AI Governance Expert

Responsible AI Governance Expert at Accenture UK & Ireland

• Job Title: Responsible AI Governance Expert
• Location: London
• Salary: Competitive Salary + Package (dependent on experience)
• Career Level: Manager
• Travel: May be required for this role. The amount of travel will vary depending on business need and client requirements.

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.

Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture:
We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

We Are:
AI is becoming more pervasive, more powerful, and more accessible, and Accenture is the partner of choice for the world’s leading public and private sector organisations looking to realise the benefits AI can bring. We also recognise that such a powerful technology can create serious risks and issues, and our clients turn to us for answers on how to scale AI responsibly.

We work with our clients and leading developers of advanced AI to ensure AI is designed, built and deployed in a manner that engenders trust, minimises risk and adheres to laws, regulations and ethical norms.

You are:
We are seeking experts who have a deep understanding of policy, standards and regulation of AI, and who can translate this into helping our clients establish their principles, policies, operating model, governance structures and controls for Responsible AI, and how to consider embedding these controls into the technical development and deployment lifecycle. The ideal candidate will enjoy the breadth and pace of working with clients from different sectors and will also have the capability to step back and help Accenture shape and influence the development of AI standards and policies.

• Shaping and leading client projects for Responsible / Ethical AI with a focus on policy, standards and regulatory advisory, operating model, governance structures and controls
• Act as subject matter expert for Responsible AI within an AI / data science / data transformation team
• Supporting client sales conversations and proposals
• Delivering client projects and managing projects related to Responsible AI
• Communicating and providing guidance to senior Accenture leadership and client teams
• Assessing the latest developments in data and AI policy and standards
• Creating and maintaining an overview of the key developments in AI regulation
• Engaging with key stakeholders within the policy and regulatory space
• Presenting and positioning Accenture’s point of view amongst clients and other key stakeholders

Minimum of 2-4 years’ experience in management consulting or related field.

• Leading projects to identify improvements in processes, workflows, operating models, technology deployments, and significant stakeholder management and business change/business transformation experience
• Managing a team in the delivery of a project including managing client stakeholders or team members outside of your own core department/division

Experience should include at least one of the following:

• 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
• As a member of a corporate team focused on Responsible AI and governance within the enterprise
• As an academic focused not just on the theory but also on the practical application of Responsible AI
• Exposure to AI and data science strategy, development, and deployment, testing and…