Senior Data Governance Analyst

Job Description Role Overview: By delivering the combined power of distinctive investment management capabilities, Invesco provides a wide range of investment strategies and vehicles to clients worldwide. As a Data Quality Oversight professional, you will partner with data owners, stewards, and analysts to identify, document, and resolve data quality issues. You will recommend and implement improvements to data quality processes, controls, and monitoring mechanisms. Additionally, you will support the development of data quality metrics and dashboards to track data health and remediation progress. Key Responsibilities: - Partner with data owners, stewards, and analysts to identify, document, and resolve data quality issues. - Recommend and implement improvements to data quality processes, controls, and monitoring mechanisms. - Support the development of data quality metrics and dashboards to track data health and remediation progress. - Collaborate with project and BAU teams to validate and onboard data dictionaries into the metadata repository. - Act as a metadata steward, ensuring alignment with enterprise data governance policies and standards. Qualifications Required: - Bachelors or Masters degree in Information Systems, Data Management, Business Administration, or a related field. - Minimum 6 years of experience in data governance, metadata management, or business/data analysis. - Strong expertise in metadata tools (preferably Informatica), data dictionaries, and taxonomy frameworks. - Proven experience in data quality management, including issue identification, root cause analysis, and remediation. - Experience in the financial services or asset management industry. - Familiarity with data governance frameworks such as DAMA-DMBOK. - Proficiency in data visualization and reporting tools (e.g., Power BI, Tableau). - Experience working in Agile or hybrid project environments. Additional Company Details: At Invesco, the workplace model supports the culture and client needs while providing employee flexibility. Compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. The organization values diversity and inclusion, with senior leaders having diversity and inclusion goals. Invesco supports personal needs, diverse backgrounds, provides internal networks, and offers opportunities to get involved in the community and the world. Invesco's benefit policy includes: - Competitive Compensation - Flexible, Hybrid Work - 30 days Annual Leave + Public Holidays - Life Insurance - Retirement Planning - Medical Insurance for Employee and Family - Annual Health Check-up - 26 weeks Maternity Leave - Near site Childcare Facility - Employee Assistance Program - Employee Stock Purchase Plan - ESG Commitments and Goals - Career Development Programs Invesco offers development opportunities to help employees thrive as lifelong learners in a constantly evolving business environment. The AI-enabled learning platform delivers curated content based on roles and interests, ensuring continuous growth. Managers and leaders also have opportunities to advance their skills and competencies for performance excellence. Role Overview: By delivering the combined power of distinctive investment management capabilities, Invesco provides a wide range of investment strategies and vehicles to clients worldwide. As a Data Quality Oversight professional, you will partner with data owners, stewards, and analysts to identify, document, and resolve data quality issues. You will recommend and implement improvements to data quality processes, controls, and monitoring mechanisms. Additionally, you will support the development of data quality metrics and dashboards to track data health and remediation progress. Key Responsibilities: - Partner with data owners, stewards, and analysts to identify, document, and resolve data quality issues. - Recommend and implement improvements to data quality processes, controls, and monitoring mechanisms. - Support the development of data quality metrics and dashboards to track data health and remediation progress. - Collaborate with project and BAU teams to validate and onboard data dictionaries into the metadata repository. - Act as a metadata steward, ensuring alignment with enterprise data governance policies and standards. Qualifications Required: - Bachelors or Masters degree in Information Systems, Data Management, Business Administration, or a related field. - Minimum 6 years of experience in data governance, metadata management, or business/data analysis. - Strong expertise in metadata tools (preferably Informatica), data dictionaries, and taxonomy frameworks. - Proven experience in data quality management, including issue identification, root cause analysis, and remediation. - Experience in the financial services or asset management industry. - Fa