At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. Those in information security at PwC will focus on protecting sensitive data and systems from cyber threats through risk assessments, security audits, and implementing robust security measures. Your work will help enable the confidentiality, integrity, and availability of information assets for clients.Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Apply a learning mindset and take ownership for your own development.
- Appreciate diverse perspectives, needs, and feelings of others.
- Adopt habits to sustain high performance and develop your potential.
- Actively listen, ask questions to check understanding, and clearly express ideas.
- Seek, reflect, act on, and give feedback.
- Gather information from a range of sources to analyse facts and discern patterns.
- Commit to understanding how the business works and building commercial awareness.
- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
This role focuses on designing, developing, and maintaining metadata processing, data lineage, and data quality solutions using various tools to support organizational data management policies. Responsibilities include implementing data integration and quality processes, resolving data issues through root cause analysis, documenting data models, and collaborating with business and IT stakeholders to ensure compliance with data governance frameworks and improve data integrity and security.
Minimum Years Experience Required
2 Years - 4 YearsRoles and Responsibilities
- 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 rules and processes.
- Develop custom data lineage solutions for complex technology platforms.
- Design, enhance, and sustain metadata and data pipelines to facilitate periodic data quality monitoring within the client's data management system.
- Conduct data analysis to identify, gather, and transfer data across various systems, integrating and linking diverse data sets to summarize and present insights and recommendations in the most suitable format for stakeholders.
- Document data models at physical, logical, and conceptual levels to support bank-wide IT and analytics issue identification and development.
- Analyze, document, and resolve issues identified from data mapping and data conversions, and 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 that adhere to the Clients data principles and governance framework.
- 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.
