At a Glance
- Tasks: Lead a strategic data workstream and drive successful outcomes in a major transformation programme.
- Company: Join a leading financial services firm with a focus on innovation and transformation.
- Benefits: Competitive day rate, flexible working pattern, and the chance to influence key decisions.
- Other info: 12-month contract with opportunities for professional growth and development.
- Why this job: Make a real impact by leading critical data initiatives in a dynamic environment.
- Qualifications: Proven experience in data leadership and strong stakeholder management skills required.
The predicted salary is between 58349 - 71315 £ per year.
- London | 12-Month Contract | 2-3 Days Onsite | Inside IR35 | Up to £650 per day
- Data Lead
- | Financial Services Transformation Programme
- We are seeking an experienced
Data Lead to take ownership of a critical data workstream within a major transformation programme.
This role is suited to a senior data professional who operates beyond the boundaries of their job title, bringing leadership, structure and accountability to complex initiatives.
You will lead a workstream end-to-end, creating clarity where priorities are evolving and ensuring successful outcomes across business and technology teams.
Whether your background is in architecture, product ownership, delivery, or data transformation, the key requirement is your ability to be recognised as a leader in the room, influencing senior stakeholders and driving decisions without the support of a dedicated Programme Manager.
Key Responsibilities
- Lead a strategic data workstream from inception through delivery.
- Create structure, governance and direction within ambiguous or evolving environments.
- Take ownership of business outcomes rather than managing a task list.
- Build and manage relationships with senior business, technology, data and risk stakeholders.
- Drive alignment and decision-making across multiple teams and functions.
- Provide challenge and oversight to engineering and delivery teams where appropriate.
- Ensure delivery remains focused on agreed business objectives.
- Support data platform modernisation and legacy estate migration initiatives.
- Required Experience
- Proven experience leading enterprise-scale data programmes or workstreams.
- Ability to operate independently and take ownership of complex outcomes.
- Strong stakeholder management and communication skills.
- Experience influencing senior business, technology and risk stakeholders.
- Background in Data Architecture, Data Product, Data Delivery, Data Transformation, or similar disciplines.
- Experience working within large, complex organisations.
- Comfortable operating in fast-paced environments with evolving requirements.
- Technical Experience
Technical expertise is considered a credibility requirement rather than a strict screening criterion.
Candidates should demonstrate
- Working knowledge of
Databricks .
- Familiarity with dbt .
- Ability to engage credibly with Data Engineers and challenge technical approaches where required.
- Experience supporting data platform modernisation programmes.
- Exposure to legacy platform exit or migration programmes.
- Preferred Experience
- Financial Services or other regulated industry experience.
- Availability to start at short notice.
Skills & Attributes
- Strong leadership presence.
- Excellent communication and stakeholder management skills.
- Commercially aware and outcome-focused.
- Ability to influence, challenge and drive decisions at senior levels.
- Comfortable operating with a high degree of autonomy.
- Strong problem-solving and organisational skills.
Day Rate
- Up to
- £650 per day
Contract Type
Inside IR35
Duration
12-month contract
Location
London
Working Pattern
2-3 days onsite per week
Start Date
- ASAP
- #J-18808-Ljbffr
Data Consultant employer: Empresaria Group plc
As a Commercial Manager with us, you'll thrive in a dynamic work environment that values innovation and collaboration. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional development, all while being part of a supportive team that prioritises your growth and success. Join us in a location that fosters creativity and engagement, making every day at work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Consultant
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Empresaria Group plc before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Empresaria Group plc.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Empresaria Group plc.
We think you need these skills to ace Data Consultant
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Empresaria Group plc, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Empresaria Group plc, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Empresaria Group plc’s attention and show the tangible impact of your work.
How to prepare for a job interview at Empresaria Group plc
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Empresaria Group plc.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Empresaria Group plc.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Empresaria Group plc.
