At a Glance
- Tasks: Lead data modelling projects and create innovative data solutions for top clients.
- Company: Join Deloitte, a leader in AI & Data transformation with a collaborative culture.
- Benefits: Enjoy hybrid working, competitive salary, and continuous professional development.
- Why this job: Make a real impact on major tech challenges while growing your career.
- Qualifications: Experience in data modelling and strong business acumen in Financial Services.
- Other info: Be part of a diverse team that values inclusion and personal growth.
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:
- 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: You'll be based in London or Manchester with hybrid working. At Deloitte we understand the importance of balancing your career alongside your home life. That's why we'll support you to work flexibly through our hybrid working policy. 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.
Our commitment to you: Making an impact is more than just what we do: it's why we're here. So 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. We want you. The true you. Your own strengths, perspective and personality. So we're nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution.
Senior Manager, Financial Services, Data Engineering/Modelling Lead, Ai&D, Technology in Manchester 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 in Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, webinars, or even local meetups. Building relationships can open doors to opportunities that aren’t advertised.
✨Showcase Your Expertise
Don’t just talk about your skills; demonstrate them! Share insights on LinkedIn or write articles related to data modelling and financial services. This positions you as a thought leader and attracts attention from recruiters.
✨Prepare for Interviews
Research the company and its projects thoroughly. Be ready to discuss how your experience aligns with their needs, especially in AI and data transformation. Practice common interview questions to boost your confidence.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Deloitte.
We think you need these skills to ace Senior Manager, Financial Services, Data Engineering/Modelling Lead, Ai&D, Technology in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience in data modelling and financial services, and show how your skills align with what we're looking for at Deloitte.
Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of projects you've led or contributed to. Use metrics where possible to demonstrate the impact of your work—this will help us see your potential.
Be Authentic: Let your personality shine through in your application. We value diversity and want to know who you are beyond your professional experience. Share your motivations and what excites you about this opportunity.
Apply Through Our Website: For the best chance of success, make sure to submit your application through our official website. This ensures it reaches the right people and gives you a better shot at connecting with us.
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 technical expertise and understanding of the role.
✨Showcase Your Business Acumen
Since the role is heavily focused on Financial Services, be prepared to discuss your experience in sectors like Banking or Insurance. Highlight specific examples where your insights led to successful data-driven decisions for clients.
✨Build Relationships with Stakeholders
Demonstrate your ability to connect with business stakeholders. Share examples of how you've translated complex business requirements into actionable data models, showcasing your communication skills and collaborative approach.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in data technologies and methodologies. Being able to discuss recent advancements or tools like Snowflake or Databricks will show that you're proactive and committed to continuous learning.