At a Glance
- Tasks: Lead data modelling projects and create innovative data solutions for clients.
- Company: Join Deloitte, a leader in technology and transformation.
- Benefits: Flexible hybrid working, professional development, and a supportive culture.
- Why this job: Make a real impact on major AI and data projects in a dynamic environment.
- Qualifications: Experience in data modelling and strong business acumen in Financial Services.
- Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Do you want to be at the heart of some of the biggest and most ambitious AI & Data projects? Technology & Transformation: How do you make intelligent, future-proof decisions in a world where change is the one constant? That’s exactly what you’ll help our clients to do. You’ll build trusted relationships with business stakeholders - and use the most exciting new technologies available - to create data-driven programmes that transform their organisations. Your advice will help clients position their organisations to succeed in an ever-evolving marketplace.
We are seeking highly experienced and accomplished Business Data Modellers to join our rapidly growing Data Architecture practice. As a Manager or Senior Manager, you will play a critical role in designing, developing, and implementing data models for our diverse portfolio of clients across Financial Services. You will work closely with senior stakeholders, translating business requirements into robust and scalable data models.
Your role includes:
- Lead and deliver data modelling projects: You will lead and manage teams, overseeing all aspects of the data modelling lifecycle, from requirements gathering and analysis to design, and implementation.
- Develop and maintain data models: You will create and maintain high-quality data models using various methodologies (e.g., dimensional modelling, data vault, entity-relationship modelling), ensuring alignment with business needs and technical architecture.
- Collaborate with stakeholders: You will work closely with business stakeholders and cross functional project teams (e.g., business analysts, data engineers, architects, testers) to understand business requirements, translate them into technical specifications, and ensure successful project delivery.
- Provide thought leadership: You will contribute to the development of innovative data solutions, sharing your expertise and best practices with clients and colleagues.
- Mentor junior team members: You will guide and mentor junior consultants, fostering their professional development and contributing to a positive team environment.
- Contribute to proposal development: You will participate in the development of proposals for new business opportunities, showcasing your expertise and understanding of client needs.
- Stay abreast of industry trends: You will continuously learn and adapt to the ever-evolving landscape of data technologies and methodologies.
Connect to your skills and professional experience:
- Strong business acumen in Financial Services industry (with experience in one or more sectors incl. Banking & Capital Markets, Insurance or Asset Management) and the ability to translate business requirements into technical solutions.
- Experience in developing and delivering presentations to senior stakeholders.
- Proven ability to build and maintain strong client relationships.
- Experience managing and mentoring teams, fostering a collaborative and high-performing work environment.
- Strong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).
- Experience with data warehousing, data lakes, and cloud-based data platforms (e.g., Snowflake, Databricks, AWS, Azure).
- Proficiency in SQL and data modelling tools (e.g., Erwin, Power Designer).
- Understanding of data governance principles and best practices, including data quality management, metadata management, and data lineage tracking.
Our hybrid working policy allows you to balance your career alongside your home life. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely.
Making an impact is more than just what we do: it’s why we’re here. We work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see.
Senior Manager, Financial Services, Data Engineering/Modelling Lead, AI&D, Technology & Transfo[...] in London employer: Deloitte LLP
Contact Detail:
Deloitte LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Financial Services, Data Engineering/Modelling Lead, AI&D, Technology & Transfo[...] in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, or even hit up LinkedIn. The more connections you make, the better your chances of landing that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with yours. This will help you stand out and show that you're genuinely interested in being part of their team.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or family to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine in front of the real interviewers.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in showing your appreciation and keeping you top of mind. Plus, it’s a great chance to reiterate your enthusiasm for the role.
We think you need these skills to ace Senior Manager, Financial Services, Data Engineering/Modelling Lead, AI&D, Technology & Transfo[...] in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role you're applying for. Highlight your experience in data modelling and financial services, and don’t forget to showcase your ability to collaborate with stakeholders. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI & Data projects and how your skills align with our values. Be genuine and let your personality come through – we love to see the real you!
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just responsibilities. Use metrics where possible to demonstrate the impact you've made in previous roles. We’re all about measurable impact here at StudySmarter!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our culture there!
How to prepare for a job interview at Deloitte LLP
✨Know Your Data Modelling Methodologies
Make sure you brush up on various data modelling methodologies like dimensional modelling and data vault. Be ready to discuss how you've applied these in past projects, as this will show your depth of knowledge and practical experience.
✨Showcase Your Stakeholder Management Skills
Prepare examples of how you've successfully collaborated with business stakeholders in previous roles. Highlight your ability to translate complex technical requirements into understandable terms for non-technical audiences, as this is crucial for the role.
✨Demonstrate Thought Leadership
Think about innovative data solutions you've developed or contributed to. Be prepared to share your insights on industry trends and how they could impact the financial services sector, showcasing your proactive approach to problem-solving.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your decision-making and leadership skills. Practice articulating your thought process when faced with challenges in data modelling projects, as this will demonstrate your critical thinking abilities.