Data Stewardship Director

Mizuho’s data operating model comprises of enterprise-wide groups and federated data domains to drive accountability and management of data. The federated operating model ensures minimal overlaps and reduced handoffs of data attributes across the data lifecycle.

Federated data domains (data domains) are defined according to the various types of data originated and consumed by the enterprise (transactional, derived and master/reference), and in such manner that there are no unclaimed or overlapping data elements between two domains. Their definition and structure aim to support Mizuho’s business activities and operations.

Data is clustered into federated domains with overall accountability and ownership for data quality, from origination to consumption. The People Data Domain will manage data related to Mizuho’s human resources regardless of their employment status(employees, contractors, consultants,…) .

Data Domains core responsibilities include definition and ownership of business use cases, serving as owners for and managing data within the domain (selected with view to exhaustively cover data within the enterprise with no overlaps), ensuring data satisfies the needs of data consumers, managing data quality assessments and remediation with source systems, expressing the data model and data definitions for the data elements within the domain, and participating in the enterprise data governance bodies.

Role Summary

In this role you will report to the Data Stewardship Tower lead and play a critical role in delivering the Tower Book of Work, managing urgent priorities as they arise. This position focuses on driving alignment and governance across domains, and partnering with Domain Data Stewards to enable execution. You will help harmonize methodologies, best bractices, surface synergies and gaps. A key part of this role is to expand the Enterprise Data Management Office (EDMO)’s capabilities by supporting domain-specific priorities when needed and by deploying enterprise solutions - such as Data Governance standards, Enterprise Hierarchies, Data Product framework, AI and Analytics - into domain strategies.

You will work closely with Domain Data Stewards and EDMO leaders to harmonize governance practices, surface synergies, and ensure transparency and accountability.

Key Responsibilities

Strategic Leadership

• Act as Data Stewardship Tower’s delegate to support the execution of the Data Stewardship vision by defining and operationalizing stewardship frameworks.
• Oversee the execution of Domain-level data initiatives vs Enterprise-level roadmap.

Operational Oversight

• Establish standardized templates and harmonized reporting approaches for consistent domain-level reporting.
• Identify and address gaps in domain coverage, including unfilled roles or areas lacking stewardship.
• Drive continuous improvement by identifying and communicating best practices based on internal assessments and external feedback.

Team Enablement

• Partner with Domain Data Stewards to enable execution of their roadmaps and prioritize the Book of Work.
• Serve as an escalation point and provide guidance to resolve issues and urgent priorities ("fire drills").
• Provide visibility for resource allocation, prioritization and decision-making.

Stakeholder Engagement

• Deliver visibility to senior leadership through standardized reporting and insights that inform decision-making and resource allocation.

Demonstrated Skills

• Fluency in data governance, data quality, and metadata management principles.
• Strong analytical and problem-solving skills with the ability to translate business needs into data solutions.
• Excellent communication and stakeholder engagement skills.
• Proven ability to lead cross-functional initiatives and manage competing priorities.

Qualifications

Required

• 5+ years experience with Data Quality and Data Management
• 5+ years experience in Management role (VP/SVP/Dir/Exec Dir)
• Proven ability to lead cross-functional teams and influence senior stakeholders.
• Strong understanding of data management frameworks, metadata, and AI/analytics integration.
• Excellent communication and strategic planning skills.

Preferred

• Experience with data design, data audit, data…