Senior Specialist AI Internal Audit Technology & Innovation Specialist
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Key skills for this role
About the Role
The Senior Specialist, Advisory within Internal Audit supports the Manager, Technology Audit and Enablement in leading initiatives aimed at driving innovation, improving processes, and enhancing assurance operations.
Key Skills for This Role
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Overview
The Senior Specialist, Advisory within Internal Audit supports the Manager, Technology Audit and Enablement in leading initiatives aimed at driving innovation, improving processes, and enhancing assurance operations.
The role focuses on integrating technology solutions, building and embedding AI agents and intelligent automation, supporting advisory engagements, and fostering a culture of continuous improvement to meet assurance objectives and regulatory standards.
Job Details – Key Responsibilities and Accountabilities:
Advisory And Enablement Management
- Provide input to the strategic plan and translate direction into key initiatives, action plans, and quality deliverables.
- Maintain strategic foresight by identifying business needs and emerging technologies (AI agents, automation, analytics) that strengthen assurance.
- Support advisory engagements and research in areas of expertise to assist the Leadership Team.
- Support progress reporting, facilitate workshops to resolve thematic issues, and oversee assigned external service providers.
Advisory And Innovation Delivery
- Support process improvement initiatives that increase efficiency, quality, and risk mitigation.
- Build, deploy, and maintain AI agents and automation that support advisory and assurance work.
- Integrate AI, automation, and analytics into planning, execution, and reporting for real-time insight, working with IT and data teams on smooth rollout.
- Track performance metrics, guide staff on new tools, and ensure innovation aligns with risk frameworks and regulatory requirements.
- Support work on emerging risks such as cybersecurity and data privacy, and deliver innovation projects end to end, on time and within budget, with regular updates to leadership.
Stakeholder Engagement
- Collaborate with audit leaders and cross-functional teams to drive innovation that meets business objectives.
- Build relationships with digital, technology, and functional leads, industry experts, and regulatory bodies, and act as a point of contact for advisory, enablement, and innovation matters.
- Provide timely, transparent reporting, and work with the engagement and QAIP teams to ensure quality and compliance with the Standards and methodology.
Continuous Improvement
- Improve procedures, tools, and techniques based on results, best practices, and regulatory changes to keep processes effective and efficient.
- Monitor recommendations, outcomes, and performance metrics, using the data to drive improvements.
- Stay current on trends and regulatory advances, foster innovation, and refine practices with QAIP based on stakeholder feedback.
- Policies and Procedures
- Support policies and procedures that enable innovation, aligned with organisational goals and regulatory requirements, ensuring adherence to established standards across all initiatives.
Human Capital Responsibilities
- Foster a collaborative environment and support colleagues through knowledge exchange and continuous learning.
- Ensure compliance with corporate and departmental policies and the IIA Code of Ethics, maintain and refine documentation with QAIP, and support environmental stewardship aligned with ISO standards.
Qualifications And Education
- Bachelor's degree in IT, Computer Science, Analytics, Data Science, Business Administration, or a related field.
- Professional certifications such as CIA, CISA, or PMP, and familiarity with audit methodologies, risk assessment, and compliance, are an advantage.
Experience
- Four or more years in technology, analytics, automation, internal audit, risk, or a related field.
- Proven delivery of process improvement and innovation using emerging technologies, including hands-on building or deploying AI agents, automation, or analytics solutions.
- Understanding of audit methodologies, risk frameworks, and regulatory requirements is an advantage.
Technical Competencies
- Practical experience with AI, automation, and data analytics tools.
- Good proficiency in Microsoft Office; high proficiency in English, with Arabic an advantage.
Skills
- Strong in applying technology and analytics to enhance assurance effectiveness; familiarity with auditing IT systems and infrastructure an advantage.
- Familiarity with agile methodologies and project management.
- Able to plan and oversee multiple initiatives simultaneously and work under pressure.
- Open to new approaches, with effective communication and interpersonal skills.
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