Risk & Compliance Data Steward

Join Mizuho as a Risk & Compliance Data Steward!

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 Risk & Compliance Data Domain will manage data related to Mizuho’s Risk Management and Compliance processes, including risk aggregation, regulatory reporting, and controls.

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.

Risk & Compliance Data Steward

As the Risk & Compliance Data Steward, you will serve as the strategic lead and subject matter expert for the Risk & Compliance Data Domain, which encompasses all functions under the Risk and the Compliance Divisions. You will act as the steward of the Bank’s core system for Risk and Compliance ensuring that data is accurate, accessible, and aligned with enterprise standards. A key part of this role is to understand how Risk and Compliance data is created and used across the organization so that you drive the definition of the Vision and strategy for key platforms supporting the domain, ensuring alignment with business objectives and stakeholder expectations.  You will spend a significant amount of time directly engaging with business contacts to understand data requirements, usage, and challenges to be addressed by the data strategy as well as with the Technology partner to create, prioritize, and refine requirements to ensure the development team is always working on the most valuable features. This role will manage Data Steward(s) and Data Quality Analyst(s) supporting the Risk & Compliance Data Domain and sub domains.

Responsibilities

Data Strategy & Governance​

• Translate enterprise workforce strategies into actionable data management plans for the Risk & Compliance Data Domain.
• Lead new data initiatives by defining business cases, gathering requirements, and prioritizing projects across the domain.
• Establish and maintain processes aligned with Enterprise Data Policy and Standards.
• Oversee access and provisioning of Risk & Compliance data, including defining access controls, supporting data users, and ensuring compliance with Data Service Agreements and regulatory standards.
• Ensure that all Risk & Compliance data is governed in accordance with enterprise policies and controls.
• Act as change agent within the Domain, influence changes towards a data driven culture.

Data Architecture​

• Manage the definition of golden sources and systems of record for data in scope, including data critical to risk aggregation, regulatory reporting, and control processes.

Data dictionary​

• Support stakeholders in defining, validating, and maintaining business definitions for data elements.
• Accountable for data lineage and technical metadata for data elements​ within domain.
• Identify need for changes in metadata within domain, including impacts to regulatory, compliance or risk reporting data elements.

Data Quality​

• Support stakeholders in developing and managing data quality controls for data within domain to satisfy consumer’s requirements.
• Oversee remediation of Data Quality issues through prioritizing issues to remediate; review and challenge remediation plans, with focus on issues impacting regulatory accuracy, compliance oversight or risk decisions.

Reporting Structure / Leadership Responsibilities

• Lead and coordinate a team of data professionals supporting the Risk and Compliance domains, including direct management responsibilities (e.g., Data Quality Analyst) and overs