Data Governance Manager

We are looking for Senior Data Governance resource with below skillset.

Responsibilities:

-To be able to take ownership on Data governance projects by communicating with different Business departments, Data Owners and Data Stewards.

-Facilitate the development and implementation of data quality standards across the organization

-Serve as a focal point between Business areas and technology to ensure that data related business requirements considered as part of operational prioritization and planning.

-To have excellent knowledge in Data Mapping with Business requirements, prepare technical as well as functional mapping.

-Have experience in Analyzing the Source systems, identify & document data quality issues and data synchronization issues and provide root cause analysis.

-Should have good exposure in creating data quality rules and meta data management

-Able to define and implement policies, processes, procedures and standards for the governance and management of data.

-Promote data learning / literacy across the business, empowering employees to gain access to data / tools to quickly achieve insights to better perform their roles.

-Define use cases for data management and data governance appropriate for organizational data maturity levels.

-Guide the data design of solutions for large projects and programs; through expert knowledge translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards.

-Ensure technology solutions are aligned with data architecture principles and target state.

-Oversee end-to-end data lifecycle management activities.

-Ensure business reports and metrics derived from controlled data are consistent and representative of the true state of the business. Technical Competencies:

Requirement:

-Enterprise data management - data integration, data security, metadata management, master data management, data governance, data warehousing, and data quality – Advanced.

-Data Lineage - Advanced

-Business Glossary - Advanced

-Enterprise data architecture for both transactional and analytical platforms – Advanced.

-Data Governance Tools – Advanced

-Strong understanding of Agile methodologies – Advanced.

-Data-visualization and self-service BI/analytics tools – Intermediate.

-Strong communication (written, spoken) and presentation skills are required.

Qualifications & Experience Required Qualifications:

-Bachelor’s degree in computer science, MIS, Computer Engineering, or related field required (master’s degree preferred)

-Project Management Professional (PMP) preferable. Preferred Experience:

-7+ years of data solution architecture, design and development experience across both OLTP systems and data warehouses.

-5+ years in data governance & master data management.

-3+ years in reporting, analytics

-Prior experience in Banking/Financial Services industry is strongly preferred.