出海雷达

人工智能赋能负责人

AI Enablement Lead

AI限定地区(需当地身份)日间重叠仅 1 小时,需熬夜配合
公司Environment Bank
薪资未公开
工作地点United Kingdom
地域资格限定地区(需当地身份)
时区要求日间重叠仅 1 小时,需熬夜配合
用工类型permanent
发布时间17 天前
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 United Kingdom 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠仅 1 小时,需熬夜配合。

**关于我们**

在Environment Bank,我们共同努力,帮助恢复英格兰的自然栖息地。目前已有数千英亩的新栖息地建设正在进行中,我们的项目正在实现生物多样性增长,并帮助关键生态系统恢复和繁荣。

我们多元化的团队包括生态学家、土地管理者、栖息地专家、地理空间分析师、规划顾问、客户经理、数字创意人员、法律专家等。

从我们的栖息地专家到销售和市场团队,Environment Bank的每个人都是一名价值观的倡导者,致力于实现我们逆转生物多样性丧失的目标。

Environment Bank是该领域领先的组织,该行业正处于快速增长中。我们已经建立了一支高技能的专家团队,未来几个月我们正积极扩大团队。

我们非常自豪到目前为止所取得的成就,我们仍在不断成长。如果您希望加入一个有动力的组织,真正带来改变,请在Environment Bank团队中找到您的下一个职位。

**职位简介**

在Environment Bank,我们采用人工智能、机器学习和自动化技术,以增强我们在大规模恢复自然方面的能力,并赋能员工更高效、更有洞察力地工作,始终以安全、可持续和负责任的方式进行。

AI赋能负责人将推动AI工具和平台在Environment Bank中的实际价值。您将与公司各同事合作,了解他们的流程和工作流,并识别AI以及替代形式的自动化如何真正提高效率,并协作将这些机会转化为可行的解决方案。该职位的职责是召集合适的人共同确定哪些机会值得追求,并让团队拥有解决方案的自主权,使AI能力在整个业务中增长,而不是仅限于某一个人。这包括培训员工负责任、有效地使用AI工具,原型化消除重复工作的自动化,开发定制的内部AI技能和工具,始终服务于我们大规模恢复自然的核心使命。

在我们完全远程的Data, Systems & GIS团队中,您将成为公司内AI知识的权威,领导AI知识分享和AI倡导者网络,保持对平台和功能的最新了解,同时与分布式团队无缝协作。该职位以远程办公为主。

查看英文原文

**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

- 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:_

_𝗬𝗼𝘂 𝗱𝗼 𝗻𝗼𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗺𝗲𝗲𝘁 𝗲𝘃𝗲𝗿𝘆 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁 𝘁𝗼 𝗯𝗲 𝗰𝗮𝗽𝗮𝗯𝗹𝗲, 𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝗲 𝗼𝗿 𝗿𝗲𝗮𝗱𝘆._

_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._

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

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