Remote Master Data Management Engineer

1801 Haleon Argentina S.A.; Quilmes; Remote; ARS 69,181,000 - 99,928,000; Full time

Job summary

Chevron is seeking an IT System Support Analyst focused on Master Data Management in Buenos Aires. The role blends business analysis with application engineering to enable enterprise MDM capabilities and governance, driving data quality from requirements through deployment and operations.

You will work with business stakeholders, data owners, and engineers to ensure scalable, governed data solutions that support analytics and AI-driven initiatives.

Qualifications

• Experience as a Business Analyst, Data Analyst, Application Engineer, or similar role.
• Solid understanding of Master Data Management principles.
• Knowledge of data governance, data quality, stewardship, metadata management, and business processes.
• Experience working with business stakeholders to elicit and document requirements.
• Ability to translate business requirements into technical solutions.
• Experience working in Agile environments.

Responsibilities

• Bridge business needs and technology solutions to enable enterprise Master Data Management capabilities.
• Define requirements with stakeholders and document them.
• Improve data quality and implement governance processes.
• Deliver scalable MDM solutions across the lifecycle, from design to deployment and support.
• Collaborate with data owners, stewards, architects, and engineers to ensure governance and governance-driven analytics.

Skills

Business Analyst

Data Analyst

Application Engineer

Product Analyst

Master Data Management

Data governance

Data quality

Metadata management

Business processes

Job description

Chevron is seeking an IT System Support Analyst focused on Master Data Management in Buenos Aires. The role blends business analysis with application engineering to enable enterprise MDM capabilities and governance, driving data quality from requirements through deployment and operations.

You will work with business stakeholders, data owners, and engineers to ensure scalable, governed data solutions that support analytics and AI-driven initiatives.