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- Tasks: Lead exciting automation projects and drive efficiency in a dynamic environment.
- Company: Reputable organisation focused on innovative AI solutions.
- Benefits: Remote work with occasional London office visits and competitive salary.
- Why this job: Make a real impact by leading cutting-edge automation initiatives.
- Qualifications: Experience in automation projects and strong stakeholder management skills.
- Other info: Join a forward-thinking team and foster a high-performance culture.
The predicted salary is between 60000 - 80000 £ per year.
Location: Remote (with once every 2-weeks visit to London Office)
Duration: 1 year UMBRELLA only
Our client, a reputable organisation, is hiring for a talented AI Automation Delivery Lead to oversee the end-to-end delivery of multiple automation initiatives. This is an exciting opportunity to lead innovative projects that drive efficiency and strategic value within a dynamic environment.
What you'll be doing:
- Lead delivery of automation workstreams, ensuring objectives, timelines, and quality standards are met.
- Manage sprint planning, backlog, and delivery ceremonies to ensure predictable, high-quality outputs.
- Establish and track delivery metrics to demonstrate progress and value to stakeholders.
- Proactively identify and mitigate delivery risks, dependencies, and blockers.
- Provide strategic guidance on AI and automation, including workflow automation, machine learning, and optimisation techniques.
- Collaborate closely with senior client sponsors and stakeholders, maintaining transparency and trust.
- Lead and mentor a team of technical and business analysis resources, fostering a high-performance, inclusive culture.
- Identify opportunities for process redesign and automation to improve efficiency and effectiveness.
What you'll bring:
- Proven experience leading automation projects within complex environments.
- Strong understanding of intelligent automation, AI techniques, and enterprise architecture considerations.
- Excellent stakeholder management skills, with the ability to communicate effectively at senior levels.
- Leadership skills to coach and develop team members and promote agile ways of working.
- Ability to proactively manage risks and dependencies, ensuring smooth delivery.
- Must have a minimum of 5 years of unbroken UK residency.
Required skills:
- End-to-end automation delivery experience
- Agile delivery methodologies
- Stakeholder engagement at senior levels
- Knowledge of AI, machine learning, and process automation
Preferred skills:
- Experience working within government or regulated environments
- Familiarity with regulatory constraints and responsible AI practices
Education & Certifications:
- Relevant professional qualifications in project management, automation, or AI are advantageous
This is a fantastic chance to make a real impact in a strategic role, working on cutting-edge automation initiatives. If you're passionate about leading innovative projects and driving digital transformation, we'd love to hear from you!
Apply now to join a forward-thinking team delivering meaningful change.
AI Automation Delivery Lead in London employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Automation Delivery Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI automation. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies of past projects that highlight your success in leading automation initiatives. This will give potential employers a tangible sense of what you can bring to the table.
✨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 AI Automation Delivery Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Automation Delivery Lead role. Highlight your end-to-end automation delivery experience and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and automation, and how your leadership skills can drive our initiatives forward. Keep it engaging and personal – we love a bit of personality!
Showcase Your Stakeholder Management Skills: In your application, emphasise your experience in managing stakeholders at senior levels. We’re looking for someone who can maintain transparency and trust, so share examples of how you've successfully engaged with clients or sponsors in the past.
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. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Experis
✨Know Your Automation Inside Out
Make sure you brush up on your knowledge of AI and automation techniques. Be ready to discuss specific projects you've led, focusing on the challenges you faced and how you overcame them. This will show your depth of experience and understanding of the field.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your ability to engage with senior stakeholders. Think about times when you successfully communicated complex ideas or managed expectations. This is crucial for the role, so make it a key part of your discussion.
✨Demonstrate Agile Methodologies
Familiarise yourself with agile delivery methodologies and be prepared to discuss how you've applied them in past projects. Share specific instances where you managed sprint planning or backlog effectively, as this will resonate well with the interviewers.
✨Be Ready to Discuss Risk Management
Think about how you've identified and mitigated risks in previous roles. Prepare to share strategies you've used to handle dependencies and blockers, as this will demonstrate your proactive approach to ensuring smooth delivery.