Principal Data Steward, Investments Data Office

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Your Role The Principal, Data Stewardship is a hands-on individual contributor responsible for supporting data quality, stewardship execution, and operational readiness across assigned master data domains. This role combines data management expertise, practical analytical skills, master data management knowledge, and strong stakeholder partnership to help ensure critical business information is trusted, controlled, and usable across the enterprise.   The Principal will partner closely with Data Product Owners, Data Governance, technology teams, data architects, Data Stewards, and business stakeholders to define data requirements, monitor quality, resolve issues, strengthen controls, and improve stewardship processes. The role requires the ability to work through ambiguity, translate business needs into actionable data and process requirements, and deliver measurable improvements in data quality and operational performance.   You will be responsible for: Support day-to-day stewardship activities across assigned master data domains, ensuring data is accurate, trusted, available, and fit for purpose. Partner with Data Product Owners, Data Governance, business stakeholders, data architects, and technology teams to define priorities, requirements, data quality rules, SLAs, and remediation workflows. Define, standardize, measure, and monitor data quality metrics; develop reporting and dashboards that provide visibility into data quality health and issue resolution. Identify and maintain Critical Data Elements, data definitions, metadata, data dictionaries, and field-level guidance for assigned domains. Perform data profiling, data cleansing, data mapping, trend analysis, root cause analysis, issue triage, and remediation activities. Research and resolve complex data issues by applying knowledge of data, systems, business processes, and controls. Support master data management implementation and improvement activities, including workflow design, data quality rule definition, data model input, integration support, and system issue resolution. Use SQL, Excel, and other analytical tools to build queries, analyze data, identify trends, and provide actionable insights to stakeholders. Recommend process and technology improvements that increase efficiency, accuracy, automation, and control.   The experience you bring: 5–7 years of relevant experience in data management, data stewardship, master data management, data governance, business analysis, data quality, or related data disciplines. Strong understanding of master data management, data stewardship, data quality management, data governance, metadata, and data lifecycle practices. Experience with data management systems, MDM platforms, data quality tools, workflow tools, metadata repositories, or enterprise data platforms. Strong preference for experience with Markit EDM / Opus EDM platforms. Strong SQL and Excel skills; experience with Python, Alteryx, VBA, Power BI, or similar tools is a plus. Ability to understand data models, data integrations, workflows, and data quality rules, and to partner effectively with technology teams. Strong analytical, problem-solving, written, and verbal communication skills, with the ability to explain technical concepts to business stakeholders. Ability to work independently, manage multiple priorities, make sound decisions within defined policies, and operate effectively through ambiguity. Demonstrated ability to build relationships and collaborate across business, technology,