At a Glance
- Tasks: Lead the charge in transforming data and AI strategies across a global organisation.
- Company: Join a leading multinational at the forefront of digital transformation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration.
- Why this job: Shape the future of AI and analytics while making a real impact on business value.
- Qualifications: Proven leadership in Data, Analytics, and AI with strong communication skills.
The predicted salary is between 81144 - 99176 £ per year.
My client, a leading multinational, is seeking a Senior Manager - Data & AI to accelerate enterprise data transformation and scale modern analytics and AI capabilities across the organisation. The role sits at the centre of global digital and AI-driven transformation, shaping how data, analytics and AI products are designed, governed and delivered. It offers the opportunity to define enterprise standards, build a strategic Data & AI product portfolio, and drive adoption of Generative and Agentic AI to unlock measurable business value.
Responsibilities:
- Data & AI Strategy - Support execution of the enterprise Data, Analytics and AI strategy and drive adoption of advanced AI capabilities.
- Portfolio Management - Lead the Data & AI Product Portfolio, ensuring prioritisation, investment alignment and lifecycle governance.
- Reusable Data Products - Maintain a roadmap of scalable, reusable data products and analytics capabilities.
- Governance Alignment - Ensure all products meet metadata, catalogue and governance standards in partnership with Data Governance and Data Quality teams.
- Solution Design Leadership - Lead solution design standards, coaching designers and ensuring alignment with enterprise architecture and security.
- Data Platform Integration - Work with Data Platform and Engineering teams to maximise reuse of the enterprise data platform, including SAP integration.
- Product Delivery - Oversee end-to-end delivery of Data, Analytics and AI products, ensuring quality, timelines and value realisation.
- Responsible AI - Lead secure and responsible deployment of AI, Generative AI and Agentic AI solutions.
- Vendor Management - Manage strategic delivery partners to drive performance and innovation.
- Stakeholder Engagement - Act as a trusted advisor, presenting strategy, roadmaps and business cases to senior leaders.
- Continuous Improvement - Improve product adoption, data quality, catalogue health and overall portfolio value.
- Leadership in Data & AI - Proven leadership across Data, Analytics, AI or technology delivery.
- Data Product Management - Strong experience managing enterprise data products.
- Solution Design - Experience designing Data, Analytics and AI solutions, including Generative AI.
- SAP Data & Analytics - Strong SAP delivery and solution background.
- Governance - Experience applying Data Governance, Data Quality and Data Catalogue standards.
- Stakeholder Management - Excellent communication and influencing skills.
- Analytical Skills - Strong analytical and problem-solving capabilities.
IT Sr Manager, Data and AI employer: Cromwell Banks
The Cromwell Banks group is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Milton Keynes. Employees benefit from flexible hybrid working arrangements, professional development opportunities, and the chance to make a significant impact through data-driven insights in procurement. Join us to be part of a forward-thinking team that values your contributions and supports your career growth.
StudySmarter Expert Advice🤫
We think this is how you could land IT Sr Manager, Data and AI
✨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 Cromwell Banks!
✨Show Off Your Projects
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✨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 Cromwell Banks.
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When you find a suitable opening like IT Sr Manager, Data and AI at Cromwell Banks, 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 IT Sr Manager, Data and AI
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 Cromwell Banks, 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 Cromwell Banks. 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 Cromwell Banks
✨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 Cromwell Banks!
✨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.
