At a Glance
- Tasks: Lead the Data & AI Centre of Enablement, driving innovation and operational excellence.
- Company: Join a forward-thinking tech organisation focused on data and AI transformation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and community engagement.
- Why this job: Make a real impact in shaping the future of data and AI initiatives.
- Qualifications: Experience in leading CoE functions and managing data-driven projects.
The predicted salary is between 70000 - 90000 £ per year.
The Centre of Enablement (CoE) Manager is accountable for the end-to-end operational leadership of the Data, Analytics & AI Centre of Enablement within Technology 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 & AI in Watford employer: Morgan Philips Group
As a Centre of Enablement Manager in our Data & AI division, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer exceptional employee growth opportunities through structured training pathways and a commitment to upskilling, ensuring you are at the forefront of technological advancements. Located in a vibrant area, our organisation fosters a supportive environment where your contributions directly impact the success of data and AI initiatives across the business.
StudySmarter Expert Advice🤫
We think this is how you could land Centre of Enablement Manager - Data & AI in Watford
✨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 Morgan Philips Group!
✨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 Centre of Enablement Manager - Data & AI at Morgan Philips Group.
✨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 Morgan Philips Group.
✨Apply Directly through Our Website
When you find a suitable opening like Centre of Enablement Manager - Data & AI at Morgan Philips Group, 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 Centre of Enablement Manager - Data & AI in Watford
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 Morgan Philips Group, 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 Morgan Philips Group. 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 Morgan Philips Group
✨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 Morgan Philips Group!
✨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.
