Data Governance Manager

OVERVIEW

KPMG in India, a professional services firm, is the Indian member firm affiliated with KPMG International and was established in September 1993. Our professionals leverage the global network of firms, providing detailed knowledge of local laws, regulations, markets, and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, and Vadodara.

KPMG in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment

KPMG Advisory professionals provide advice and assistance to enable companies, intermediaries, and public sector bodies to mitigate risk, improve performance, and create value. KPMG firms provide a wide range of Risk Advisory and Financial Advisory Services that can help clients respond to immediate needs as well as put in place the strategies for the longer term.

9+ years of experience predominantly in data related disciplines such as Data Governance, SAP master Data and data quality in oil and gas or financial services domain

• Coordinating with Data Srewards/Data Owners to enable identification of Critical data elements for SAP master Data – Supplier/Finance/Bank master.
• Develop and maintain a business-facing data glossary and data catalog for SAP master data (Supplier, Customer, Finance (GL, Cost Center, Profit Center etc), capturing data definitions, lineage, and usage for relevant SAP master Data
• Develop and implement data governance policies, standards, and processes to ensure data quality, data management, and compliance for relevant SAP Master Data (Finance, Supplier and Customer Master Data)
• Develop both end-state and interim-state architecture for master data, ensuring alignment with business requirements and industry best practices.
• Define and implement data models that align with business needs and Gather requirements for master data structures.
• Design scalable and maintainable data models by ensuring data creation through single source of truth
• Conduct data quality assessments and implement corrective actions to address data quality issues.
• Collaborate with cross-functional teams to ensure data governance practices are integrated into all SAP relevant business processes.
• Manage data cataloging and lineage to provide visibility into data assets, their origins, and transformations in SAP environment
• Facilitate governance forums, data domain councils, and change advisory boards to review data issues, standards, and continuous improvements.
• Collaborate with the Data Governance Manager to advance the data governance agenda.
• Responsible to prepare data documentation, including data models, process flows, governance policies, and stewardship responsibilities.
• Collaborate with IT, data management, and business units to implement data governance best practices and migrate from ECC to S/4 MDG
• Monitor data governance activities, measure progress, and report on key metrics to senior management.
• Conduct training sessions and create awareness programs to promote data governance within the organization.
• Demonstrate deep understanding of SAP (and other ERP system such as JD Edwards etc.) master data structures such as Vendor, Customer, Cost center, Profit Center, GL Accounts etc.

Primary Skills

Experience of implementing data governance in SAP environment both transactional and master data

• Expert knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums
• Ability to influence senior stakeholders and key business contact to gather and review the requirements for MDG
• Proven experience in driving Master data solutioning to implement S/4 Hana Green field.
• Strong knowledge on SAP peripheral systems and good understanding of Upstream and downstream impact of master Data
• Strong understanding of Master data attributes and its impact
• Strong analytical and problem-solving abilities.

Soft Skills

• Active listening, communication and collaboration, presentation, Problem solving, , Team management, Stakeholder management
• Project management. Domain knowledge [Procurement, Finance, Customer], Business Acumen, Critical thinking, Story telling
• Stay updated with industry trends, best practices and emerging technologies in data management, data analytics space.

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