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AKQUINET BRASIL

1 week ago

Master Data Governance and Cleansing Specialist

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Company information

Company
AKQUINET BRASIL
Location
Brasil, Sul, Rio Grande do Sul, Caxias do Sul Brazil
Posted
1 week ago
View all jobs at AKQUINET BRASIL

Job description

akquinet Brasil is looking for a Master Data Governance and Cleansing Specialist to join our team ⛵

If you have experience with material registration, data quality, technical classification, taxonomies, master data governance, and constantly seek ways to use Artificial Intelligence to optimize processes, this opportunity might be for you!

The professional will work on Master Data Management (MDM) projects, supporting cleansing, classification, standardization, and master data governance initiatives for clients in different segments.

In addition to project execution, they will be responsible for the evolution of the company's cleansing methodology, definition of standards, quality indicators, best practices, and the use of Artificial Intelligence applied to Data Governance.

We are looking for someone with an analytical profile and technical leadership, capable of structuring processes, defining corporate standards, training the team, and acting as an internal reference in Master Data Governance and Cleansing.

➡️ Main activities:

• Structure and evolve the company's material cleansing methodology;

• Execute master data cleansing, classification, enrichment, and governance projects for clients in different segments;

• Create, review, and maintain PDMs (Descriptive Material Standards), taxonomies, categories, classes, attributes, and cataloging rules;

• Structure standardized descriptions, corporate standards, and data governance processes;

• Interpret manufacturer catalogs, technical data sheets, drawings, standards, and other technical documentation;

• Define standards, indicators (KPIs), and continuous improvement actions for master data quality and consistency;

• Participate in the definition, evolution, and utilization of Artificial Intelligence solutions applied to master data classification, enrichment, governance, and cleansing;

• Support clients and business areas in defining corporate standards for materials;

• Act as a technical reference in Data Governance, MDM, and catalog management initiatives, supporting team training and development.

➡️ Basic requirements:

• Proven experience with master data cleansing, cataloging, or management;

• Experience with materials in ERP systems;

• Experience with Master Data Management (MDM) and Master Data Governance (MDG) processes or tools;

• Experience in creating, reviewing, and maintaining PDMs (Descriptive Material Standards);

• Knowledge of taxonomies, classification, cataloging, and technical specifications of materials;

• Ability to interpret technical documentation, drawings, catalogs, and manufacturer datasheets;

• Experience with industrial materials, MRO, maintenance, procurement, or engineering;

• Knowledge of data quality and governance;

• Ease in analyzing large volumes of information and identifying patterns;

• Knowledge of Excel or similar data analysis and quality tools.

➡️ Differentiators:

• Experience in large-scale material cleansing projects;

• Experience in structuring master data governance processes and methodologies;

• Knowledge of taxonomies such as UNSPSC, eCl@ss, or similar;

• Knowledge of fiscal classification (NCM);

• Knowledge of ABNT, ASTM, DIN, ISO, ANSI, ASME standards, or equivalents;

• Experience with Power BI;

• Experience in using Artificial Intelligence applied to master data classification and cleansing;

• Knowledge or experience in SAP ECC and SAP S/4HANA;

• Intermediate or advanced English for reading and technical research.

➡️ Soft skills:

• Attention to detail;

• Analytical thinking;

• Communication and teamwork;

• Organization and time management;

• Autonomy, proactivity, and sense of responsibility;

• Ability to structure processes and solve problems.

➡️ We offer:

• Salary compatible with the role;

• Many growth opportunities;

• Participation in innovative projects involving Artificial Intelligence, MDM, and Data Governance;

• Differentiated work environment;

• Flexible hours;

• Hybrid work (after initial adaptation);

• Profit/results sharing.

Interested candidates should send their resume to the email:

[email protected]

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