Data Governance (Large Transformation Programme)

SATOS Jobs

City Of London

On-site

GBP 45,000 - 75,000

Full time

3 days ago
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Job summary

SATOS Jobs is seeking a data governance professional to lead enterprise-wide data ownership and catalog management. You will define policies, ensure data security, and drive quality initiatives across the organisation.

You will collaborate with stakeholders to understand data requirements, perform profiling and cleansing, and implement governance standards aligned with GDPR and data protection laws.

Qualifications

  • Minimum 3 years in a data role.
  • Experience documenting data processes and lineage.
  • Strong data analysis skills.
  • Ability to define operational design and policy standards.
  • Understanding data integration patterns.

Responsibilities

  • Define data ownership and accountability across the organisation.
  • Create and manage the enterprise-wide data catalog.
  • Oversee metadata creation and use.
  • Implement and maintain data security protocols.
  • Establish and enforce data governance and policy standards.
  • Regularly audit data access for compliance.
  • Collaborate with stakeholders to understand data requirements.
  • Conduct data profiling and quality assessments.
  • Monitor data cleansing and remediation for data integrity.
  • Provide data training and awareness on data protection laws including GDPR.
  • Stay updated with data management best practices.
  • Support data integration and migration projects.
  • Participate in data protection and privacy initiatives.
  • Develop and track data quality metrics.
  • Establish data lifecycle governance processes and archiving strategies.

Skills

3+ years in data
document data processes
data analysis techniques
operational design
data governance
data integration patterns
business data models
data profiling
data cleansing
data validation
data ownership
metadata management
security protocols
GDPR knowledge
Purview

Tools

Purview

Job description

Requirements
  • Minimum of 3 years' experience working in a data role Capability to present and guide expectations aligned to Data Best Practice (DBP)Guidance
  • Proficient in documenting data processes, data lineage and data management activities
  • Excellent data analysis techniques
  • Capable of creating and providing operational design and policy standards
  • Good understanding of the client's data integration patterns
  • Good understanding of business data models for internal and external stakeholders
  • Expertise in data profiling, data cleansing and data validation techniques
  • Can identify impacts of data (or bad data)
  • Exposure to a range visualisation and reporting techniques to drive data integrity standards.
  • Purview is a must
Responsibilities
  • Define data ownership and accountability across the organisation
  • Create and manage the enterprise-wide data catalog
  • Oversee the creation, maintenance and use of metadata
  • Implement and maintain security protocols to protect data from unauthorised access and breaches
  • Establish and enforce data governance and policy standards
  • Regularly audit data access and usage to ensure compliance with policies and standards
  • Collaborate with business stakeholders to understand data requirements and identify data quality issues
  • Conduct data profiling and quality assessments to identify data discrepancies and inconsistencies
  • Monitor the performance of data cleansing and remediation plans for data integrity
  • Provide data training and awareness to employees, improving employee capabilities and competency to understand data and there controls - inclusive of knowledge for data protection laws and regulations such as GDPR
  • Stay up-to-date with data management best practices and industry trends
  • Support data integration and migration projects
  • Participate in data protection and privacy initiatives
  • Develop and track key data quality metrics to measure improvements over time
  • Establish and manage data lifecycle governance processes, including data creation, storage, use and disposal.
  • Define and implement data archiving strategies to preserve data for legal, regulatory and business purposes.
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