Regional Data Lead

Mars

Regional Data Lead APAC ensuring effective data management and governance across the region. Collaborating with cross-functional teams for analytics product development and strategic data initiatives.

Posted 7/15/2026full-timeShanghai • 🇨🇳 ChinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data management, governance, and engineering, with a strong focus on compliance with regulations such as GDPR and CCPA. Proficient in leveraging data as a strategic asset while ensuring high-quality data availability and adherence to governance frameworks.

Highest-signal resume keywords

Data ManagementData GovernanceData Quality ManagementPythonSQL

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ManagementData GovernanceData Quality ManagementData AnalysisData VisualizationETL ProcessesData ModelingBig Data TechnologiesAgile Product FrameworkDevOps Principles

Soft Skills

CollaborationProject OwnershipCommunication

Tools & Technologies

Power BIMicrosoft Azure

Certifications & Qualifications

DAMASQL CertificationPython CertificationCAPMicrosoft Certification

Industry Keywords

GDPRCCPAData RegulationsData DomainsData Lifecycle Management

Tech Stack

Tools & technologies

AzureETLPythonSQL

About the role

Key responsibilities & impact

Execute the vision, strategy, and roadmap for APAC data domains in alignment with organizational goals and global data leadership.
Collaborate with business and IT stakeholders to prioritize data initiatives based on business value and strategic alignment.
Anticipate the data needs of product squads to unlock faster speed to value and insight.
Promote data as a strategic asset within the domain and across the organization.
Ensure adherence to data governance frameworks, policies, and standards.
Ensure data quality management is applied across domains, including defining metrics, monitoring processes, and remediating issues.
Ensure compliance with relevant regulations and internal policies, such as GDPR, CCPA, or industry-specific standards.
Drive the development and maintenance of core data assets within the domain (e.g., master data, transactional data, reference data).
Partner with data engineering teams to implement scalable data solutions.
Oversee data lifecycle management, including acquisition, storage, transformation, and archiving processes.
Monitor the operational performance of data systems and resolve escalated issues.
Optimize processes to improve data availability, reliability, and usability.
Act as the primary point of contact for data-related matters within the domain.
Work closely with functional leaders, business analysts, and other domain managers to understand requirements and translate them into actionable plans.
Align with global data domain leads on any areas of overlap.
Ensure transparency in data priorities, progress, and decision-making.
Support analytics and reporting needs by ensuring the availability of high-quality, well-documented, and governed datasets.
Partner with analytics and data science teams to deliver insights and drive innovation within the domain.

Requirements

What you’ll need

5-10 years of experience in data management, governance, engineering, integration, or related roles, with exposure to relevant data domains (e.g., Finance, Supply Chain, Sales, Marketing).
Understanding of applying data governance principles, DQM, compliance standards and security protocols to global data environments.
Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI).
Experience with DevOps principles such as CI/CD, unit testing.
Project Ownership skills with the ability to operate in Agile Product framework.
Conversant with Data Regulations and Laws e.g. GDPR, CCPA, PIPL.
Experience with big data technologies, ETL processes and Data modeling (ideally Microsoft Azure).
Bachelor’s degree in Computer Science, Data Engineering or related STEM (Science, Technology, Engineering, Mathematics) subject or similar.
Masters degree in above fields is preferred.
Accreditations/certifications (e.g. DAMA) in data management and/or data governance practices is desirable.
Professional certifications in SQL, Python, CAP, Microsoft certification is preferred.

Benefits

Comp & perks

A strong focus on learning and development support from day one, including access to our in-house Mars University.
An industry competitive salary and benefits package, including company bonus.