At a Glance
- Tasks: Design and implement enterprise-wide data strategy and governance for client-facing and internal functions.
- Company: Join a forward-thinking global consultancy business focused on transformation and growth.
- Benefits: Opportunity to transition from interim to permanent head of data and analytics.
- Other info: Experience with Microsoft data platforms like Fabric, Azure, and Power BI is desirable.
- Why this job: Lead the data organisation's ongoing management in a rapidly evolving AI environment.
- Qualifications: Significant senior leadership experience in data and analytics within complex global organisations required.
The predicted salary is between 70000 - 90000 £ per year.
Opportunity to join a forward-thinking global consultancy business. Experience in professional services, consulting, or project‑based environments within a global organisation is a must!
This is a new senior leadership role responsible for designing, implementing, and operating enterprise-wide data strategy, organisation, processes, governance and technologies for both its client facing business and internal G&A functions. Critical to the role is establishing the data strategy in the context of both aggressive transformation and growth activities, as well as the overall rapidly evolving AI and technology environment. This interim role may transition to become the permanent head of data and analytics, responsible for the data organisation’s ongoing management and continued development.
ESSENTIAL EXPERIENCE
- Significant senior leadership experience in data, analytics, or data platform roles within complex, global organisations.
- Strong conceptual and practical understanding of AI principles, concepts, and technologies.
- Proven ownership of enterprise data strategy, data governance, and analytics delivery.
- Strong experience with modern data lake, warehouse and analytics architectures, including vendor‑delivered platforms.
- Demonstrated success leading data engineering and BI/analytics teams at scale.
- Experience designing and running data governance and data quality frameworks.
- Strong stakeholder management skills, with the ability to influence senior leaders as well as lead the broader organisation through deliberate change management.
- Experience operating within shared service or global delivery models.
DESIRABLE
- Exposure to finance and commercial data domains.
- Experience working with Microsoft data platforms (e.g. Fabric, Azure, Power BI) or similar enterprise ecosystems.
- Familiarity with managing data platforms built or supported by third‑party system integrators.
Head of Data & Analytics employer: Eden Smith Group
This global consultancy is at the forefront of innovation, offering a dynamic work environment. Employees benefit from opportunities for professional growth and exposure to cutting-edge technologies. The team is dedicated to driving transformation in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data & Analytics
✨Get Involved in Data Science Meetups
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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 Eden Smith Group.
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We think you need these skills to ace Head of Data & Analytics
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 Eden Smith 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 Eden Smith 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 Eden Smith 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 Eden Smith 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.
