Job Description

DHL Group, the logistics provider of the world, has over 580,000 employees in more than 220 countries and territories. We are an organization that is not just moving goods around; we have a very clear purpose, and we are: Connecting People. Improving Lives. We provide challenges and opportunities for personal and professional development, we recognize the difference you bring to our business, and together we share the pride of building one of the largest world leaders in logistics and supply chain.

Our People Experience, Technology & Data

team aims to maximize personalized digital experiences for our colleagues, automate employee journeys, and simplify the overall HR architecture. Our focus areas include:

People's journeys along the employee lifecycle, employee experience, and digital touchpoints People-related data and technology architecture, analytics and reporting Cross-divisional HR services delivered through our global network of HR Shared Service Centers, closely aligned with the HR function, to support diverse HR processes and enable business growth

We are looking for a full-time, permanent position in APAC at Chennai, India.

Job Purpose:

The Referential Data Manager is the strategic owner of DHL's organizational HR data landscape, ensuring enterprise-wide accuracy, integrity, and governance of critical people and organizational structures.


In this role, you take end-to-end responsibility for designing and evolving reference data models across Shared Data Hubs and connected systems, proactively monitoring interfaces, investigating issues, and driving root cause analysis to resolve cross-system inconsistencies.


Leveraging deep expertise in HDL and/or People API, along with strong SQL and database skills, you perform advanced data validation, cleansing, and reconciliation activities.

Your tasks:

Own and govern the accuracy, consistency, and integrity

of enterprise reference data across SDH1, RDM, and their downstream consumers, ensuring compliance with global standards and data governance frameworks.

Proactively monitor and optimize data interfaces

, identifying complex integration issues early, coordinating cross-system impact assessments, and driving timely, sustainable resolutions.

Beyond technical execution

, you lead process optimization, influence data governance frameworks, and collaborate with divisional stakeholders to deliver scalable, high-quality data solutions that support both operational excellence and strategic transformation initiatives.

Lead advanced root cause analysis

for data discrepancies and interface failures, defining and implementing long-term corrective and preventive actions that improve overall system stability.

Execute sophisticated data validation, reconciliation, and cleansing activities

, leveraging expert knowledge of data models and system interdependencies to ensure high-quality and trusted data.

Act as a senior escalation point

for 2nd-level support, partnering with product owners, architects, and business stakeholders to resolve incidents, guide technical decisions, and minimize business disruption.

Champion and drive continuous improvement initiatives

, identifying optimization opportunities, refining data processes, and contributing to the evolution of global data standards and best practices.

Develop and maintain comprehensive documentation

, including data management procedures, governance guidelines, integration logic, and troubleshooting playbooks, enabling transparency, compliance, and knowledge transfer across teams.

Your profile:

5-7 years of advanced professional experience in

HR data management, HRIS integration, or enterprise data operations

within large-scale or global organizations. Extensive hands-on expertise with

Oracle HCM Cloud data tools

, including: +

HCM Data Loader (HDL)

for complex data loads, mass updates, and error remediation
+

People API

for real-time integrations and advanced troubleshooting
+

Reference Data Management (RDM)

and/or

Spreadsheet Data Loader (SDH)

for managing master data and configuration structures

High proficiency in SQL

, with the ability to perform complex data queries, reconciliations, integrity checks, and performance-focused troubleshooting.

Deep understanding of HR data architecture

, including organizational hierarchies, position structures, worker data models, and cross-system mapping rules.

Demonstrated experience in interface and integration monitoring

, including incident analysis, error pattern recognition, and execution of structured root cause and impact assessments.

Proven ability to operate independently as a senior L2 support expert

, managing escalations, providing authoritative guidance, and implementing sustainable corrective actions for HR data integrations.

Experience with process optimization and automation

, using tools or methodologies (e.g., scripting, workflow automation, Lean principles) to improve data quality and operational efficiency.

Strong exposure to global HR landscapes

, understanding diverse regulatory requirements, regional variations, and end-to-end cross-functional data flows.

Practical scripting or programming capabilities

(e.g., Python, Shell, PowerShell) to support data transformation, validation, or automation tasks.

We offer:

Great opportunity to work for the biggest logistics company in the world International and virtual environment Flexibility and great opportunity to learn Tempting compensation and benefits

DHL Group is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.


If this is something you would like to do, don't hesitate and start your application.



#scout