Data Steward Manager

Position Requirements

• Bachelor’s degree - Information Systems, Data Analytics, Computer Science, Business, Accounting, Finance, Economics
• 8+ years of experience working with data-intensive business processes, reporting, analytics, or data management roles (e.g., business analyst, data analyst, product analyst)
• Strong understanding of data concepts (data models, metadata, lineage, quality dimensions, master/reference data)
• Excellent facilitation and communication skills, with the ability to drive consensus across diverse stakeholders
• Analytical mindset with strong problem-solving skills and very acute attention to detail
• Comfortable working in both business and technical contexts, bridging gaps between the two
• Demonstrated commitment to accuracy, consistency, control, and responsible data use
• Prior exposure to data governance, data quality, or data stewardship practices preferred

About the Role

The Data Stewardship Manager provides tactical leadership for the bank’s centrally-federated data governance and stewardship program. This role operationalizes data stewardship execution across the organization, ensuring data standards, definitions, and quality expectations are consistently applied across business data domains.

Responsibilities

• Lead, mentor, and develop a centrally federated team of Data Stewards assigned to specific business data domains.
• Serve as the central point of escalation for data definition, ownership, and quality issues.
• Partners with data governance, technology, and business teams to embed stewardship into project delivery and day-to-day operations.
• Translate data governance policies and standards into practical processes, procedures, and playbooks for day-to-day stewardship activities.
• Ensure stewardship activities (definition management, issue management, quality monitoring, lineage maintenance, etc.) are consistently executed across domains.
• Define and monitor KPIs and operational metrics that measure the effectiveness and maturity of stewardship execution.
• Support the rollout and adoption of governance and stewardship tools (data catalog, glossary, data quality, lineage, and workflow solutions).
• Identify opportunities to streamline and automate stewardship workflows and controls.
• Ensure data definitions, standards, quality rules, and metrics established within domains align to enterprise data policies and are applied consistently across systems and products.
• Act as the central authority for escalation and resolution of data definition, ownership, and data quality issues that span multiple domains or stakeholders.
• Maintain visibility into critical data elements, their ownership, and key decisions, ensuring stewardship teams keep metadata, lineage, and documentation current.
• Coordinate with the Data Governance Office and Data Owners to ratify standards and resolve material conflicts.
• Oversee identification, logging, and triage of data quality issues raised by business and technology stakeholders.
• Direct Data Quality Analysts in designing and implementing remediation plans (rules, controls, process changes, and technical fixes) to address root causes.
• Validate that remediation activities align with domain and enterprise standards and measurably improve data fitness for use.
• Ensure critical data quality rules and monitoring processes are defined, implemented, and regularly reviewed with Data Stewards and stakeholders.
• Provide regular reporting on data quality trends, remediation progress, and residual risks to governance and business leadership.
• Support project and product teams by embedding Data Stewards and governance processes into project delivery lifecycles (requirements, design, testing, and deployment).
• Partner with the Data Governance Office, Data Product Managers, DBAs, data engineers, and BI developers to ensure technical solutions conform to business data standards and stewardship requirements.
• Cover stakeholder engagement across business units and technology to build consensus around definitions, standards, and quality expectations for new and changed data assets.
• Review and advise on project charters, solution designs, and test strategies for initiatives with significant data impact, ensuring stewardship activities are adequately planned.
• Act as a key liaison between business leadership and technical teams on matters related to data stewardship, governance execution, and data quality.