Data Steward Manager

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. The Data Stewardship Manager leads and mentors a centrally federated team of Data Stewards and Data Quality Analysts, serves as the central point of escalation for data definition, ownership, and quality issues, and partners with data governance, technology, and business teams to embed stewardship into project delivery and day‑to‑day operations.

Leadership of Data Stewards and Data Quality Analysts

• Lead, mentor, and develop a centrally federated team of Data Stewards assigned to specific business data domains.
• Supervise a team of Data Quality Analysts responsible for designing and implementing solutions to data quality and remediation issues.
• Provide training, guidance, and coaching on stewardship practices, data quality methods, and use of governance tools.
• Coordinate workload, priorities, and coverage across domains to ensure consistent support and execution.
• Foster a culture of accountability, collaboration, and continuous improvement within the stewardship and data quality functions.

Operationalization of Data Governance and Stewardship

• 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.

Standards, Consistency, and Issue Escalation

• 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.
• Chair or support governance forums where cross‑domain issues and decisions are reviewed, adjudicated, and documented.
• 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.

Data Quality Management and Remediation Oversight

• 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.

Project, Stakeholder, and Technology Alignment

• 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.
• Coordinate 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.

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)
• Ability to translate business requirements into clear data definitions, rules, and standards
• 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