Data Governance
6 months ago
**Job Description**:
Understanding of Master Data Management technology landscape, processes, and
design principles
- Deep understanding of the data Design Principles and the implementations:
- Design for Users
- Design for Failures
- Design for scale and performance
- Design for security
- Design for Operations
- Knowledge on Data Governance Drivers: While a Data Governance
Manager Professional should always strive to improve data practices from 2
factors:
1- compliance with external data regulations including GDPR (General Data
Protection Regulations) Sarbanes-Oxley, Basel I, Basel II, HIPAA, etc.
2- value realization of DG effort in terms of business values such capturing
revenue related issues or Customer Experience issues out of lack of data
practices like Data Quality.
Furthermore, a Data Governance Manager should be aware that each
company assesses risks differently. Understanding the guidelines
referenced by COBIT, ISO/IEC, 38500 and others will help you along the
way.
- Data Integration: Data Integration or Enterprise Information Integration
(EII) is the sharing of heterogeneous data sources under a single query
interface. Problems such as duplicating data, semantic integration and
definition errors between databases occur often; the Data Governance
Manager addresses and finds solutions for shared database problems.
- Data Warehousing: While A Data Governance Manager is not a necessarily
a Data Warehouse expert, one should understand the difference between
ETL-based platforms and warehousing constructed from integrated data
source systems.
DAMA certified or equivalent.
Understanding of Data Governance domains (15 domain according to DAMA framework).
Prior contribution in Building Holistic Data Governance (Assessment and framework, Policies
and Technology, DG roadmaps)
Operational familiarity in the use of meta-data management, data quality, and data
stewardship tools and platforms
Experience in the use of data catalogues and data quality technologies
Hands-on operational management and change management.
Proven track record in operating large data governance programs. Knowledge of
Cloud based big data frameworks such as data lake, relational, Graph and other no
- SQL databases
- Experience in managing enterprise data assets in a large, complex organization
Ability to analyse complex situations and to derive workable actions
Ability to constructively challenge requirements and current state to increase overall
value to the firm
Excellent English communication skills
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