At a Glance
- Tasks: Lead AI adoption and transform how we work with Microsoft 365 Copilot.
- Company: Ingenia Global Partners, a collective of high-performing talent businesses.
- Benefits: Opportunity to shape AI strategy, competitive salary, and career growth.
- Other info: Dynamic role with hands-on transformation and collaboration with leaders.
- Why this job: Make a real impact by implementing cutting-edge AI solutions across diverse businesses.
- Qualifications: Experience in AI, project delivery, and strong communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
Help us use AI to implement better ways of working.
Ingenia Global Partners brings together high-performing specialist talent businesses in one global collective.
We give entrepreneurial leaders access to the technology, expertise, infrastructure and shared knowledge they need to grow smarter, scale faster and build long-term value.
Our values are strategic, empowering, unified, innovative and relentlessly ambitious.
We are looking for a Microsoft Copilot & AI Adoption Lead to lead the strategy, roadmap, governance and practical delivery of Microsoft 365 Copilot across Ingenia Global Partners and our portfolio partner businesses.
This is a hands-on transformation role.
You will work with founders, senior leaders, employees, technology partners and relevant legal, data-protection and operational stakeholders to identify valuable opportunities, develop agents, deliver pilots and controlled rollouts, and establish the governance required for secure and responsible adoption.
You will help our businesses redesign how work is completed, build confidence in AI and turn Copilot into measurable improvements in productivity, quality, collaboration and business performance.
A key outcome will be the creation of agents and repeatable implementation frameworks that allow Ingenia and its portfolio partners to continue developing their Copilot and wider AI capability.
The opportunity
Our portfolio businesses operate across different specialist recruitment markets, geographies and stages of growth.
Each has its own priorities, processes, systems and level of AI readiness.
You will create a clear group-wide approach to Copilot agent implementation and adoption while ensuring implementation still reflects the needs of each business.
You will assess current capability, define the roadmap and prioritise the functions and workflows where Copilot can create the greatest value.
You will then take selected use cases from discovery and business case through to development, pilot, rollout, training, measurement and wider adoption.
The role will cover Microsoft 365 applications including Outlook, Teams, Word, Excel and Power Point, with opportunities to explore Copilot Studio, agents, automation and the wider Microsoft ecosystem.
Key responsibilities
- Strategy, roadmap and readiness
- Develop group-wide agents and the Copilot adoption strategy in line with business priorities
- Assess technology readiness, user confidence, permissions, data practices and AI maturity
- Recommend which businesses, teams and user groups should be prioritised
- Define programme objectives, owners, timelines, dependencies and governance checkpoints
- Maintain a practical roadmap from initial pilots through to wider adoption
- Use-case development and delivery
- Work with business leaders and employees to identify practical opportunities for Copilot and automation
- Assess use cases according to value, effort, user readiness, data sensitivity, risk and scalability
- Lead development, pilots, proofs of value and controlled rollouts
- Ensure each use case has a clear owner, defined users, success measures and appropriate human oversight.
- Review results and recommend whether initiatives should be stopped, improved or scaled.
- Governance, security and responsible AI
- Develop a practical Copilot and generative-AI governance framework
- Create policies covering approved tools, confidentiality, appropriate use, human review and accountability
- Maintain an inventory of AI tools, use cases, owners, users, data types, vendors and risk classifications
- Work with legal, data-protection, security and operational stakeholders to assess risk
- Establish guidance for checking and validating AI-generated outputs
- Protect candidate, client, employee and commercially sensitive information
- Technical enablement and suppliers
- Support effective use of Copilot, and the development of agents in Microsoft 365
- Work with technical specialists to ensure permissions, data access and Microsoft 365 environments are appropriately configured
- Translate business needs into functional requirements for technology partners
- Identify opportunities involving Copilot Studio, agents, Power Automate and related tools
- Support user testing and controlled release
- Provide recommendations on licensing, suppliers, costs and implementation
- Monitor licence usage, supplier delivery and potential duplication of tools
- Training, adoption and change
- Design and deliver training for employees at different levels of experience
- Run leadership sessions, workshops, demonstrations, clinics and one-to-one coaching
- Create prompt libraries, playbooks, guides, templates, videos and onboarding resources
- Build confidence among employees who may be unfamiliar with or cautious about AI
- Establish and coach a network of Copilot champions across the portfolio
- Develop stakeholder, communication and change plans
- Help teams redesign workflows rather than simply adding AI to processes
- Share success stories, practical examples and lessons across the group
- Measurement and handover
- Define adoption, productivity, quality and value measures
- Establish baseline measures where possible
- Track usage, training participation, time saved, process improvement, quality, cost and employee experience
- Report to group leadership on roadmap progress, risks, value, and licence usage
- Create reusable implementation templates, playbooks, policies and training materials
- Deliver a structured handover, so Ingenia is not dependent on external support after the engagement
- What we are looking for
You will combine practical AI knowledge with strong business analysis, project delivery, change management and communication skills.
