Senior Master Data Specialist — Hybrid, Growth & Recognition

ProV International PH; Makati; Hybrid; PHP 800,000 - 1,200,000; Full time

Benefits offered by this job

Innovative Tech Focus

Global Exposure

Rapid Career Growth

Work-Life Balance

Continuous Learning

Frequent Rewards & Recognition

Employee Perks

Collaborative Culture

Job summary

ProV International Philippines is seeking a Senior Master Data Specialist to join our Global Master Data team. The role combines hands-on MD activities with technical ownership, coordinating tasks across MD specialists and project teams for accurate data across domains.

The ideal candidate brings solid MD/MDM experience, advanced Excel and SQL skills, strong analytical thinking, and the ability to work autonomously in a collaborative, hybrid environment.

Qualifications

• Hands-on MD management experience required.
• Experience with data cleansing, validation and mass data activities.
• Advanced Excel skills with large datasets.
• Practical SQL skills and database querying.
• Strong analytical and problem-solving abilities.
• Proactive, solution-oriented mindset and cross-functional collaboration.

Responsibilities

• Perform Master Data maintenance across multiple domains, including MSER/LIS-LOINC Mapping and Product Catalog.
• Take technical ownership of Master Data activities within projects and coordinate tasks with MD Specialists.
• QA, functional testing and validation of Master Data Portal implementations.
• Ensure Four-Eyes Principle reviews and cross-domain knowledge sharing.
• Provide senior technical guidance and backup for other MD specialists.

Skills

Master Data Management

Data Management

SQL

Excel

Data Analysis

Stakeholder Management

English Fluency

Education

University degree

Tools

Jira

SQL Server

Job description

ProV International Philippines is seeking a Senior Master Data Specialist to join our Global Master Data team. The role combines hands-on MD activities with technical ownership, coordinating tasks across MD specialists and project teams for accurate data across domains.

The ideal candidate brings solid MD/MDM experience, advanced Excel and SQL skills, strong analytical thinking, and the ability to work autonomously in a collaborative, hybrid environment.