Data Stewardship Manager - Lead Data Quality (Hybrid)

Invesco

Atlanta (GA)

Hybrid

USD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching up to 6%

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Job summary

Invesco is seeking a Manager, Data Stewardship to lead a team of Data Stewards and partner with Data Product Owners, Governance, and technology teams. You will define data requirements, monitor quality, and drive improvements to ensure trusted, usable data across the enterprise.

The role requires 10+ years in data disciplines and 2+ years of people leadership. Strong SQL/Excel skills with experience in data governance and MDM will be essential for success in this hybrid, full-time position in

Qualifications

10+ years of relevant experience in data management, data stewardship, master data management, data governance, or related data disciplines.
2+ years of people leadership experience, including coaching, mentoring, goal setting, and performance management.
Strong understanding of master data management, data stewardship, data quality management, data governance, metadata, and data lifecycle practices.
Bachelor’s degree in Business Administration, Computer Science, Data Science, Information Science, Economics, Accounting, Engineering, Information Technology, or a related field.

Responsibilities

Lead day-to-day stewardship activities across assigned master data domains, ensuring data is accurate, trusted, available, and fit for purpose.
Manage, coach, and mentor Data Stewards; set goals, support development, and drive accountability for individual and team performance.
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 and oversee data profiling, data cleansing, data mapping, trend analysis, root cause analysis, issue triage, and remediation activities.
Address complex data issues escalated by team members or stakeholders, 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.
Drive operational excellence by recommending people, process, and technology improvements that increase efficiency, accuracy, automation, and control.