Senior Manager - HR Data Model and Analytics

PRUDENTIAL SERVICES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading financial services provider in Singapore is looking for a skilled professional to lead the HR data architecture. This role requires over 10 years of HR data management experience and advanced SQL proficiency, alongside strong collaboration and problem-solving skills. The successful candidate will design a scalable data architecture, oversee ETL processes, and ensure the reliability of data models across business intelligence tools. Join this dynamic team and contribute to high-impact data-driven decision-making.

Qualifications

• 10+ years of experience in HR data management and data architecture.
• Strong understanding of data modelling concepts and best practices.
• Advanced proficiency in SQL and experience with a scripting language.

Responsibilities

• Develop and maintain an extensive HR data model.
• Design and implement a scalable HR data architecture.
• Oversee automation and ETL processes.
• Implement frameworks to maintain data integrity.
• Define and document technical requirements for data projects.

Skills

HR data management

Data architecture

Database systems

SQL

Automation & ETL tools

Python

Communication skills

Testing methodologies

Problem-solving

Collaboration

Job description

This role involves leading the design, development, implementation, and maintenance of a comprehensive HR data architecture. This role requires a strategic partnership with IT to establish a state-of-the-art data lake, manage ETL processes, implement a testing & validation framework across BI tools and ensure the data infrastructure robustly supports the organization's analytics and reporting needs.

Roles & Responsibilities

• Develop and maintain an extensive HR data model that supports the organization's requirements for reporting, analytics, and data-driven decision‑making.
• Design and implement a scalable and integrated HR data architecture, connecting various systems and data sources.
• Lead the setup and management of a HR data lake, ensuring it is effectively optimized for storing vast volumes of structured and unstructured HR data.
• Oversee automation & ETL processes, including data extraction, transformation, and loading, to ensure data is accurately imported into the data lake and other systems.
• Implement data quality frameworks and processes to maintain high standards of data integrity and accuracy.
• Develop and implement a robust testing & validation framework across BI tools to ensure the reliability and accuracy of data models and reporting outputs as well as to validate data models, ETL processes, and data quality measures.
• Signing off on all HR BI solutions post meeting validation framework requirements before it moves to production.
• Define & document technical requirements and implementation details for data management projects, ensuring alignment with business objectives and IT standards.
• Collaborate with IT to support data-related technical issues and ensure alignment with the organization's data strategy.
• Stay abreast of industry trends and advancements in data management technologies and practices, recommending enhancements to the organization's data infrastructure.

Qualifications

• 10+ years of experience in HR data management, data architecture, and database systems, especially within Azure’s ecosystem with a strong understanding of data modelling concepts, techniques (dimensional, relational), and best practices.
• In‑depth knowledge of automation, ETL tools and methodologies for extracting data from source systems, transforming it into a usable format, and loading it into the data warehouse.
• Advanced proficiency in SQL for writing complex queries & a scripting language (Python, Java, etc).
• Experience in effectively communicating complex technical concepts to both technical and non‑technical audience.
• In‑depth understanding of various testing methodologies (functional, non‑functional, automation) across the BI development lifecycle.
• Experience in documenting technical requirements and implementation details.
• Strong collaboration skills to work effectively with IT and other stakeholders.
• A commitment to continuous learning and staying informed on industry trends and data management best practices.
• Excellent problem‑solving abilities and analytical thinking to address technical challenges that may arise during the data warehouse build process.
• Ability to lead projects and drive them to completion.
• Experience with data governance and compliance standards.