PwC
DataGovernance-SeniorAssociate
Neural analysis suggests this role is
optimal for Senior Associate candidates.
“Data Governance- Senior Associate at PwC. Skills: metadata processing, data lineage, data quality. Design metadata processing solutions. Develop metadata processing solutions”
What You'll Achieve.
ensure compliance with applicable laws; safeguard personal information; support client's data management policies; ensure data integrity; ensure compliance with data quality standards; ensure timely and effective resolution; prevent recurrence of these issues; ensure data integrity; facilitate periodic data quality monitoring; summarize and present insights; support bank-wide IT and analytics issue identification; resolve them with both business and IT SMEs; adhere to Clients data principles; adhere to governance framework; improve data collaboration; improve data lineage; improve data quality; reduce data architecture complexity; reduce information security risks
Industry & Context.
root cause analysis; resolve data issues; resolve data mapping issues
What They're Looking For.
Must Have
4 to 8 years of experience, metadata processing, data lineage, data quality solutions, organizational data management policies, data integration, data quality processes, root cause analysis, data models, business and IT stakeholders, data governance frameworks, data integrity, security
Nice to Have
Information Security, Data Protection, Information Security Management
What You'll Do.
Design metadata processing solutions
Develop metadata processing solutions
Maintain metadata processing solutions
Develop data integration solutions
Implement data integration solutions
Develop data quality processes
Implement data quality processes
Maintain data quality processes
Identify data quality issues
Document data quality issues
Manage data quality issues
Lead root cause analysis
Implement corrective actions
Develop custom data lineage solutions
Design metadata pipelines
Enhance metadata pipelines
Sustain metadata pipelines
Conduct data analysis
Integrate diverse data sets
Link diverse data sets
Present recommendations
Analyze data mapping issues
Document data mapping issues
Resolve data mapping issues
Manage stakeholder engagement
Design data lineage solutions
Implement data lineage solutions
Design data quality solutions
Implement data quality solutions
Translate business criteria
Improve data collaboration
Reduce data architecture complexity
Reduce information security risks
How You'll Work.
Team & Collaboration
Collaborate with business analysts; Collaborate with data architects; Collaborate with data owners; Collaborate with data stewards; Partner with IT; Partner with business; Manage stakeholder engagement
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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