You must be able to develop agents and understand how Microsoft 365 Copilot, generative AI and automation can be applied safely and effectively in a business environment.
You are likely to have experience in several of the following
- Microsoft 365 Copilot implementation or adoption
- Building agents in Copilot
- AI adoption, automation, digital transformation or workplace technology
- Leading programmes from discovery and pilot through to rollout
- Business analysis and process improvement
- Change management and employee adoption
- Developing roadmaps, business cases and implementation plans
- Establishing governance, responsible-AI guidance or operating models
- Managing projects, timelines, risks, dependencies and stakeholder reporting
Experience in recruitment, talent solutions, professional services or a portfolio business environment, although not necessary, would be advantageous.
Technical and business capability
You should have
- Strong practical knowledge of Microsoft 365 Copilot
- An understanding of Copilot across Teams, Outlook, Word, Excel and Power Point
- Knowledge of prompt design, human review and generative-AI limitations
- The ability to build AI agents, set workflow automation and understand the Microsoft Power Platform
- The ability to translate business needs into functional solutions
- Strong business-analysis and process-improvement skills
- Commercial judgement and a clear focus on value and return
- Strong project and stakeholder-management capability
Knowledge of APIs, integrations, cloud services, low-code development or retrieval-augmented generation would be beneficial but is not essential.
What success could look like
During the engagement, success may include
- Completion of group AI agents
- Agreement of the Copilot strategy, governance principles and roadmap
- Delivery of selected pilots and proof-of-value initiatives
- Training of priority users and business leaders
- Establishment of Copilot champions
- Evidence of productivity, quality and process improvements
- Expansion of successful use cases across additional businesses
- Creation of a repeatable portfolio implementation model
- Clear ongoing ownership, documentation and handover arrangements
Why join Ingenia Global Partners?
This is an opportunity to lead a high-profile AI adoption programme across a diverse group of entrepreneurial businesses.
You will
- Build AI agents and shape how Copilot is implemented across the group
- Work directly with founders and senior leaders
- Turn AI investment into measurable business value
- Influence working practices across recruitment, business development, marketing, finance, operations and leadership
- Build a framework that can be scaled across multiple businesses
- #J-18808-Ljbffr
Microsoft Copilot & AI Adoption Lead employer: Ingenia Global Partners
Ingenia Global Partners is an exceptional employer that fosters a culture of innovation and empowerment, providing employees with the opportunity to lead transformative AI initiatives across diverse businesses. With a focus on professional growth, you will collaborate directly with entrepreneurial leaders, gaining invaluable experience while shaping the future of work through cutting-edge technology. Our commitment to strategic development and supportive governance ensures that you can thrive in a dynamic environment, making a meaningful impact on productivity and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Microsoft Copilot & AI Adoption Lead
✨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 Ingenia Global Partners!
✨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 Microsoft Copilot & AI Adoption Lead at Ingenia Global Partners.
✨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 Ingenia Global Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Microsoft Copilot & AI Adoption Lead at Ingenia Global Partners, 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 Microsoft Copilot & AI Adoption Lead
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 Ingenia Global Partners, 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 Ingenia Global Partners. 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 Ingenia Global Partners
✨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 Ingenia Global Partners!
✨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.
