Data Management Lead (#474)

This role is responsible for implementing and executing technical data management policies and practices across all environments, entities, and data layers. A critical component of the role is data modeling, ensuring that data structures are well-organized, efficient, scalable, and aligned with business needs.

Expected Business Impact
 

• Accelerate development cycles of data and AI use cases

• Enable efficient data analysis with consolidated core data products

• Ensure data quality and reliability by design

• Improve data discovery and understanding

• Create scalable data layering architectures

• Enable data privacy and security governance

• Reduce data-related risks

Key Responsibilities
 

Data Governance & Risk Management

• Translate compliance and security guidelines into actionable data management frameworks and processes

• Act as first line of defense for data risk management and data lifecycle monitoring

• Ensure compliance with regulatory standards and internal policies

• Design and enforce data classification and retention policies

• Supervise data privacy measures including anonymization and pseudonymization

• Establish and maintain a robust data quality control framework
   

Access Control & Security

• Design and implement data access and privilege control processes

• Enforce segregation of duties across the data platform

• Manage environment-specific access permissions (Production, Sandbox, Pre-Production, Non-Production)

• Monitor and audit data access patterns

• Implement least privilege access principles
   

Data Architecture & Modeling

• Support the definition and governance of data modeling standards and best practices

• Develop conceptual, logical, and physical data models for source systems and core/analytical data products

• Implement Data Vault design: create hub entities and satellite tables based on core data models

• Enforce naming conventions and design patterns to ensure consistency across the data warehouse architecture

• Create and maintain modeling guidelines and documentation

• Define business and information vault transformations
   

Data Discovery & Documentation

• Maintain a comprehensive data catalog and metadata repository

• Document data lineage across multi-layered architectures

• Create and maintain data dictionaries and business glossaries

• Establish documentation standards for all data assets
   

Stakeholder Collaboration

• Partner with Compliance and Security teams to implement actionable data management processes

• Collaborate with Data Analysts to gather requirements for core data products

• Work with Data Scientists to enrich analytical requirements using unstructured data

• Support ML/AI use cases by providing high-quality core data

• Collaborate with Data Engineering and application teams on source system integration and data modeling

Required Qualifications
 

Technical & Professional Skills

• Experience in Big Data platform governance and management

• Experience in following fields a definitive plus: Risk Management, Audit, Compliance, Security

• Proficiency with metadata management tools (Talend, Collibra, Unity Catalog)

• Solid foundation in database design, programming, and system analysis

• Strong SQL skills, understanding of data warehousing and ETL processes

• Minimum 8 years of professional experience (5+ years in relevant data management roles)

• Hands-on experience as a data analyst, data scientist, data engineer, or actuary

• Domain expertise in insurance or finance is advantageous

• Business-level English and/or Japanese N1/N2