At a Glance
- Tasks: Lead AI solutions implementation and collaborate with clients to enhance workflows.
- Company: Join Journey, a dynamic studio of designers and tech enthusiasts.
- Benefits: Competitive salary, flexible hybrid working, and a supportive team environment.
- Other info: Opportunity for career growth in a collaborative culture focused on digital transformation.
- Why this job: Make a real impact in AI solutions while working with innovative technologies.
- Qualifications: 3-5 years in business analysis or solutions consulting, with strong communication skills.
The predicted salary is between 50000 - 50000 £ per year.
Requirements
- We have hands‑on experience configuring Microsoft Copilot agents and working within the Microsoft 365 ecosystem, including Share Point, Teams, and Copilot Studio, or equivalent experience in comparable enterprise AI platforms that can transfer to the Copilot environment.
- We bring 3–5 years experience in a role blending business analysis, requirements definition, implementation, digital transformation consulting, solutions consulting, implementation management, or a senior BA or solution architecture role with technical teams.
- We can lead discovery workshops and translate complex, multi-stakeholder business problems into structured, actionable briefs.
- We have strong process mapping skills and can design and document future‑state workflows that are clear, logical, and implementable.
- We have experience working within enterprise environments, including navigating organisational complexity, managing stakeholder relationships across levels and functions, and working alongside internal technology teams.
- We have excellent written and verbal communication skills, including the ability to produce clear documentation, user stories, and build specifications.
- We understand conversational AI design principles, including how to structure agent instructions, configure knowledge sources, and develop prompts that produce reliable, high‑quality outputs.
- We have familiarity with prompt engineering best practices.
- We understand authentication and security concepts relevant to enterprise AI environments, such as OAuth, Microsoft Entra ID, and role‑based access controls.
- We have strong troubleshooting and analytical skills, and can diagnose agent behaviour issues, interpret unexpected outputs, and iterate systematically toward reliable performance.
- We understand governance and compliance considerations in enterprise AI deployments, including data handling, access controls, and operating within regulated environments.
- Nice to have: experience with knowledge management, information architecture, or content governance.
- Nice to have: experience with other AI productivity tooling alongside Microsoft Copilot.
- Nice to have: familiarity with no‑code/low‑code automation tools such as Power Automate, Zapier, or Make.
- Nice to have: exposure to pharmaceutical, life sciences, or similarly regulated enterprise environments.
- Nice to have: experience working in an agency or consultancy context, managing relationships with external clients.
Responsibilities
- We lead structured discovery sessions and requirements‑gathering workshops with pharmaceutical client stakeholders across functions and markets.
- We map current‑state processes and design future‑state AI‑assisted workflows to identify where Microsoft Copilot agents can reduce manual effort, improve consistency, and generate time savings.
- We produce business requirements documentation, process flow diagrams, and user stories with acceptance criteria that guide configuration decisions.
- We work alongside our Delivery Manager, who owns logistics, coordination, and project management, while we focus on domain expertise and build delivery.
- We configure and implement Microsoft Copilot agents and AI‑powered modules within the clients Microsoft 365 environment.
- We work within Share Point, Teams, and the broader Microsoft 365 stack to deploy and integrate Copilot‑based solutions to agreed specifications.
- We develop prompts, knowledge sources, and agent instructions that produce reliable, high‑quality outputs aligned to the clients business context.
- We collaborate with the clients internal technology teams on environment configuration and integration touchpoints.
- We maintain thorough documentation of build decisions, configuration choices, and test outcomes to support handover and continuity.
- We configure security settings, permissions, and governance policies within the Copilot and Microsoft 365 environment.
- We own internal testing of all configured modules, validating agent behaviour against acceptance criteria and iterating based on findings.
- We coordinate and facilitate pilot programmes with client user groups, manage feedback loops, and lead post‑pilot iteration cycles.
- We monitor and assess agent performance and adoption post‑deployment, proactively surfacing improvement opportunities.
- We build trusted relationships with client stakeholders at multiple levels through workshops and check‑ins.
- We support user adoption through training sessions, documentation, and hands‑on guidance.
- We communicate clearly on progress, risks, and decisions within the project governance and reporting structure.
- We participate in steering group sessions and contribute to project status reporting where required.
- Technologies
- AI
- Copilot
- Flow
- Support
- Microsoft 365
- OAuth
- Security
- Share Point
- Zapier
- Office 365
- More
We are Journey, a studio of multi‑disciplinary designers, strategists, and tech‑enthusiasts based in London and Auckland.
Since 2001, we have been helping clients solve problems by combining the precision of technology with the art of human connection, with a focus on elevating customer experience through digital touchpoints, customer experiences, and AI solutions.
We value direct communication, honest feedback, and a supportive, people‑oriented culture, and we are looking for someone to join us in a senior, full‑time fixed‑term role based in Old Street, Central London, with flexible hybrid working of up to two days from home.
We offer a competitive salary, a highly supportive team environment, support from our head office in New Zealand, and the opportunity to be part of our growth journey in EMEA.
- last updated 28 week of 2026
- #J-18808-Ljbffr
AI Solutions and Implementation Lead in London employer: Journey Digital
At Journey, we pride ourselves on being an excellent employer, offering a dynamic and supportive work culture that fosters innovation and collaboration. Located in the vibrant area of Old Street, Central London, our team enjoys flexible hybrid working arrangements, competitive salaries, and ample opportunities for professional growth as we expand our presence in EMEA. Join us to be part of a passionate group dedicated to transforming customer experiences through cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions and Implementation Lead in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Journey Digital!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Solutions and Implementation Lead at Journey Digital.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Journey Digital.
✨Apply Directly through Our Website
When you find a suitable opening like AI Solutions and Implementation Lead at Journey Digital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Solutions and Implementation Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Journey Digital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Journey Digital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Journey Digital
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Journey Digital!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.