People Data Manager

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. 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.

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.

People Data Domain Steward

As the People Data Manager, you will serve as the strategic lead and subject matter expert for the People Data Domain, which encompasses all core data related to all staff—permanent or not. You will act as the steward of the Bank's core system for People data (workday Combined People Data Product Owner ), ensuring that data are accurate, accessible, and aligned with enterprise standards. A key part of this role is to understand how People data is used across the organization so that you drive the definition of the Vision and strategy for Workday, 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

Key Responsibilities:

Data Strategy & Governance

• Translate enterprise workforce strategies into actionable data management plans for the People 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 for managing employee and contractor data.
• Oversee access and provisioning of People data, including defining access controls, supporting data users, and ensuring compliance with Data Service Agreements and regulatory standards.
• Ensure that all People data is governed in accordance with enterprise policies and controls.

Combined People Data Product Owner

• Define and prioritize product features: Ensure that the product backlog is aligned with business goals and customer needs.
• Collaborate with stakeholders: Work closely with data scientists, engineers, and business leaders to gather requirements and feedback.
• Manage product lifecycle: Oversee the development, deployment, and maintenance of data products.
• Ensure data quality and governance: Implement standards and practices to maintain high data quality and compliance.
• Analyze and interpret data: Use data insights to drive product decisions and improvements.
• Communicate effectively: Present product updates and results to stakeholders and leadership.

Data Architecture

• Manage the definition of golden sources and systems of record for data in scope.

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.

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.

Demonstrated Skills:

• Deep understanding of HR systems (e.g., Workday), people (permanent and non-permanent employees) data, and organizational structures.
• 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.
• Experience with regulatory and compliance requirements related to People data (e.g., GDPR, EEOC).

Qualifications:

• 7+ years' experience in Management role (VP/SVP/Dir/Exec Dir)
• 3+ years' experience with Data Quality and Data Management
• Experience with data design, data audit, data governance and IT a plus

The expected base salary ranges from $200k-$250k. 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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