At a Glance
- Tasks: Lead projects on Responsible AI, shaping policies and governance structures.
- Company: Join Accenture, a global leader in professional services and technology.
- Benefits: Enjoy 30 days vacation, private medical insurance, and extra leave for charity work.
- Why this job: Make a real impact in the ethical use of AI while working with top clients.
- Qualifications: 2-4 years in consulting, with expertise in AI policy and governance.
- Other info: Flexible work environment with opportunities for career growth and development.
The predicted salary is between 36000 - 60000 £ per year.
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.
About Accenture: 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 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 organizations looking to realize the benefits AI can bring. We also recognize 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.
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 Work:
- 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.
Qualification:
- 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 assurance, business analytics to solve business problems.
Priority skills/knowledge:
- Data & AI regulations, compliance, and standards knowledge.
- Responsible AI and AI governance and management.
- Generative AI risk, controls, and mitigations.
- Agentic AI deployment models and governance considerations.
- Stakeholder Management.
- Risk assessment.
- Project management.
- Workforce transformation / cultural change experience.
- Consulting skills designing and implementing operating models, governance structures and controls.
Bonus Points if you have:
- Published academic papers, white papers, or some form of thought leadership in the field of Responsible / Ethical AI, or closely related areas (advantageous).
- Legal experience (if the Req POC is needing an RAI Legal/Compliance SME).
- Ability to lead project workstreams to completion.
- Ability to manage resources in a matrix organization.
What’s in it for you: At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.
Responsible AI Governance Expert employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Responsible AI Governance Expert
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and governance space. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that dream job!
✨Tip Number 2
Show off your expertise! Create a personal blog or LinkedIn posts discussing trends in Responsible AI. This not only showcases your knowledge but also positions you as a thought leader in the field.
✨Tip Number 3
Prepare for interviews by brushing up on the latest AI regulations and compliance standards. Be ready to discuss how you've tackled similar challenges in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Responsible AI Governance Expert
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Responsible AI Governance Expert role. Highlight your relevant experience in AI policy, governance structures, and stakeholder management to show us you’re the perfect fit!
Showcase Your Expertise: Don’t hold back on sharing your knowledge! If you've published papers or have experience in AI regulations, make it known. We love seeing candidates who can demonstrate their thought leadership in the field.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the process!
How to prepare for a job interview at WeAreTechWomen
✨Know Your AI Governance Stuff
Make sure you brush up on the latest trends and regulations in AI governance. Familiarise yourself with key policies and standards that are shaping the industry, as this will show your depth of knowledge and commitment to responsible AI.
✨Showcase Your Project Management Skills
Be ready to discuss your experience in managing projects, especially those related to AI governance. Prepare specific examples where you've led teams or improved processes, as this will demonstrate your ability to handle the responsibilities of the role.
✨Engage with Stakeholders
Think about how you've successfully engaged with various stakeholders in past roles. Be prepared to share stories that highlight your communication skills and ability to navigate complex relationships, which is crucial for this position.
✨Prepare Thought Leadership Insights
If you have any published work or insights on Responsible AI, be sure to mention them. This not only showcases your expertise but also positions you as a thought leader in the field, which can set you apart from other candidates.