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- Tasks: Lead AI training and capability building across teams to enhance AI fluency.
- Company: Join Systemiq, a certified B Corp focused on sustainability and system change.
- Benefits: Be part of a diverse team with a commitment to inclusion and impactful work.
- Other info: Opportunity to shape a culture of responsible AI use and drive real impact.
- Why this job: Empower teams to use AI effectively and safely in a fast-paced environment.
- Qualifications: Experience in digital transformation, change management, and excellent communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Systemiq is the system change company, working to accelerate the transition to a net‑zero, nature‑positive and more inclusive economy. As a certified B Corp, we partner with business, finance, policymakers and civil society to transform five interconnected systems: energy, nature and food, materials and circularity, sustainable finance, and urban transformation. We bring together strategy, policy, market design and capital mobilisation to deliver tangible results in the real economy. Founded in 2016, Systemiq has grown to a global team of more than 300 people across Brazil, France, Germany, Indonesia, Kenya, the Netherlands, the UK and the US, united by a singular focus on sustainability.
Location: London (preferred) or Amsterdam
Reports to: Chief Operating Officer (COO)
Role Overview: The AI Enablement Lead will drive Systemiq’s internal adoption of AI through training, capability building, tool deployment, and coordination across the organisation. This role focuses on:
- Building AI fluency and confidence across all teams
- Owning the internal roadmap for AI tools and use cases
- Supporting platforms in identifying and prioritising AI opportunities
- Ensuring AI becomes part of everyday work at Systemiq
This is not a technical AI development or commercial sales role. The purpose is to help Systemiq’s people use AI effectively, safely, and at scale.
Key Responsibilities:
- AI Enablement, Training & Capability Building: Lead an internal cross‑functional AI Champions programme, building a strong internal community. Design and deliver AI training for advisory and operations teams across all levels (associates, managers, directors/leadership). Develop playbooks, learning pathways, and use‑case guides. Shape a culture of responsible experimentation and everyday AI use. Partner with the Academy to embed AI capability into formal learning programmes.
- AI Roadmap & Tool Deployment: Own the internal AI tool roadmap in partnership with IT. Prioritise high‑impact use cases and guide pilots and scale implementation of use case adoption with new and existing AI tools. Gather requirements from teams, translate into IT specifications. Ensure tools meet standards for safety, privacy, and responsible use.
- Platform Support & Coordination: Work with platform leadership to identify AI opportunities. Help connect use cases, learnings and best practices across teams. Maintain visibility of AI activities and progress across the business. Provide light‑touch strategic input to support platform‑led AI mobilisation. Work closely with IT, Academy, Analytiq, and Knowledge teams. Support the COO with updates, reporting, and continuous improvement. Ensure governance, safe use, and consistency in AI adoption across Systemiq.
What This Role Is Not:
- Building technical AI solutions
- Selling AI offerings or leading BD
- Developing models, tools or platforms (owned by Analytiq)
Skills & Experience Core Requirements:
- Strong experience in capability building, digital adoption or change management
- 4–6+ years of relevant experience in AI enablement, digital transformation, change management, technology adoption, or related fields
- Excellent communicator and trainer; able to simplify complex concepts
- Strong understanding of modern AI tools (LLMs, agents, workflow tools)
- Experience partnering across functions (IT, L&D, analytics, business teams)
- Ability to create structure, prioritise, and drive delivery in a fast‑paced environment
- Degree or equivalent practical experience in a relevant field such as technology, digital transformation, analytics, sustainability, business, or related disciplines.
- Experience in consulting, sustainability, analytics or digital transformation
- Familiarity with responsible AI principles and AI governance
- Exposure to enterprise AI tools or workflows
Why this role matters:
- Teams know how to use AI safely and effectively
- Platforms can mobilise AI opportunities with confidence
- Systemiq’s internal Academy and IT department have strong partnership and leadership
- Systemiq builds a culture of high‑impact AI use
Diversity & Inclusion: At Systemiq, we absolutely believe diverse perspectives are essential to driving system change. We are committed to creating an inclusive workplace where people feel respected, supported and able to do their best work.
AI Enablement Manager employer: Systemiq
Contact Detail:
Systemiq Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enablement Manager
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at Systemiq. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills in action! If you’ve got experience with AI enablement or training, think about how you can demonstrate that in interviews. Bring examples of how you've made a difference in previous roles.
✨Tip Number 3
Prepare for the unexpected! Systemiq values innovation, so be ready to discuss how you’d approach challenges in AI adoption. Think outside the box and show us your creative problem-solving skills.
✨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, it shows you’re genuinely interested in being part of our mission.
We think you need these skills to ace AI Enablement Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Enablement Manager role. Highlight your experience in capability building and digital adoption, and show us how you can help Systemiq drive AI adoption across the organisation.
Showcase Your Communication Skills: As an excellent communicator, it's crucial to demonstrate your ability to simplify complex concepts. Use clear and concise language in your application to reflect this skill, as it’s key for training and engaging with various teams.
Highlight Relevant Experience: Don’t forget to emphasise your experience in AI enablement or change management. We want to see how your background aligns with our mission of building AI fluency and confidence across all teams at Systemiq.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Systemiq
✨Know Your AI Stuff
Make sure you brush up on your knowledge of modern AI tools and their applications. Be ready to discuss how these tools can be integrated into everyday work at Systemiq, and think about specific examples where you've successfully enabled teams to adopt new technologies.
✨Showcase Your Training Skills
Since this role involves a lot of training and capability building, prepare to share your experiences in designing and delivering training programmes. Think about how you can simplify complex concepts for different audiences, from associates to directors.
✨Demonstrate Cross-Functional Collaboration
Systemiq values teamwork across various functions. Be prepared to discuss how you've partnered with IT, L&D, or other departments in the past to drive digital transformation or change management initiatives. Highlight any successful projects that required collaboration.
✨Emphasise Responsible AI Use
Familiarity with responsible AI principles is crucial for this role. Be ready to talk about how you've ensured safe and ethical use of AI in previous roles. Discuss any frameworks or guidelines you've implemented to promote responsible experimentation and governance.