AI Enablement Lead

About us

At Environment Bank, we’re working together to help restore natural habitats across England. With thousands of acres of new habitat creation already underway, 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.

From our habitat specialists to our sales and marketing teams, everyone at Environment Bank is a champion for our values, working towards our goal of reversing biodiversity loss.

Environment Bank is a market-leading organisation in a sector that’s experiencing rapid growth. We’ve already built a highly skilled team of experts and we’re actively looking to expand our team in the coming months.

We’re incredibly proud of all we achieved so far and we’re still growing. If you'd like to be part of a driven organisation that's making a real difference, find your next role with the team at Environment Bank.

About the role

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 so that every new adoption supports our mission to restore nature at scale
• 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, bringing the right people together to agree which are worth pursuing and giving teams ownership of the solutions
• 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, and work with colleagues to turn those opportunities into working, implemented solutions
• Enable colleagues to implement simple solutions themselves, and work with the Data, Systems & GIS team to scope, develop and build internal process automation tools and in take them into production
• Create, maintain and update documentation for tools, processes and training materials
• Build a network of AI champions and self-serve guidance so that day-to-day troubleshooting and technical queries relating to AI tools are handled within teams, stepping in on the harder cases
• Establish sensible guardrails and best practices for responsible AI use, balancing productivity gains with data security, quality control and our duty of care to the nature recovery outcomes we deliver

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, not just casual use

• Workflows automations and prototyping experience
• Experience facilitating cross-functional workshops and mapping business processes, with audiences from frontline teams to senior leaders
• Able to influence and align stakeholders without direct authority, including heads of department
• Strong problem-solving skills and the ability to translate a business need into a clear use case, priority and working solution
• Confident communicator, comfortable explaining technical concepts to non-technical colleagues and running training sessions for a variety of audiences
• 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, with an passion for using technology to support nature restoration

• 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, through training, facilitation, agile coaching, service design, learning and development or change management
• Experience setting up and connecting AI tools, e.g. building agentic workflows and/or configuring MCP servers
• Experience with other platforms in our stack (e.g. HubSpot, ArcGIS, Snowflake), and comfortable getting hands-on with unfamiliar environments.

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.

Many of us hold back unless we can tick every box. Not because we lack ability, but because we have been conditioned to treat job descriptions as pass or fail criteria rather than a guide.

A gentle reminder for anyone who needs it:

, .

If you can do the core of the role and you are willing to learn the rest, you are already in the right place to apply.

Benefits

As an organisation, we believe that work should be fulfilling, inspiring, and balanced, so we’re creating a space where our team can thrive, both personally and professionally - providing flexible working arrangements, mental wellbeing support, and more.

We offer...

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