<p>Job Description</p> <p>Travel: may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.</p> <p>We Are:</p> <p>Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful and more accessible. With these new opportunities come increased risks. We work with leading organizations to ensure AI is designed, built and deployed in a manner that engenders trust and adheres to laws, regulations and ethical norms. Our Responsible AI strategy will enable us to embed responsibility into all of Accenture's data and AI activities. We're developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. We'll be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offer training and resources to our clients through the Responsible AI Academy. The risks of AI are real and well- known. Let's help our clients turn those risks into opportunities.</p> <p>You are:</p> <p>We are seeking experts who have a deep understanding of AI risk management, AI governance as well as 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. 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. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.</p> <p>The work:</p> <ul> <li> <p>Engaging with prospective clients to help sell Responsible AI projects.</p> </li><li> <p>Shaping and leading client projects for Responsible / Ethical AI with a focus on AI governance, risk management, policy, standards and regulatory advisory, operating model, governance structures and controls</p> </li><li> <p>Act as subject matter expert for Responsible AI within a data science / data transformation team</p> </li><li> <p>Supporting client sales conversations and proposals</p> </li><li> <p>Delivering client projects and managing projects related to Responsible AI</p> </li><li> <p>Communicating and providing guidance to senior Accenture leadership and client teams</p> </li><li> <p>Assessing, understanding and applying the latest developments in data and AI policy and standards</p> </li><li> <p>Presenting and positioning Accenture's point of view amongst clients and other key stakeholders</p> </li></ul> <p>Qualification</p> <p>Here's what you need:</p> <p>Minimum of 5 years' experience in management consulting. Consulting experience should include:</p> <ul> <li> <p>Experience in designing and implementing operating models and governance structures and controls in any area related to AI governance</p> </li><li> <p>As a member of a corporate team focused on Responsible AI</p> </li><li> <p>As an academic focused not just on the theory but also on the practical application of Responsible AI</p> </li><li> <p>Work experience using data science, machine learning, and business analytics to solve business problems</p> </li></ul> <p>Master's degree or equivalent (minimum 12 years) work experience.</p> <p>Priority skills/knowledge:</p> <ul> <li> <p>Responsible AI</p> </li><li> <p>Data & AI regulations, compliance, and standards knowledge</p> </li><li> <p>Generative AI Data Ethics</p> </li><li> <p>Stakeholder Management</p> </li><li> <p>AI Risk assessment</p> </li><li> <p>Project management (if manager or above)</p> </li><li> <p>Consulting skills designing and implementing operating models, governance structures and controls</p> </li></ul> <p>Bonus points if you have:</p> <ul> <li> <p>Published academic papers, white papers, or some form of thought leadership in the field of Responsible / Ethical AI, or closely related areas (advantageous)</p> </li><li> <p>Ability to lead project workstreams to completion</p> </li><li> <p>Ability to manage resources in a matrix organization</p> </li></ul> <p>Locations</p>