Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI initiatives in marketing, from product discovery to launch and scaling.
- Company: Join a forward-thinking company at the forefront of AI and marketing technology.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving innovation and making a real impact in marketing.
- Qualifications: Experience with AI platforms, strong communication skills, and a governance mindset required.
- Other info: Work closely with C-suite and cross-functional teams in a collaborative environment.
The predicted salary is between 90000 - 175000 Ā£ per year.
Microsoft Copilot Lead ā AI Productivity Lead
Location: London (Hybrid, 2ā3 days on site)
Engagement: Permanent
This role requires an experienced Microsoft Copilot Lead to own the design, deployment, and optimisation of enterpriseāwide AI productivity solutions across the digital workplace. You will be accountable for turning Copilot and AIāenabled tooling into secure, scalable, and adopted capabilities that deliver measurable productivity gains, while operating within regulated enterprise environments.
The ideal candidate will be proficient in: Azure AI (ML, Applied AI Services, Cognitive Services, AI Foundry, Responsible AI toolkit) ā Technical stack: Python, Java, C++, JavaScript, HTML, CSS, PHP, SQL (MySQL, Oracle), VSCode, Jupyter and experienced in API integration, deployment strategies, and cloud governance frameworks.
Key Responsibilities
Own the endātoāend lifecycle of Microsoft Copilot and AI productivity tooling.
Define and deliver a Copilot roadmap aligned to business, security, and governance priorities.
Lead enterprise rollout, adoption, and continuous improvement of AIāenabled workplace tools.
Provide technical leadership on Copilot Studio, custom agents, connectors, and workflow automation.
Embed AIādriven productivity and automation through low/noācode platforms.
Manage vendor relationships, licensing, and platform performance.
Ensure compliance with information protection, data governance, and regulatory controls.
Act as escalation point for Copilotārelated incidents, risks, and service issues.
Lead a small delivery team and external partners.
Required Experience
5+ years in enterprise digital workplace, platform, or product roles.
Handsāon experience delivering Microsoft 365 and Copilot solutions at scale.
Strong understanding of Copilot Studio, Power Platform, and GenAI use cases.
Experience operating in regulated or complex environments.
Proven stakeholder management across business and technology.
Confident owning roadmaps, budgets, and vendor relationships.
Core Technical Skills
Microsoft 365 (Teams, SharePoint, OneDrive, Exchange)
Copilot Studio and GenAI integration
Power Platform (Power Automate, Power Apps)
Microsoft Graph API and workflow integration
Information Protection, DLP, and governance controls
Seniority levelMidāSenior level
Employment typeFullātime
Job functionInformation Technology
#J-18808-Ljbffr
Artificial Intelligence Consultant employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Artificial Intelligence Consultant
āØTip Number 1
Network with professionals in the AI and marketing sectors. Attend industry events, webinars, or meetups to connect with people who are already working in roles similar to the one you're aiming for. This can provide you with insider knowledge and potentially lead to referrals.
āØTip Number 2
Familiarise yourself with the latest trends and technologies in AI, particularly those related to marketing communications. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and expertise in the field.
āØTip Number 3
Prepare to showcase your experience with AI platforms and your ability to drive adoption. Think of specific examples where you've successfully implemented AI solutions and how you managed change within teams. This will help you stand out as a candidate who can deliver results.
āØTip Number 4
Understand the company's current AI initiatives and challenges. Research StudySmarter's approach to AI in marketing and be ready to discuss how your skills align with their goals. Tailoring your conversation to their specific needs can make a strong impression.
We think you need these skills to ace Artificial Intelligence Consultant
Some tips for your application š«”
Tailor Your CV: Make sure your CV highlights relevant experience in AI platforms, conversational design, and change leadership. Use specific examples that demonstrate your end-to-end ownership of AI capabilities and your ability to drive adoption.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with the job description. Mention your experience with governance frameworks and your ability to communicate complex ideas clearly to non-technical teams.
Showcase Relevant Projects: Include details about specific projects you've worked on that relate to the key products mentioned in the job description, such as conversational assistants or content generation. Highlight your role in taking these projects from discovery to launch.
Highlight Your Collaborative Skills: Emphasise your experience working in a matrix structure and collaborating with various teams like MarTech, Data, and Compliance. Provide examples of how you have successfully aligned different departments to achieve common goals.
How to prepare for a job interview at Intelix.AI
āØUnderstand the AI Landscape
Familiarise yourself with the latest trends in AI, especially in marketing communications. Be prepared to discuss how you can leverage conversational assistants and content generation in your role.
āØShowcase Your Change Leadership Skills
Prepare examples of how you've successfully driven adoption of AI tools in previous roles. Highlight specific metrics, like achieving over 50% adoption, to demonstrate your impact.
āØCommunicate Clearly and Effectively
Practice explaining complex AI concepts in simple terms. You may need to brief non-technical teams or board members, so clarity is key. Use relatable examples to illustrate your points.
āØDemonstrate Governance Awareness
Be ready to discuss how you've implemented governance controls in past projects. Show that you understand the importance of compliance and risk management in AI initiatives.
