AI Enablement Lead

At Environment Bank, we’re working together to help restore natural habitats across England. Our projects are delivering biodiversity gains and helping vital ecosystems to recover and flourish. Our diverse team includes ecologists, land managers, habitat specialists, geospatial analysts, planning advisors, account managers, digital creatives, legal experts, and more. Everyone at Environment Bank is a champion for our values, working towards our goal of reversing biodiversity loss.

At Environment Bank, we adopt AI, machine learning and automation to enhance our ability to restore nature at scale and to empower our people to work more efficiently and insightfully, always in a secure, sustainable, and responsible manner. The AI Enablement Lead will drive real, practical value from AI tools and platforms across Environment Bank. You'll work with colleagues around the business to understand their process and workflows, and identify where AI, and alternative forms of automation, can genuinely improve efficiency, and collaboratively turn those opportunities into working solutions.

The function of the role is to bring the right people together to agree which opportunities are worth pursuing, and giving teams ownership of the solutions, so AI capability grows across the business rather than sitting with one person. This includes training people to use AI tools responsibly, effectively and confidently, prototyping automations that eliminate repetitive work, and developing bespoke internal AI skills and tools, always in service of our core mission to restore nature at scale.

Based in our fully remote Data, Systems & GIS team, you'll be the go-to person for AI knowledge across the business, lead AI knowledge-sharing and a network of AI champions, stay current with platforms and capabilities, all while collaborating seamlessly across a distributed team. The role is remote-first, with travel to run workshops and work with teams in person.

Responsibilities

• Champion the responsible use of AI across the business, staying current with relevant platforms, tools and capabilities.
• Develop and deliver training, guidance and documentation to help colleagues use AI tools effectively and efficiently in their roles.
• Lead structured discovery with teams to map how work is done and identify opportunities across the business where process automation and/or AI-powered tools could improve efficiency or reduce repetitive work.
• Maintain a prioritised pipeline of AI and automation opportunities, and report progress and value delivered to leadership.
• Collaboratively prototype and test new tools and approaches, assessing their suitability for development.
• Enable colleagues to implement simple solutions themselves, and work with the Data, Systems & GIS team to scope, develop and build internal process automation tools.
• Create, maintain and update documentation for tools, processes and training materials.
• Build a network of AI champions and self-serve guidance for day-to-day troubleshooting and technical queries relating to AI tools.
• Establish sensible guardrails and best practices for responsible AI use.

Requirements

• Desire to work at Environment Bank and be part of a team supporting colleagues working in nature recovery.
• Practical experience using LLM platforms (e.g. Claude, ChatGPT, Copilot) for real work tasks.
• Workflows automations and prototyping experience.
• Experience facilitating cross-functional workshops and mapping business processes.
• Able to influence and align stakeholders without direct authority.
• Strong problem-solving skills and the ability to translate a business need into a clear use case.
• Confident communicator, comfortable explaining technical concepts to non-technical colleagues.
• Ability to work collaboratively and independently as part of a fully remote team.
• Self-starter with a curious mindset and a genuine enthusiasm for the environment, responsible AI and emerging technologies.

Desirable

• Experience within the environmental or ecology sector.
• Experience working with others to build and deploy standalone tools or apps.
• Ability to manage multiple tasks and projects in a fast-paced environment.
• A background in helping people adopt new ways of working.
• Experience setting up and connecting AI tools.
• Experience with other platforms in our stack (e.g. HubSpot, ArcGIS, Snowflake).

We recognise that women are less likely than men to apply for a role if they do not have experience in all the areas mentioned. The list above is indicative; we would still welcome your application even if you do not have experience in all the listed areas, but think that you could do the job.

Benefits

• Performance-based annual bonus up to 10% of salary.
• Pension scheme with employer-matched contributions at 6% of salary.
• 30 days of annual leave, plus paid bank holidays, birthday, and wellbeing day.
• Option to purchase 5 additional days of annual leave after probation.
• Hybrid flexible working options.
• Regional and departmental team co-working days.
• Expenses-paid whole company meet twice a year.
• Team fundraising and charity events.
• Ongoing career development with training and mentoring.
• Medical cash back scheme to cover everyday healthcare costs.
• Employee assistance mental wellbeing support.
• Enhanced sickness pay allowance.