data governance, data management frameworks (DAMA), and insurance domain knowledge
. The candidate will be responsible for designing, implementing, and maintaining enterprise-wide data governance strategies, ensuring compliance with regulatory requirements, and driving data quality initiatives to support business decision-making in the insurance industry.
Key Responsibilities
Define and implement
data governance frameworks, policies, and standards
in alignment with DAMA principles.
Lead data governance initiatives across
insurance operations, underwriting, claims, policy administration, and regulatory reporting
.
Establish and monitor
data quality, metadata management, lineage, and stewardship programs
.
Partner with business and technology teams to ensure
data ownership, accountability, and compliance
.
Drive adoption of
data governance best practices
and ensure alignment with corporate and regulatory requirements (e.g., POPIA, GDPR, Solvency II where applicable).
Act as a subject matter expert for
data management practices
in the insurance sector.
Facilitate
data governance councils, working groups, and stakeholder engagement sessions
.
Develop and maintain
data glossaries, business rules, and reference data management standards
.
Provide guidance on
master data management (MDM), data integration, and data lifecycle management
.
Key Skills & Qualifications
12+ years of professional experience
in Data Governance, Data Management, or Enterprise Data roles.
Strong expertise in
DAMA-DMBOK framework
and data management disciplines.
Proven experience in the
insurance domain
(life, commercial, or general insurance).
Deep understanding of
regulatory and compliance requirements
impacting insurance data (e.g., POPIA, GDPR).
Hands-on experience with
data governance tools
(Collibra, Informatica Axon, Alation, or similar).
Strong knowledge of
metadata management, data lineage, data quality, and stewardship
practices.
Excellent stakeholder management and communication skills, with the ability to influence senior executives.
Professional certifications (preferred):
CDMP (Certified Data Management Professional), DAMA certifications
.
Education
Bachelor's or Master's degree in
Computer Science, Information Management, Data Science, or a related field
.
Job Type: Full-time
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