Data Quality & Governance Associate

PWC; Dublin; On-site; EUR 50,000 - 70,000; Full time

Job summary

PwC Ireland is seeking a Data Quality Governance Associate to join our Chief Data Office. This junior governance role supports the adoption of data quality frameworks, standards and operating practices across the business, reporting to the Data Quality Lead.

You will help embed best practice by engaging with stakeholders, clarifying roles and responsibilities, identifying data owners and data stewards, documenting procedures, and supporting process improvement to promote accountability for data

Qualifications

• Minimum 4 years’ experience in a data governance, data management, compliance, or data quality focused role.
• Third-level qualification required; a degree in Information Management, Data Management, Risk, Compliance or related field is desirable.
• Experience working with business stakeholders, supporting meetings or workshops, documenting processes, and tracking actions.
• Prior exposure to data management, data governance, data quality, data ownership or data stewardship concepts.
• Experience in a junior or support role within a Chief Data Office, transformation team, business operations function, risk function or governance team.
• Awareness of data governance frameworks, data quality standards or data management best practices, such as DAMA-DMBOK.
• Experience documenting processes, procedures, roles and responsibilities, meeting outputs or governance materials.
• Familiarity with data catalogs, metadata, data lineage, data quality tools or issue management tools would be beneficial but is not essential.
• This role does not require deep technical data analysis, however databricks and dashboard creation experience would be beneficial.

Responsibilities

• Support the Data Quality Lead in the implementation and ongoing improvement of data quality frameworks, standards, policies and procedures.
• Help embed data quality best practice across the business by engaging with stakeholders and supporting them in understanding their responsibilities for managing data quality.
• Assist in identifying and documenting data owners, data stewards and data custodians across key business areas.
• Support the definition and documentation of roles and responsibilities, including RACI matrices and operating model documentation for data quality activities.
• Create, maintain and improve standard operating procedures, process documentation, guidance materials and other governance artefacts relating to data quality.
• Support stakeholder workshops, meetings and working groups focused on data ownership, stewardship, issue management and data quality improvement.
• Help promote a culture of accountability for data quality by supporting business teams on the journey towards active ownership and stewardship of their data.
• Support the design and improvement of data quality processes, including issue identification, escalation, ownership, remediation tracking and governance reporting.
• Assist in maintaining data quality governance documentation, including standards, procedures, process maps, action logs and decision records.
• Work with cross-functional teams to support the documentation of data definitions, data lineage, metadata and critical data elements where required.
• Contribute to continuous improvement initiatives relating to data governance, data quality management and business adoption.

Skills

Attention to detail

Stakeholder engagement

Analytical thinking

Verbal communication

Written communication

Process documentation

Time management

Collaboration

Curiosity

Education

Bachelor's degree in Information Management / Data Management / Risk / Compliance or related field

Tools

Databricks

Job description

PwC Ireland is seeking a Data Quality Governance Associate to join our Chief Data Office. This junior governance role supports the adoption of data quality frameworks, standards and operating practices across the business, reporting to the Data Quality Lead.

You will help embed best practice by engaging with stakeholders, clarifying roles and responsibilities, identifying data owners and data stewards, documenting procedures, and supporting process improvement to promote accountability for data