Must Have Skills:
- Data & AI regulations, compliance, and standards knowledge
- Responsible AI
- Controls and/or Internal Audit knowledge or experience
- Generative AI risk, controls, and mitigations
- Senior Stakeholder Management
- Risk assessment
- Project management office
- Consulting skills designing and implementing operating models, governance structures and controls
Experience (Proven Experience):
- Minimum of 5+ years experience in government/legislative development bodies, regulators, standards bodies
- Background and experience in Accenture processes, particularly use of MMS and the NBM process
- Essential to have some experience of work including the following skillsets: Business analysis, AI and GenAI tooling for efficiency, Compliance/ change exercises, Scripting (python), Dashboarding etc.
Key Skills Required
- Internal Controls Experience: The most important requirement is strong experience in internal controls, including designing, implementing, and managing controls programs. Experience in internal audit or corporate compliance is highly valued.
- Stakeholder Management: Ability to work with senior leadership and manage relationships with key stakeholders is important.
- ISO Experience: Having some experience or knowledge of ISO certification, standards or management system controls, would be a major benefit in this role.
- Relevant Backgrounds: Candidates may come from audit, compliance, ISO certification/governance, information security, or data privacy backgrounds, as there is overlap with the required controls experience. A legal background is not mandatory but can be considered.
- AI Literacy (Nice to Have): Some knowledge of AI, data, or responsible AI is a plus, but deep technical expertise in AI or generative AI tooling is not required.
- Business Analysis (Nice to Have): Business analysis experience would likely be helpful in this role, but is not a core requirement.
Regulations and Standards (Nice to Have): Knowledge of data and AI regulations, compliance, and standards is considered a bonus, not essential.
Required Qualification :
- Internal Controls/Audit Experience: The most important qualification is strong experience in internal controls or internal audit, including designing, implementing, and managing controls programs.
- Corporate Compliance/Information Security: Experience in corporate compliance or information security controls is also relevant due to overlap with the role's responsibilities.
- AI/Responsible AI Knowledge (Nice to Have): Knowledge of AI, responsible AI, or data privacy is considered a bonus but not mandatory. Basic AI literacy or completion of related training is sufficient; deep technical AI or GenAI skills are not required.
- Legal Background (Optional): A legal background is not mandatory but may be considered if available.
- Stakeholder Management: Experience working with senior leadership and managing stakeholders is important.
Promotion-Ready Candidates: For internal applicants, strong CL10 candidates who are ready for promotion to CL9 will be considered.
Roles And Responsibilities Of The Candidates
- The primary responsibility is to support the Responsible AI program, focusing on internal controls, some related to ISO-42001, rather than typical AI technical roles.
- Candidates should have strong experience in internal controls, internal audit, or corporate compliance, including designing, implementing, and managing controls programs.
- Knowledge of data privacy, information security controls, and overlap with AI controls is considered valuable, but not mandatory.
- Experience with senior stakeholder management is important.
- Familiarity with AI concepts and literacy is a plus, but deep technical expertise in generative AI or scripting is not required.
The role does not require travel and can be virtual.
