Data Governance_Manager

PwC Acceleration Center India

Bengaluru

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Benefits offered by this job

Professional development opportunities
Innovative work environment

Job summary

A global professional services firm is seeking a Data Governance Manager with 8 to 12 years of experience in data governance. This full-time role requires expertise in metadata processing, data quality solutions, and strong analytical skills. The candidate will design, develop, and maintain data solutions, leading initiatives to ensure adherence to governance frameworks. Excellent mentorship abilities and project management experience are also integral to this mid-senior level position, which promises to enhance your professional development in a dynamic environment.

Qualifications

  • Minimum 8 to 12 years of experience in data governance.
  • Strong experience with data management tools.
  • Ability to mentor team members effectively.

Responsibilities

  • Design and maintain metadata processing solutions.
  • Implement data integration and quality processes.
  • Manage data quality issues and root cause analysis.
  • Develop custom solutions for data lineage.
  • Conduct thorough data analysis and documentation.

Skills

Data analysis
Project management
Team mentorship
Conflict resolution
Technical standards adherence
Data quality monitoring

Tools

Ab Initio MetaHub
Informatica EDC
Alation
Collibra
OvalEdge

Job description

Get AI-powered advice on this job and more exclusive features.

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
  • 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

8 Years to 12 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 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 client's 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.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
  • Professional Services

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