talent. - Utilize advanced analytics and AI to deliver data-driven insights and develop data products and services for market expansion and decision support. - Ensure compliance with regulations and implement governance structures for data and algorithms used in analytics and reporting. - Partner with enterprise stakeholders in business, compliance, risk, and IT to align data requirements and resolve issues. - Manage budget planning, resources allocation, and performance tracking for data quality projects, ensuring ROI and value realization.