About the Role

We are seeking a motivated AI & Data Assurance Consultant to join our Audit & Assurance practice in Singapore. As organisations accelerate their adoption of artificial intelligence and data-driven technologies, the need for effective governance, risk management, and independent assurance continues to grow.

In this role, you will support clients in assessing, designing, and strengthening their AI and Data Governance, Risk and Control environments, helping them adopt emerging technologies responsibly, securely, and in alignment with regulatory expectations. You will work across AI and Data Assurance engagements, collaborating with multidisciplinary teams and senior professionals to deliver practical solutions covering governance frameworks, risk assessments, control design, operationalisation, and assurance.

We welcome candidates with experience in AI Governance and/or Data Governance, IT Audit, Technology Risk, or related assurance disciplines who are interested in developing their expertise in AI Assurance.

Key Responsibilities

1. AI & Data Governance, Risk and Controls

Support the assessment, design, and operationalisation of AI and Data Governance frameworks, policies, standards, and target operating models.
Identify, assess, and document AI and data-related risks, including data quality, privacy, security, bias, fairness, transparency, explainability, and model robustness.
Assist in developing AI and Data Risk and Control Matrices (RCMs), risk registers, control libraries, and mitigation plans.
Support mapping of governance requirements and controls to recognised frameworks and regulatory expectations, including ISO/IEC 42001, NIST AI RMF, Singapore's Model AI Governance Framework, and relevant data protection requirements.
Conduct gap assessments and develop practical recommendations and remediation roadmaps.

2. AI & Data Assurance

Support assurance engagements assessing governance arrangements, risk management practices, and the design and operating effectiveness of controls.
Assist in developing risk-based audit and assurance procedures, testing methodologies, and evidence requirements.
Perform control assessments and testing across AI and data lifecycles, including data acquisition, development, deployment, monitoring, and ongoing governance.
Evaluate data governance practices covering data quality, lineage, ownership, access management, privacy, and lifecycle management.
Document findings, control deficiencies, remediation recommendations, and structured assurance reports.

3. Client Delivery & Advisory

Participate in client workshops, stakeholder interviews, walkthroughs, and risk assessment discussions.
Support development of AI and Data Governance policies, procedures, control frameworks, and operating models.
Translate regulatory, governance, and risk requirements into practical controls and implementation recommendations.
Collaborate with Risk, Compliance, Internal Audit, Technology, Cybersecurity, Data, and AI stakeholders.
Contribute to presentations, assessment reports, proposals, and other engagement deliverables.

4. Practice & Solution Development

Contribute to Deloitte's AI and Data Assurance methodologies, toolkits, and accelerators.
Support development of AI risk assessment tools, control libraries, testing procedures, and reporting templates.
Stay informed of AI governance, data governance, emerging technologies, and relevant regulations and standards.
Participate in internal knowledge sharing, training, and solution development.

Requirements

Education & Professional Experience

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Business, Accounting, Risk Management, Law, or a related discipline.
Minimum 3 years of relevant professional experience in consulting, assurance, governance, risk management, or technology-related roles.
Experience in one or more of: AI Governance / AI Risk / AI Assurance; Data Governance / Data Risk / Data Assurance; IT Audit / Technology Risk / ITGC; Enterprise Risk Management / Internal Audit / Regulatory Compliance.
Experience supporting advisory, risk assessment, audit, or assurance engagements.
Ability to prepare professional client deliverables, assessment reports, and structured documentation.

Technical & Domain Knowledge

Understanding of governance, risk management, and internal control principles.
Familiarity with risk assessments, control design, gap analysis, and/or control testing.
Foundational knowledge of AI/ML concepts and lifecycles and associated risks such as bias, explainability, data quality, privacy, and security.
Understanding of data quality, lineage, ownership, protection, and access controls.
Exposure to ISO/IEC 42001, NIST AI RMF, COBIT, ISO 27001, DAMA-DMBOK, or Singapore AI governance guidance is advantageous.

Professional Skills

Strong analytical, problem-solving, and critical thinking skills.
Ability to translate governance and regulatory requirements into practical risk and control considerations.
Strong written and verbal communication and professional reporting skills.
Ability to engage effectively with client stakeholders and multidisciplinary teams.
Self-motivated, detail-oriented, and interested in emerging technologies and AI and Data Assurance.

Preferred Qualifications (Not Mandatory)

CISA, CRISC, CDMP, AIGP, ISO/IEC 42001, ISO 27001, or equivalent certifications.
Experience with AI and Data Governance policies, risk and control frameworks, or target operating models.
Exposure to ServiceNow, Archer, or OneTrust GRC platforms.
Experience in regulated industries, including financial services, telecommunications, or public sector.
Familiarity with AI assurance, model risk management, or responsible AI assessments.