To ensure effective oversight governance and compliance of data and AI assets across the enterprise. The role ensures adherence to data governance standards AI governance principles regulatory expectations ethical AI guidelines and responsible data usage. This includes maintaining data/AI policies monitoring compliance supporting AI governance forums and collaborating with Data Owners Stewards and business stakeholders to ensure trust transparency and accountability in AI systems.
- Support the implementation of enterprise data governance frameworks policies and standards ensuring alignment with enterprise data strategy regulatory requirements and ethical data use.
- Embed governance structures that not only ensure compliance but also enable innovation analytics and AI adoption.
- Coordinate AI risk assessments model documentation reviews and governance sign-offs.
- Track model lifecycle governance activities in alignment with Model Risk Management guidelines.
- Prepare periodic governance reports dashboards and compliance insights.
- Ensure proper documentation of data flows AI systems risks and controls.
Qualifications :
- BSc Information management Computer Science Data Science Law Risk Management or related fields.
- Certifications in Data Governance Privacy Risk or Responsible AI can be an added advantage.
Experience
- 36 years of experience in Data Governance AI Governance Compliance Risk Management or related functions.
- Experience working with data catalog metadata lineage or data quality tools.
- Familiarity with AI governance frameworks risk controls and regulatory expectations.
- Experience collaborating with audit risk compliance and technical teams.
Additional Information :
Behavioural Competencies:
- Adopting Practical Approaches
- Examining Information
- Exploring Possibilities
- Interpreting Data
- Managing Tasks
- Taking Action
Technical Competencies:
- Data Architecture
- Data Integrity
- Data Management (Administration)
- Information Management
Remote Work :
No
Employment Type :
Full-time
To ensure effective oversight governance and compliance of data and AI assets across the enterprise. The role ensures adherence to data governance standards AI governance principles regulatory expectations ethical AI guidelines and responsible data usage. This includes maintaining data/AI policies m...
To ensure effective oversight governance and compliance of data and AI assets across the enterprise. The role ensures adherence to data governance standards AI governance principles regulatory expectations ethical AI guidelines and responsible data usage. This includes maintaining data/AI policies monitoring compliance supporting AI governance forums and collaborating with Data Owners Stewards and business stakeholders to ensure trust transparency and accountability in AI systems.
- Support the implementation of enterprise data governance frameworks policies and standards ensuring alignment with enterprise data strategy regulatory requirements and ethical data use.
- Embed governance structures that not only ensure compliance but also enable innovation analytics and AI adoption.
- Coordinate AI risk assessments model documentation reviews and governance sign-offs.
- Track model lifecycle governance activities in alignment with Model Risk Management guidelines.
- Prepare periodic governance reports dashboards and compliance insights.
- Ensure proper documentation of data flows AI systems risks and controls.
Qualifications :
- BSc Information management Computer Science Data Science Law Risk Management or related fields.
- Certifications in Data Governance Privacy Risk or Responsible AI can be an added advantage.
Experience
- 36 years of experience in Data Governance AI Governance Compliance Risk Management or related functions.
- Experience working with data catalog metadata lineage or data quality tools.
- Familiarity with AI governance frameworks risk controls and regulatory expectations.
- Experience collaborating with audit risk compliance and technical teams.
Additional Information :
Behavioural Competencies:
- Adopting Practical Approaches
- Examining Information
- Exploring Possibilities
- Interpreting Data
- Managing Tasks
- Taking Action
Technical Competencies:
- Data Architecture
- Data Integrity
- Data Management (Administration)
- Information Management
Remote Work :
No
Employment Type :
Full-time
View more
View less