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Old Mutual

Life insurance, asset management, and banking

Data Governance and Privacy Manager

Privacy & Data ProtectionPosted on Nov 5
Full-timeJohannesburg, South AfricaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in information systems, data management, computer science, risk management, information security, statistics, business, or a related discipline is required.
  • At least 6–8 years of relevant experience in data risk, IT risk, information governance, data governance, information security, technology risk, or a related discipline is required.
  • Strong understanding of data management principles, data quality, metadata, lineage, ownership, and lifecycle controls is required.
  • Experience assessing privacy, information security, data access, data integrity, and data availability risks is required.
  • The required skills include action planning, adaptive thinking, business requirements analysis, business risk management, cultural awareness, database administration, data compilation, data controls, data governance, data management, information evaluation, plan execution, expertise management systems, graphical user interface development, information governance, IT architecture, privacy compliance, readiness assessments, risk frameworks, risk management strategies, and user requirements documentation.
  • The required competencies include action orientation, business insight, collaboration, effective communication, courage, cultivating innovation, customer focus, and decision quality.
  • The role requires a Bachelor of Commerce (BCom) in Management or Information Systems and Technology, as listed in the education section.

Responsibilities

  • Establish, lead, and maintain independent second-line oversight of data governance, data risk, data quality, and privacy compliance across OMI.
  • Ensure OMI manages data as a strategic and regulatory-compliant asset, independently challenge first-line operational teams, and ensure alignment with South African regulatory requirements such as POPIA.
  • Develop, maintain, and embed the Data Risk Management Framework, policy, and standards in alignment with the Old Mutual Group enterprise risk framework.
  • Define the data risk taxonomy, including data quality, data privacy, data lineage, retention, data access, AI/model data, and third-party data.
  • Propose data risk appetite statements, key risk indicators, and tolerance thresholds for approval by risk committees.
  • Provide independent oversight of the implementation and effectiveness of data governance policies, standards, procedures, and control frameworks.
  • Ensure data risks are integrated into enterprise risk registers, technology risk assessments, operational risk assessments, and relevant business risk management processes.
  • Maintain a forward-looking view of emerging data risks from business strategy, digital transformation, acquisitions, technology changes, outsourcing, and new data use cases.
  • Conduct independent reviews and risk assessments of material data processes, systems, business initiatives, third-party vendor data-sharing agreements, and change programmes.
  • Review and challenge first-line risk and control self-assessments for data-related risks across underwriting, claims, finance, actuarial, and IT.
  • Oversee and challenge Data Protection Impact Assessments for new business initiatives, products, and technology implementations.
  • Evaluate the design and operating effectiveness of preventive, detective, and corrective data controls.
  • Identify systemic weaknesses, recurring control failures, and risk concentrations across business units, applications, data domains, and third parties.
  • Review material data incidents, breaches, quality failures, and reporting inaccuracies to assess root causes, control weaknesses, and the adequacy of management responses.
  • Track data risk events, incidents, and breaches through root-cause analysis to closure of remediation actions.
  • Assess whether controls ensure data is accurate, complete, consistent, valid, timely, unique, and fit for its intended purpose.
  • Oversee risk management practices supporting data lineage, traceability, reconciliation, and data transformation across source systems, operational platforms, data warehouses, and reporting environments.
  • Monitor material data quality issues, recurring exceptions, unresolved defects, and the effectiveness of corrective actions.
  • Provide oversight of data migration and conversion risks, including reconciliation, completeness validation, record integrity, and business sign-off.
  • Assess the reliability of critical management information and regulatory submissions where data deficiencies could affect decision-making, financial soundness, or regulatory compliance.
  • Provide independent oversight of data protection and privacy risks in collaboration with the Information Officer and Privacy, Legal, Compliance, and Information Security functions.
  • Assess whether controls protect personal, sensitive, confidential, and commercially critical information throughout its lifecycle.
  • Oversee risk arrangements for data classification, access restrictions, encryption, masking, anonymisation, secure transfer, retention, and secure disposal.
  • Assess risks associated with unauthorised access, disclosure, loss, alteration, misuse, or inappropriate sharing of data.
  • Challenge weaknesses in data access governance, including excessive privileges, inappropriate access, segregation-of-duties conflicts, and inadequate periodic access reviews.
  • Assess risks arising from processing and sharing policyholder, claimant, beneficiary, employee, and other personal information.
  • Provide risk oversight of cross-border data transfers, outsourced processing, data-sharing arrangements, and external service providers.
  • Monitor material data privacy and confidentiality incidents, ensuring root causes, control weaknesses, and corrective actions are addressed by accountable first-line owners.
  • Support control functions in assessing compliance with applicable data protection and privacy obligations, including POPIA.
  • Establish risk-based criteria for identifying and prioritising critical data assets, datasets, data flows, and business processes.
  • Evaluate whether critical data assets are protected against loss, corruption, unauthorised modification, and unavailability.
  • Assess data resilience arrangements, including backup integrity, recoverability, restoration testing, and dependency on critical data platforms.
  • Assess risks arising from legacy systems, fragmented data environments, shadow data stores, uncontrolled data extracts, and unmanaged copies of sensitive information.
  • Oversee data risks associated with outsourced services, cloud platforms, administrators, service providers, business partners, and other external parties.
  • Assess whether third-party arrangements appropriately protect confidentiality, integrity, availability, and lawful processing of organisational data.
  • Challenge the adequacy of data-related due diligence, contractual safeguards, audit rights, subcontracting arrangements, incident notification obligations, and exit provisions.
  • Assess risks associated with external data hosting, offshore processing, concentration of critical data services, and dependency on key providers.
  • Monitor material third-party data risks and remediation commitments in collaboration with Third-Party Risk Management and Procurement.
  • Independently challenge controls governing the return, transfer, retention, and secure destruction of data when contracts terminate or services change.
  • Maintain oversight of data-related risk findings, incidents, control deficiencies, and agreed management actions.
  • Challenge remediation plans for completeness, practicality, accountable ownership, milestones, and sustainable resolution.
  • Validate evidence provided by first-line management to demonstrate that agreed actions have been completed.
  • Monitor overdue actions, repeated findings, management risk acceptance, and residual exposure.
  • Escalate ineffective remediation, recurring failures, and unresolved material risks to appropriate governance forums.
  • Collaborate with Internal Audit, Compliance, and other assurance providers to support coordinated assurance and reduce duplication of effort.

Desired Qualifications

  • A relevant postgraduate qualification in risk management, information systems, data governance, or a related field is advantageous.
  • CISA, CRISC, CGEIT, or COBIT 2019 certifications are advantageous.
  • Certified Data Management Professional, CIPP/E, or CIPM certification is listed.
  • Exposure to AI governance, model risk, or automated decision-making risk is advantageous.

About the Company

Old Mutual

Life insurance, asset management, and banking

Generating summary for Old Mutual.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1845

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