Vice President, Data Management

Overview

Vice President, Data Management & Governance Specialist – join to apply for the role at Mizuho.

Responsibilities

• Implementation & Rollout: Support development, drive effective implementation and enforcement of Data Governance framework, policies.
• Process Management: Manage the operational processes for Data Quality issue management lifecycle.
• Forum Facilitation: Facilitate and organize Data Governance forums and cross-functional working groups to resolve issues, review data quality metrics, and drive adoption.
• Training & Support: Develop training materials and provide guidance to Data Stewards, Data Custodians across the region.
• Model Custodianship: Act as a primary custodian of the Enterprise Data Model, ensuring that all changes are documented, standards are adhered to, and the model remains the single source of truth for data structures.
• Standards Enforcement: Work closely with Data Architects and engineering teams to conduct reviews, ensuring the logical and physical data models are aligned.
• Metadata Curation: Oversee the process of defining critical data elements, metadata, data catalog and business glossary.

Data Governance Operationalization

• Implementation & Rollout: Support development, drive effective implementation and enforcement of Data Governance framework, policies.
• Process Management: Manage the operational processes for Data Quality issue management lifecycle.
• Forum Facilitation: Facilitate and organize Data Governance forums and cross-functional working groups to resolve issues, review data quality metrics, and drive adoption.
• Training & Support: Develop training materials and provide guidance to Data Stewards, Data Custodians across the region.

Data Model & Architecture Stewardship

• Model Custodianship: Act as a primary custodian of the Enterprise Data Model, ensuring that all changes are documented, standards are adhered to, and the model remains the single source of truth for data structures.
• Standards Enforcement: Work closely with Data Architects and engineering teams to conduct reviews, ensuring the logical and physical data models are aligned.
• Metadata Curation: Oversee the process of defining critical data elements, metadata, data catalog and business glossary.

Data Analysis & Mapping Process Management

• Process Oversight: Manage the end-to-end process for creating, reviewing, and approving Source-to-Target Mapping (STM) documents. Ensure the process is efficient and timelines are met.
• Quality Gatekeeper: Act as a critical review point for all data mappings, performing quality checks for completeness, clarity, and adherence to standards before they are passed to the engineering teams.
• Liaison & Coordination: Act as a key liaison between the Data Analysts, business SMEs to automate reporting requirements, data analytics eliminating data copies.

Requirements Required

• Bachelor's degree in a relevant field (e.g., Information Management, Business, Finance, Technology).
• 10+ years of experience in the data management field within the Banking and Financial Services industry.
• Significant hands-on experience in implementing and managing processes within at least two of the following areas: Data Governance, Data Modelling, or Data Analysis & Mapping.
• Strong understanding of banking data domains (e.g., Wholesale Banking, Treasury, Risk Management) and their associated data challenges.

Desired/Preferred

• Direct experience participating in a large-scale data migration or business transformation project.
• Experience working with data governance and cataloging tools (e.g., Collibra, Alation, Azure Purview).
• Good understanding of modern data architectures (Data Lakehouse, Medallion Architecture) and platforms (Databricks, Azure).
• Certification in Data Management (e.g., DAMA).

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