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.Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), 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
10 Years- 14 Years
Roles 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.
