Senior Data Steward, Investments Data Office
Core
Hands-on individual contributor responsible for supporting data quality, stewardship execution, and operational readiness across assigned master data domains to ensure critical business information is trusted and usable.
Role type
Senior IC data steward (master data management)
Builds
Data quality metrics, reporting dashboards, data definitions, metadata, and remediation workflows
Domain
Financial services / Asset management / Investment data
Deliverable
production ML models | product features | dashboards & analysis | client delivery | infrastructure
Required skills
Master data management, data stewardship, data quality management, data governance, metadata management, data lifecycle practices, SQL, Excel, data profiling, data cleansing, data mapping, trend analysis, root cause analysis, issue triage, workflow design, data model input, integration support
Preferred skills
Python, Alteryx, VBA, Power BI, experience with Markit EDM / Opus EDM platforms, experience with Informatica MDM, experience building or maturing a data stewardship practice
Technologies
SQL, Excel, Python, Alteryx, VBA, Power BI, Markit EDM, Opus EDM, Informatica MDM
Responsibilities
Support day-to-day stewardship activities across assigned master data domains; 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; 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
Seniority
Senior, hands-on IC
