Job Description :

Lead data governance architect managing and designing the data governance solution including the following tasks:

 

Providing feedback on preferred methods and best practices on data governance /Management strategies.

Working with business to understand DG use cases and perform POCs for the same as part of IT team – Collibra as the DG tool

Work with Security, infrastructure, networking teams on DG platform assessment, implementation

Designing data governance operating model and its implementation.

Designing workflow constructs and logic.

Understanding and enabling DG related integrations using APIs / other methods

Analyzing and developing metadata workflows and helping to integrate 3rd party software/tools as needed.

Analyzing and developing DG workflows.

·         Help establish best practice and ownership of the corporate taxonomy and ontology and develop rules for their use.

·         Develop standards, policies and procedures to support the creation and provide technical assurance for the on-going implementation of the data governance policy within the business

·         Continually assess and identify risks in line with the organization’s risk management approach, ensuring they are mitigated and accounted for work within the data governance program

·         Support and supervise information stewardship activities and management of data quality, retention and uses

Required Skills

 

10+ years experience on architecting DG solutions

Knowledge of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems.

Design of Data Governance Organization including steering committee, data governance office, stewardship layer and other working groups.

Setup people and processes including relevant roles, responsibilities and controls, data ownership, workflows and common processes.

Understand the current business and data landscape, Work with business to define Data Governance Organization and Business Glossary.

Enhance the underlying meta-model to meet ongoing technical requirement

Relational Data Analysis including SQL queries, Data Optimization and Quality Analysis

             

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