Responsible AI Compliance Controls Consultant - NRR 4224

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.

Educational Qualification:

• Bachelor’s degree or equivalent

You May Also Need:

• Prior experience or profile in the field of Responsible / Ethical AI, or closely related areas (advantageous)
• Legal experience / academic background

Job Summary:
The Compliance Controls Analyst will within the Quality Management and Controls function, specifically on vendor assessment. The team has been given a unique mandate to ensure Accenture acts as responsibly when we buy AI as we do when we build it. This ongoing capability has had to be built from scratch, and is a market first – providing AI assessment and assurance across 40k vendors globally. This role will report into Delivery leadership in the team responsible for executing assessment on our global vendor pool, establishing false negative testing, routine reporting and deploying innovative use of tools to ensure our team delivers on objectives. Working in a truly global team and with stakeholders across Accenture’s business you will gain experience in building and designing new capabilities with no blueprint, and experience a team culture of mutual support, success, embracing diversity in skills and thinking.

In Your Role You Will Be Expected To:

The work:

• Reporting directly into the L6 leading our Global Controls programme, and our Reporting lead;
• Design, stand up and maintain an approach to false negative test MMS inputs for AI
• Specifically identify and address instances of AI being mis-reported in MMS, and in collaboration with key stakeholders and others from various teams, support design and implementation of a range of interventions from education to enforcement drives to mitigate this

This role will support other controls-related work, as needed.

Preferred candidates will demonstrate some background in consulting or relevant industries, with especially desirable skillsets including:

• Experience in government/legislative development bodies, regulators, standards bodies, in designing and implementing operating models, risk management controls, governance structures and controls in any of these areas, or multilateral collaborative groups
• Background and experience in Accenture processes, particularly use of MMS and the NBM process
• Experience in corporate governance and risk management
• Experience with procurement and global vendor management
• Experience in more regulated industries such as FS or H&PS
• As a member of a corporate team focused on Responsible AI
• As an academic focused not just on the theory but also on the practical application of Responsible AI
• Experience developing comms for senior stakeholders

Essential to have some experience of work including the following skillsets:

• Business analysis, Data quality management
• Narrative development
• Research/data analysis and reporting
• Accenture business awareness
• Stakeholder management
• Compliance / change exercises
• Data management and analysis
• AI and GenAI tooling for efficiency
• Scripting (python)
• Power Automate, Power Apps
• Power BI

Additional Information:
This role sits within Accenture’s Global Responsible AI team, part of the Global Data & AI Practice. It involves opportunities to work on high impact, pioneering projects at the intersection of technology, ethics, and governance. Travel may be required, varying between 0–100% based on business needs and client engagements.

What We Are Looking For:
A strategic thinker with a passion for Responsible AI and ethical innovation. The ideal candidate combines regulatory awareness with consulting expertise, thrives in fast-paced, global environments, and can influence both clients and internal teams to drive responsible technology transformation.