Head of Enterprise Data Stewardship & Remediation

Mizuho’s data operating model is organized around enterprise-wide capabilities and federated data domains that create clear accountability for data from origination through consumption. Domains are structured around the types of data originated and consumed across the enterprise, including transactional, derived, and master and reference data, with the objective of minimizing overlap, avoiding unclaimed data elements, and supporting business, operational, regulatory, and decision-making needs.

Within this model, the Head of Enterprise Data Stewardship & Remediation is accountable for the enterprise stewardship framework, Master and Reference Data operating model, design standards, governance cadence, issue transparency, escalation, and remediation oversight. Business, functional, and technology owners remain accountable for the accuracy, completeness, control execution, and timely remediation of data within their respective domains and platforms. The role drives consistency, decision-making, and executive visibility across accountable owners without displacing domain-level ownership.

Head of Enterprise Data Stewardship & Remediation

As the Head of Enterprise Data Stewardship & Remediation, reporting directly to the Chief Data Officer (CDO), you will lead Data Domain Stewards across the enterprise, set the strategic vision for stewardship, and govern the operating models, standards, and oversight mechanisms for Master and Reference Data and data Issue Management and Remediation. You will drive adoption of consistent practices and strengthen accountability, transparency, ownership, and measurable risk reduction across all domains.

In parallel, you will oversee the management of transactional data across front-office and operations, ensuring data quality, controls, and lifecycle governance are embedded end-to-end, from trade origination through processing, settlement, and reporting. This includes data related to core Banking and Markets activities such as lending, deposits, trade finance, equities, fixed income, and derivatives.

You will also lead the design, ownership model, and governance framework for Master and Reference Data in partnership with business and functional data owners, ensuring authoritative sources, clear accountability, standardized definitions, controlled change management, and fit-for-purpose distribution to consuming platforms and business processes.

In addition, you will establish and oversee the enterprise approach to data issue management and remediation, driving accountable resolution through domain, business, technology, risk, and control owners. This includes issue intake, triage, root cause analysis, prioritization, ownership assignment, remediation planning, closure evidence, and executive-level reporting on risk reduction and control improvement.

Serving as the bridge between business domains, operations, and enterprise data governance, you will drive cross-functional alignment to ensure high-quality, well-governed, and fit-for-purpose data that supports business operations, regulatory compliance, and decision-making.

Key Responsibilities

Data Strategy & Governance

• Translate enterprise and functional priorities into actionable data management plans and execution roadmaps for the Data Domains.
• Lead new data initiatives by defining business cases, building stakeholder alignment, and prioritizing work that delivers measurable outcomes across the domain.
• Champion data culture, accountability, and adoption of governance standards across the organization.
• Lead organizational change related to data ownership, stewardship, and data quality practices.
• Lead and coordinate the network of Data Domain Stewards across Banking, Markets, Reference Data, Finance, Risk, Technology, and other domains, driving consistent stewardship practices and clear accountability.
• Define and drive adoption of standardized stewardship practices, templates, and reporting frameworks to establish enterprise-wide visibility into stewardship maturity, risks, and progress.
• Establish and maintain processes aligned with Enterprise Data Policy and Standards.
• Act as the senior escalation point for cross-domain data issues and conflicts.

• Define and maintain decision rights across enterprise data governance, clarifying where stewardship accountability, business ownership, technology ownership, risk/control ownership, issue escalation, and final decision authority reside.

Transactional Data Oversight

• Oversee governance and management of transactional data across front-office, operations, and downstream systems.

• Ensure clear ownership, accountability, and governance across transactional data domains, including alignment with enterprise policies, standards, controls, and lifecycle requirements.

• Align transactional data across front-office and operations so that data is consistent from origination through settlement and reporting.

Master/Reference Data Ownership & Design

• Own the enterprise operating model, governance framework, and design standards for Master and Reference Data in partnership with business and functional data owners.

• Define domain scope, authoritative sources, stewardship roles, governance forums, control points, and consumption patterns for enterprise Master and Reference Data.

• Define the target-state design for Master and Reference Data capabilities, including hierarchy design, golden-source strategy, survivorship rules, change management, distribution, entitlement, and adoption across consuming systems.

Issue Management & Remediation

• Operate enterprise data issue management & remediation processes, including intake, classification, ownership assignment, root cause analysis, remediation planning, closure validation, and executive reporting.

• Drive accountable remediation of material data quality, control, lineage, and ownership gaps through domain, business, operations, technology, risk, finance, compliance, and audit stakeholders. Ensure remediation actions are assigned to accountable owners and tracked through closure.

• Provide transparency into remediation progress, aged issues, risk reduction, control improvements, and closure evidence for governance and executive forums.

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Demonstrated Skills​

• Exceptional communication, executive presence, and stakeholder engagement skills, with the ability to influence senior leaders, build alignment, and drive decisions across functions.

• Proven ability to lead large-scale cross-functional initiatives, navigate complexity, and drive sustained change across a matrixed organization while managing competing priorities.

• Demonstrated senior leadership capability, sound judgment, and the ability to influence enterprise decisions, sponsor change, and deliver results in a highly regulated environment.

• Deep understanding of transactional data systems and flows.

• Deep experience in data governance, data management, and enterprise data strategy.

• Deep expertise in Master and Reference Data design, operating models, stewardship, authoritative sourcing, control frameworks, and enterprise adoption.

• Strong experience designing and operating data issue management and remediation processes, including root cause analysis, ownership assignment, remediation tracking, closure validation, and risk/control reporting.

• Ability to translate data governance into practical, business-driven execution and operating model improvements.

• Experience with data quality frameworks, controls, attestation, and regulatory requirements in a financial services environment.

Expected Outcomes

• Clearer enterprise accountability for critical data across domains, platforms, and consuming processes.

• Improved transparency into data quality risks, remediation progress, aged issues, and control effectiveness.

• Increased adoption of authoritative Master and Reference Data sources across consuming systems.

• Reduced duplication, unresolved ownership gaps, and inconsistent remediation practices across domains.

• Stronger evidence of governance execution for executive, regulatory, risk, and audit stakeholders.

Qualifications

• 10+ years of experience in management and leadership roles, including leading teams and enterprise initiatives in complex organizations.

• 7+ years of progressive experience in data governance, data quality, data stewardship, or broader data management leadership.

The expected base salary ranges from $275-$300k. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.

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Other requirements

Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process.

Company Overview

Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~$2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill​, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research. Visit www.mizuhoamericas.com.​​

Mizuho Americas offers a competitive total rewards package.

We are an EEO/AA Employer - M/F/Disability/Veteran.

We participate in the E-Verify program.

We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law.

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