PwC

DataGovernance-SeniorAssociate

Argentina FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior Associate candidates.

The Brief

“Data Governance- Senior Associate at PwC. Skills: Metadata Processing, Data Lineage, Data Quality. Design, develop, and maintain metadata processing solutions. Develop and implement data integration solutions for metadata, data lineage, and data quality”

What You'll Achieve.

Ensure data integrity across the organization; Safeguard personal information; Improve data collaboration; Improve data lineage; Improve data quality; Reduce data architecture complexity; Reduce information security risks

Industry & Context.

Problems you'll solve

Root cause analysis; Resolve issues identified from data mapping and data conversions

What They're Looking For.

Must Have

4 to 8 years of experience, Understand the importance of have a correct information management, Knowledge of Information Security and Data Protection, Correct Information Security Management

What You'll Do.

and maintain metadata processing solutions

Develop and implement data integration solutions for metadata

and maintain data quality processes

and manage data quality issues

Develop custom data lineage solutions for complex technology platforms

and sustain metadata and data pipelines

Conduct data analysis to identify

and transfer data across various systems

Document data models at physical

and conceptual levels

and resolve issues identified from data mapping and data conversions

How You'll Work.

Team & Collaboration

Collaborate with business analysts and data architects to understand requirements.; Collaborate with data owners and stewards to ensure compliance with data quality standards.; Manage stakeholder engagement to resolve them with both business and IT SMEs.; Partner with IT and business to design and implement data lineage and Data quality solutions; Partner with business to translate business criteria into technical data quality rules.; Support and influence the definition of clear goals to improve data collaboration, data lineage, data quality and reduce data architecture complexity and information security risks.

Full Job Description

**Industry/Sector** Not Applicable **Specialism** Data Governance **Management Level** Senior Associate **Job Description & Summary** At PwC, our people in legal services offer comprehensive legal solutions and advice to internal stakeholders and clients, maintaining compliance with regulations and minimising legal risks. These individuals provide strategic guidance and support across various industries. In privacy law and data protection at PwC, you will specialise in providing advice and guidance to clients on privacy laws and data protection regulations. You will help businesses navigate the complex landscape of privacy and data protection requirements, confirming compliance with applicable laws and regulations. Working in this area, you will assist in developing privacy policies, conducting privacy impact assessments, and implementing data protection measures to safeguard personal information. * * **Design, develop, and maintain metadata processing solutions using tools such as Ab Initio MetaHub, ** _Informatica EDC, Alation, Collibra_**, and OvalEdge software to support the client's data management policies and standards. Collaborate with business analysts and data architects to understand requirements.** * **Develop and implement data integration solutions for metadata, data lineage, and data quality**. * Develop, implement, and maintain data quality processes to ensure data integrity across the organization by monitoring data quality metrics, performing regular data quality assessments, and collaborating with data owners and stewards to ensure compliance with data quality standards. * Identify, document, and manage data quality issues to ensure timely and effective resolution, while leading root cause analysis and implementing corrective actions to prevent recurrence of these issues. * Develop, implement, and maintain data quality processes to ensure data integrity across the organization by utilizing data quality tools to develop and manage data quality rule

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