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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 - 140000 £ per year.
Job Description
AI Engagement Lead or Manager (Marketing)
Location: London | Hybrid | Permanent
Up to £125 + B&B
Reporting to C-Suite in a Matrix structure with the central AI team, MarTech, Data, and Compliance.
THE ROLE:
- AI roadmap for marketing communications and engagement.
- Own key products: conversational assistants, content generation, and RAG search.
- Take each product from discovery to launch and scale.
- Build “governance-lite” controls: usage logging, prompt review, risk tiers, data rules.
- Align with enterprise AI policy, privacy, and regulatory requirements.
- Redesign content and campaign workflows to remove manual steps.
- Stand up an internal AI training programme and a Community of Practice.
- Track adoption and value with a simple KPI set (NPS, cycle time, cost-to-serve).
- Publish a monthly impact pack for marketing leadership.
- Run buy-partner-build analysis and keep vendor spend tight.
- Work day-to-day with MarTech, Data, Creative, and Compliance to ship MVPs fast.
THE CANDIDATE'S EXPERIENCE:
- End-to-end ownership of an AI platform or capability used by ~1,000+ users.
- Strong knowledge of LLMs, conversational design, RAG, and prompt practices.
- Proven change leadership: you have driven ≥50% adoption with training and comms.
- Governance mindset: you have designed guardrails that pass risk and legal review.
- Working grasp of MLOps/GenAIOps (CI/CD, model registry, data lineage, evaluation).
- Clear communicator: you can brief boards and coach non-technical teams.
- Comfortable in a matrix: you align marketing, data, tech, and compliance quickly.
Artificial Intelligence Consultant employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in AI, particularly in marketing communications. Understanding how conversational assistants and content generation work will give you an edge when discussing your ideas and experiences during interviews.
✨Tip Number 2
Network with professionals in the AI and marketing sectors. Attend industry events or webinars to connect with potential colleagues and learn about their experiences. This can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with change leadership and adoption strategies. Be ready to share specific examples of how you've driven user engagement and training initiatives in previous roles, as this is crucial for the position.
✨Tip Number 4
Brush up on your communication skills, especially in translating technical concepts for non-technical audiences. Being able to clearly articulate complex ideas will be essential when working with cross-functional teams and presenting to leadership.
We think you need these skills to ace Artificial Intelligence Consultant
Some tips for your application 🫡
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 where you have successfully implemented AI solutions or led training programmes. Highlight any measurable outcomes, such as user adoption rates or efficiency improvements.
Research the Company: Familiarise yourself with the company's AI initiatives and marketing strategies. This will help you tailor your application and demonstrate your understanding of their goals and challenges during the application process.
How to prepare for a job interview at Intelix.AI
✨Understand 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.
✨Showcase 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.
✨Communicate 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 to ensure everyone understands your vision.
✨Demonstrate 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.
