At a Glance
- Tasks: Lead the Data, Analytics & AI Centre of Enablement and drive innovation across the organisation.
- Company: Join a forward-thinking company that values digital transformation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and community building.
- Why this job: Make a real impact by shaping the future of data and AI initiatives.
- Qualifications: Experience in leading Centres of Excellence and strong stakeholder engagement skills.
The predicted salary is between 70000 - 90000 £ per year.
Centre of Enablement/Excellence (CoE) Manager is accountable for the end-to-end operational leadership of the Data, Analytics & AI Centre of Enablement within Group. The role ensures that the CoE operates effectively as the central governing and enablement function, driving standardisation, prioritisation, adoption, and value realisation of data and AI initiatives across the organisation. Operating within a lean, high-authority, low-touch Target Operating Model, the CoE Manager does not directly deliver use cases but ensures:
- Demand is effectively triaged and prioritised
- Delivery teams are aligned and supported
- Value is clearly defined, tracked, and realised
- Adoption is driven across the business
Key responsibilities:
- Team Leadership & Governance - Lead and develop the CoE Management and Data & AI Governance teams. Define clear roles, ways of working, and performance expectations. Ensure alignment with enterprise Data, Analytics & AI operating model and governance frameworks.
- CoE Performance & Operations - Own the day-to-day operational effectiveness of the CoE. Establish and manage KPIs covering demand pipeline, delivery flow, and value realisation. Ensure consistent processes across intake, prioritisation, approval, and oversight.
- Demand Management - Lead the demand intake and triage process. Ensure a structured prioritisation framework that balances cost vs effort, business value, and strategic alignment. Manage and maintain a transparent pipeline of work. Coordinate resource allocation across internal teams and external partners.
- Benefits Realisation & Value Tracking - Define frameworks for measuring ROI and business impact of Data & AI initiatives. Ensure all requests have a clearly defined value case prior to approval. Conduct post-implementation reviews and value audits. Maintain and report a centralised view of realised benefits across the portfolio.
- Communications & Engagement - Promote the CoE and its services across Group. Own a Communication & Engagement strategy including roadshows, showcases, and webinars. Own the CoE digital presence (SharePoint, knowledge base, FAQs, guidance materials). Gather and report user feedback and satisfaction metrics.
- Workforce Training & Upskilling - Partner with Learning & Development to define Data & AI capability frameworks and develop structured training pathways aligned to business roles. Support the creation of learning content with internal teams and external partners. Enable workforce uplift in data literacy, AI adoption, and tooling.
- Change Management & Adoption - Monitor adoption of Data & AI solutions across the organisation. Identify barriers to adoption and define remediation actions. Partner with Change Managers to embed adoption into delivery lifecycle. Track adoption KPIs (usage, engagement, behavioural change).
- Innovation & Community - Foster a culture of innovation across Group. Establish and lead a Data & AI Innovation Hub, including Hackathons and other relevant events. Facilitate structured intake of innovative Use Cases and Proof-of-Concepts (PoCs). Ensure successful PoCs are transitioned into formal delivery pipelines.
- Policies & Procedures - Own Data, Analytics & AI policies, standards, and procedures. Ensure alignment with governance, risk, security, and compliance frameworks. Coordinate updates, approvals, and communication to stakeholders.
Skills & Experience
Essential - Proven experience leading a Centre of Excellence / Centre of Enablement function. Experience in Data, Analytics, AI, or digital transformation environments. Demonstrated ability to manage demand pipelines and prioritisation frameworks. Strong stakeholder engagement across business and technology functions. Experience in benefits realisation and value tracking.
Desirable - Experience working with System Integrators or external delivery partners. Knowledge of AI governance, risk, and ethical frameworks. Experience with enterprise-scale change management and adoption strategies. Familiarity with Data & AI tooling ecosystems.
Centre of Enablement Manager - Data/Analytics & AI employer: MORGAN PHILIPS UK LIMITED
As a Centre of Enablement Manager at our organisation, you will thrive in a dynamic and inclusive work culture that prioritises innovation and employee development. We offer comprehensive training pathways and opportunities for professional growth, ensuring you can enhance your skills in Data, Analytics, and AI while making a meaningful impact across the business. Located in a vibrant area, our workplace fosters collaboration and creativity, making it an excellent environment for those looking to drive change and realise value in their initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Centre of Enablement Manager - Data/Analytics & AI
✨Tip Number 1
Network like a pro! Reach out to folks in the Data, Analytics & AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with data and AI. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Research common queries for CoE Manager roles and practice your responses. We want you to feel confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Centre of Enablement Manager - Data/Analytics & AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Centre of Enablement Manager. Highlight your experience in leading CoEs and managing demand pipelines, as these are key for us.
Showcase Your Achievements:Don’t just list your responsibilities; show us what you’ve achieved! Use metrics to demonstrate how you've driven value realisation and adoption in previous roles.
Be Clear and Concise:Keep your application straightforward. We love clarity, so make sure your points are easy to read and get straight to the point about your skills and experiences.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates!
How to prepare for a job interview at MORGAN PHILIPS UK LIMITED
✨Know Your CoE Inside Out
Before the interview, dive deep into understanding the role of a Centre of Enablement Manager. Familiarise yourself with how they drive standardisation and prioritisation in Data, Analytics, and AI initiatives. This knowledge will help you articulate how your experience aligns with their operational leadership needs.
✨Showcase Your Leadership Skills
Be ready to discuss your previous experiences in leading teams and managing governance frameworks. Prepare specific examples that highlight your ability to define roles, set performance expectations, and ensure alignment with enterprise models. This will demonstrate your capability to lead the CoE effectively.
✨Demonstrate Demand Management Expertise
Since demand management is crucial for this role, come prepared with insights on how you've successfully triaged and prioritised projects in the past. Share frameworks or methodologies you've used to balance cost versus effort and business value, showcasing your strategic thinking.
✨Engagement and Communication Strategy
Think about how you would promote the CoE's services across the organisation. Prepare ideas for communication strategies, such as roadshows or webinars, and be ready to discuss how you would gather user feedback. This shows your proactive approach to engagement and adoption.
