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Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.
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The Data Solutions division is the commercial data business of Moody's Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world's most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody's Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing, and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.
Role/Responsibilities
As the Associate Director Data Management, you will play a critical role in managing and optimizing our Data Quality. You will be responsible for overseeing the end-to-end Data Quality process, ensuring the availability, integrity, and accuracy of data on our flagship product Orbis. Your expertise in data management, leadership skills, and strategic thinking will drive the success of our data initiatives and support our objectives.
Key Responsibilities include:
- Development and Implementation Data Quality Strategy: continuously review on optimize, the definition and execution of our comprehensive data quality strategy that aligns with company objectives, ensuring high standards of accuracy, completeness, and reliability of data.
- Establish Data Quality Standards: maintain and help improving our data quality standards and procedures that are in line with industry best practices and regulatory requirements.
- Data Quality Assessment and Monitoring: Regularly conduct data quality assessments to identify and address issues related to accuracy, integrity, and consistency. Implement ongoing monitoring practices to ensure continuous data quality improvement.
- Data Governance: collaborate with our data governance committee, advocating for data quality, setting policies for data management, and ensuring adherence to data governance principles.
- Cross-functional Collaboration: Work closely with data operations, data domain owners, analytics, and business units to ensure that data management and quality initiatives meet the needs of all stakeholders and support the company's strategic goals.
- Data Quality Improvement initiatives: Lead and manage projects aimed at improving the quality of data throughout its lifecycle, from collection and storage to analysis and reporting.
- Technology and Tools Implementation: Evaluate, select, and implement data quality tools and technologies that enhance the ability to monitor, assess, and improve data quality.
- Performance Monitoring and Reporting: Develop and maintain data quality metrics and performance indicators to monitor the effectiveness of data operations, producing regular reports and dashboards for key stakeholders.
Qualifications
Minimum Bachelor's degree in Information Systems, Computer Science, Data Management, Economics, Finance, or related major. A Master's degree is a plus.
8+ years working experience with proven experience in data quality, data management, and specifically in Master Data Management, with at proven experience in leading data quality projects.
Familiarity with current Data Management tools and platforms
Knowledge of data governance frameworks, data management best practices, and industry standards.
Understanding of data architectures, data modeling, ETL processes, and data integration technologies.
Excellent leadership skills with the ability to motivate and inspire a team to achieve goals and objectives.
Exceptional communication and interpersonal skills, capable of collaborating with diverse stakeholders and presenting complex ideas in a clear and concise manner to support organizational decision-making
Excellent problem-solving and critical-thinking skills to recognize and comprehend complex issues, processes, and requirements regarding managing large data sets
Demonstrated ability to drive process improvements and operational efficiency through the application of technology and automation.
Experience working in a fast-paced, dynamic environment, with the ability to prioritize and manage multiple projects simultaneously.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.