Senior Consultant Data Governance

Description:

Job Description:

• Conduct a current state assessment and data maturity assessment to determine the data strategy, governance framework, and target operating model for the data organization.
• Participate in data management policy (data governance, data quality, metadata management, data sharing, etc.) and process creation, and analyze the potential impacts of policies and processes on the organization.
• Support the development and maintenance of an end-to-end data lifecycle management approach by being responsible for applying the data governance framework, including the management of data, operating model, data policies, and standards.
• Assist with data architecture reviews and advise on data solutions that pertain to data governance programs (data catalog, data quality, business glossary, data tools/software, metadata management, master data management, lineage, etc.).
• Conduct workshops to understand database structure/data lineage analysis in order to understand relevant data elements along with their definitions and uses.
• Design and perform data profiling and provide support in monitoring the data quality process, identifying data quality issue patterns, applying remediation plans, implementing data controls, and managing data quality remediation strategies.

Knowledge and Skills:

• Should be familiar with data management trends and standards (like DMBOK), including data management principles and methodologies.

• Understanding of Information Architecture, Data Modelling, Data Storage, Data Integration, Data Warehousing, Business Intelligence, Master Data Management technology landscape, processes, and design principles

• Operational familiarity with the use of leading commercial vendors or tools/platforms that relate to data quality, governance, catalogs, meta-data management, reference & master data management. 

• Proven track record in operating large data governance programs and experience in managing enterprise data assets in a large, complex organization

• Experience in developing and operationalizing data-based guidelines, policies, procedures, and standards

• Certifications related to Data Governance, Applicable Vendor or Industry certification is preferred not mandatory.