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- Tasks: Lead AI strategies and enablement programmes to transform workplace productivity.
- Company: Join Accenture, a global leader in professional services with a culture of innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for personal growth.
- Why this job: Make a real impact by driving AI transformation in leading organisations worldwide.
- Qualifications: Experience in AI/ML concepts and strong communication skills required.
- Other info: Dynamic role with mentorship opportunities and career advancement.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Salary: Competitive salary and package dependent on experience
Career Level: Manager or Associate Manager (based on experience)
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. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.
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 recognized worldwide not just for business performance but for inclusion and diversity too.
Accenture’s End User Experience group consists of leading professionals who combine business and industry knowledge with technology expertise, to deliver solutions for implementing and supporting an engaged and connected workplace. Our services revolve around AI, Cloud and SaaS, transitioning clients support, collaboration and productivity environments to a modern OpEx based model while keeping a focus on security and service-oriented architectures. Taking clients on this journey often requires significant cultural change and the implementation of new ways of working. We guide our clients through this journey, working with a broad range of business stakeholders to minimise disruptions and to ensure a successful outcome.
In our team you will learn:
- How to provide solutions to real world problems across a variety of industries.
- How to help transform leading organisations and communities around the world.
- How best to develop your skills and hone your talents within an innovative technology environment.
As a Workplace AI Enablement Manager, you will:
- Develop and deliver the organisation’s workplace AI strategy, ensuring alignment with business goals and technology roadmaps.
- Lead AI enablement programmes across Microsoft 365 Copilot, Google Workspace AI, ServiceNow AI, and other vendor platforms.
- Assess current workplace environments and identify opportunities for AI driven productivity, automation, and experience improvement.
- Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights.
- Drive adoption and change management, including training, communications, and user readiness activities.
- Establish governance frameworks for responsible AI usage, data protection, and compliance across workplace tools.
- Partner with vendors and internal teams to integrate AI capabilities into collaboration, endpoint, and productivity ecosystems.
- Build value cases, ROI models, and benefit tracking frameworks for AI initiatives.
- Lead workshops, discovery sessions, and executive briefings to shape AI vision and roadmap.
- Support RFI/RFP responses, including AI solutioning, technical positioning, and value articulation.
- Monitor emerging AI trends and continuously evolve the workplace AI strategy.
We are looking for experience in the following skills:
- Experience with Digital Employee Experience (DEX) platforms such as Nexthink, Lakeside, or ControlUp.
- Established experience and understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience.
- Strong knowledge and firsthand experience of deploying / implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.
- Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.
- Experience delivering AI focused change management and adoption programmes with MS Copilot, Google Duet, Clause Copilot.
- Strong analytical mindset with the ability to identify patterns, inefficiencies, and automation opportunities.
- Exceptional communication and presentation skills covering both technical and business concepts.
- Strong stakeholder management and communication skills.
- Experience with ITSM platforms such as ServiceNow, Jira Service Management, or BMC Remedy.
- Familiarity with current digital workplace trends, e.g. cloud journeys, productivity solutions and tools, employee experience and Generative AI.
- Wider complimentary skills such as AWS, Google, Azure, ServiceNow, BMC certification and SRE are desirable but not compulsory.
As a Manager there is an expectation that they must be able to:
- Ability to manage and mentor multiple ‘direct reports’ assigned to you. You should be able to illustrate an established track record of people leadership.
AI Skills
Accenture expects all of its people to utilise AI effectively in their day to day work. The following capabilities are desirable for all roles:
- Understanding of core AI concepts and how they apply within business and delivery contexts.
- Proficiency in AI powered workplace tools (such as Microsoft 365 Copilot) to create, analyse, and refine content, automate repetitive tasks, summarise information, and improve workflow efficiency.
- Awareness of Responsible AI principles and adherence to enterprise AI governance, standards, and approved usage guidelines.
- AI Training and/or Certifications, or a commitment to ongoing learning to maintain and grow AI proficiency.
AI Infrastructure Architecture Manager in London employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Architecture Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values, especially around inclusion and diversity, so you can show how you fit right in!
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills align with the role of AI Infrastructure Architecture Manager. Highlight your experience with AI tools and change management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Infrastructure Architecture Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Infrastructure Architecture Manager role. Highlight relevant experience and skills that align with the job description, especially around AI, cloud technologies, and change management.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention how you can contribute to our mission of transforming workplaces.
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just responsibilities. Use metrics where possible to demonstrate the impact of your work, especially in areas like AI implementation and productivity improvements.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Accenture
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts and tools relevant to the role. Familiarise yourself with Microsoft 365 Copilot, Google Workspace AI, and other platforms mentioned in the job description. Being able to discuss how these technologies can enhance workplace productivity will show that you're not just a candidate, but a potential asset.
✨Showcase Your Change Management Skills
Since the role involves driving adoption and change management, prepare examples from your past experiences where you've successfully led similar initiatives. Highlight your communication strategies and how you engaged stakeholders to ensure smooth transitions. This will demonstrate your capability to manage cultural changes effectively.
✨Prepare for Technical Questions
Expect some technical questions related to AI implementation and digital employee experience platforms. Brush up on your knowledge of tools like Nexthink or ServiceNow, and be ready to discuss how you've used AI/ML concepts in previous roles. This will help you stand out as someone who can hit the ground running.
✨Demonstrate Leadership Qualities
As a Manager, you'll need to showcase your leadership skills. Prepare to discuss your experience in mentoring and managing teams. Share specific examples of how you've developed your direct reports and fostered a collaborative environment. This will reassure them that you can lead their team effectively.