At a Glance
- Tasks: Lead the creation of a new Group Data Office and shape enterprise data management.
- Company: Global financial services firm with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, hybrid working, and potential for permanent role.
- Other info: Opportunity for significant career growth and impact within the organisation.
- Why this job: Be at the forefront of building data capabilities in a dynamic environment.
- Qualifications: Experience in enterprise data management and strong stakeholder engagement skills.
London | Hybrid (minimum 3 days a week in the office) 12-month initial contract, with a genuine opportunity to go permanent £650£750 per day (Inside IR35), depending on experience We're working with the Group Chief Data Officer of a global financial services business who's building a brand-new Group Data Office.
We're looking for a Senior Enterprise Data Lead to work alongside the Group Chief Data Officer as they build the function from scratch.
This is a senior role where you'll be working with business leaders across the organisation and helping shape how enterprise data is managed going forward.
This isn't a governance-only role and it definitely isn't a programme management role.
It's for someone who enjoys building things, is happy rolling their sleeves up when needed, but is equally comfortable sitting down with senior stakeholders and helping move things forward.
You'll be working with stakeholders across Technology, Architecture, Risk, Compliance and the wider business, helping turn strategy into something that's practical and can actually be delivered.
You'll also be working alongside an external consultancy, so you need to be comfortable challenging recommendations, asking the right questions and helping decide what should be prioritised.
The focus is on building capability rather than maintaining what's already there.
Key Requirements We are looking for someone with experience across: Enterprise Data Management Data Governance Data Quality Metadata & Lineage Data Controls Data Operating Models Data Strategy / Data Transformation You'll have experience creating governance frameworks, policies and standards, but more importantly you'll have experience getting the business to adopt them.
We're looking for someone who can take recommendations from stakeholders or external partners, work out what's actually important, challenge where needed and turn those recommendations into a practical plan that people can deliver.
Background You'll have a strong financial services background, whether that's banking, insurance or asset management, and you'll be comfortable working with senior stakeholders across the business.
We're probably looking for someone operating around Head of Data Governance, Enterprise Data Lead, Head of Data Management or a similar level, or someone who's played a significant part in building or maturing an enterprise data capability within a large organisation.
You'll be confident engaging with senior stakeholders, challenging constructively where needed and representing the Group Data Office across different parts of the business.
Experience with tools such as Collibra, Purview, Informatica, Ataccama or similar would be beneficial, but the emphasis is on someone who understands how to build an enterprise data capability rather than someone who's simply administered a governance tool.
AI experience would be useful, but it isn't essential.
The initial contract is for 12 months, but the intention is to build a permanent team, so there is a genuine opportunity to move into a long-term role for the right person.
This probably isn't the right role if your experience has mainly been running governance processes or administering governance tooling.
It's much better suited to someone who's helped build an enterprise data capability, enjoys working with senior stakeholders and wants to play a big part in establishing a new Group Data Office.
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Senior Enterprise Data Lead - London - Financial Services employer: Essential Consulting
Join a leading global bank that prioritises employee development and offers a dynamic work culture, where your expertise in Monday.com will be valued in driving significant infrastructure projects. With a hybrid working model based in Birmingham or Sheffield, you will enjoy the flexibility of remote work while being part of a collaborative team that fosters innovation and growth opportunities, making it an excellent place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Enterprise Data Lead - London - Financial Services
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We think you need these skills to ace Senior Enterprise Data Lead - London - Financial Services
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!
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Craft a Tailored Cover Letter:For a full-time role at Essential Consulting, 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 Essential Consulting. 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 Essential Consulting
✨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!
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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 Essential Consulting!
✨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.