Data Governance Manager

About the job

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: About the role: We are seeking an experienced Data Governance Manager to lead and manage enterprise-wide data governance initiatives within our organization. The ideal candidate will have a strong background in developing and implementing data governance frameworks, metadata management, and data quality policies aligned with industry standards and regulatory requirements. In This Role, you will: - Develop, implement, and manage data governance frameworks, metadata management processes, and data quality policies to ensure data integrity and compliance. - Define and enforce data governance principles, standards, and best practices aligned with industry regulations such as BCBS239, GDPR, CCPA, etc. - Collaborate with teams responsible for Master Data Management, Data Privacy, and Security to ensure cohesive data management strategies. - Drive implementation and continuous improvement of the Data Governance tool — primarily Collibra, Informatica CDGC, Alation etc. - Engage and communicate effectively with senior stakeholders and cross-functional teams to understand data governance requirements and resolve complex data issues. - Willing to work in a hybrid working model. Mandatory skill sets: ‘Must have’ knowledge, skills and experiences: - Deep understanding and substantial experience in data governance, metadata management, master data management, and data quality frameworks, policies, and processes. - Strong knowledge of data management industry standards and regulations including BCBS239, GDPR, and CCPA. - Extensive hands-on experience with Collibra/ Informatica CDGC/Alation/ any other DG tool, including operating model design and working with Catalog connectors. - Experience in running Data Governance Literacy & Awareness programs. - Understanding of CRM Salesforce Data & experience in how to catalog & govern it. - Experience collaborating within global teams, steering committees, and governance forums to address and resolve data-related issues. Preferred skill sets: ‘Good to have’ knowledge, skills and experiences: - Certifications in Data Governance or related fields such as DAMA-CDMP, DCAM, CDMC, or tool-specific certifications. - Familiarity with other Data Governance tools such as Collibra, Informatica, Alation, Talend, Microsoft Purview, Atlan, Solidatus, etc. - Experience contributing to RFPs, internal/external Proof of Value (POV), Accelerator development, and other data governance frameworks. Years of experience required: 8 to 10 years of experience. Education qualification: BE, B.Tech, ME, M,Tech, MBA, MCA (60% above). Required Skills Metadata Management Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}

Requirements

• Data Governance
• Metadata Management
• Data Quality Policies

Qualifications

• Deep understanding and substantial experience in data governance
• Certifications in Data Governance or related fields

Preferred Technologies

• Data Governance
• Metadata Management
• Data Quality Policies

Benefits

• Inclusive benefits
• Flexibility programmes
• Mentorship

About the company

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.