At a Glance
- Tasks: Lead innovative data and AI projects in the banking sector, transforming financial services.
- Company: Join Deloitte's cutting-edge AI & Data Financial Services team.
- Benefits: Flexible hybrid working model, competitive salary, and professional growth opportunities.
- Other info: Collaborative environment with opportunities to work on exciting projects.
- Why this job: Make a real impact by solving complex data challenges for clients.
- Qualifications: Experience in data or AI within financial services and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Deloitte's AI & Data Financial Services team is at the forefront of transforming the financial services industry by empowering clients to harness cutting‑edge AI solutions and data‑analysis and management programmes. As part of this team, practitioners design and develop innovative solutions that address real‑world challenges, unlock new opportunities, and drive continuous growth and innovation, from initial strategy to implementation and optimisation.
Responsibilities
- Deliver complex data transformation, implementation, advisory, and remediation projects.
- Provide technical expertise and guidance to project teams and clients.
- Work within a high‑performing specialist team.
- Collaborate directly with clients to understand their unique needs and develop tailored solutions for their most pressing data and AI problems.
- Build strong client relationships.
- Manage stakeholder expectations and communications.
- Contribute to the growth and development of Deloitte's data practice.
Qualifications
- Experience in business analysis, implementation, delivery, or consulting in the Financial Services industry with a focus on data or AI.
- Lead and develop small teams, supporting the delivery of large‑scale data programmes within the Banking sector.
- Demonstrated experience across the Financial Services industry, primarily in Banking.
- Strong communication, presentation, business writing, and professional skills, including the ability to bridge technical and business stakeholders.
- Experience in requirements gathering and solution shaping, translating technical requirements into business outcomes.
- Excellent at building relationships and collaborating with internal and client stakeholders to understand and articulate challenges in implementing overall vision.
- Strong and specialised experience and understanding of new AI and data products, processes and technologies, and modern data architecture principles and data management (e.g., data governance, data quality, data strategy).
- Proficiency in key day‑to‑day applications such as Microsoft Office, Jira, and Confluence.
- Experience in delivery methodologies (Waterfall, Agile/SaFe, etc.) and tooling (Jira, Confluence, Planview, etc.).
- Familiarity with cloud platforms (Azure, AWS, GCP, etc.) and data tools (Databricks, Power BI, Python, Snowflake, Hadoop, SQL, etc.).
- Demonstrated bias for action, problem‑solving mindset, and ability to operate independently.
Working arrangements
Based in London with a hybrid working model. The role allows you to work flexibly across the local office, virtual collaboration spaces, client sites, and remotely, depending on the requirements of the role.
Data & AI Delivery Lead – Banking (Hybrid) employer: Hm Revenue & Customs (Hmrc)
Deloitte is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the AI & Data Financial Services team. Employees benefit from flexible hybrid working arrangements in London, access to cutting-edge technology, and opportunities for professional growth through challenging projects and strong client relationships, making it an ideal environment for those looking to make a meaningful impact in the banking sector.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Delivery Lead – Banking (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector, especially those who work with data and AI. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in delivering data transformation projects. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common questions for roles in data and AI within banking. Practice your responses, focusing on how you've tackled challenges and delivered results in past projects.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly shows your enthusiasm and makes it easier for us to spot your application.
We think you need these skills to ace Data & AI Delivery Lead – Banking (Hybrid)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data and AI within the banking sector. We want to see how your skills align with the specific needs of our team!
Showcase Your Communication Skills:Since strong communication is key for this role, use your application to demonstrate your ability to bridge technical and business conversations. We love seeing clear, concise writing that reflects your professional skills.
Highlight Relevant Experience:Don’t forget to mention any hands-on experience you have with data transformation projects or AI solutions. We’re looking for candidates who can hit the ground running, so make those experiences stand out!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Data Inside Out
Make sure you brush up on the latest trends in data management and AI technologies. Be ready to discuss how these can be applied in the banking sector, as this will show your understanding of the industry and its challenges.
✨Showcase Your Communication Skills
Since the role involves bridging technical and business stakeholders, practice articulating complex ideas in simple terms. Prepare examples of how you've successfully communicated with clients or team members in the past.
✨Demonstrate Your Problem-Solving Mindset
Think of specific instances where you've tackled challenges in data transformation or implementation. Be ready to share your thought process and the outcomes, as this will highlight your ability to operate independently and drive results.
✨Build Rapport with Interviewers
Remember, building strong client relationships is key in this role. During the interview, engage with your interviewers, ask insightful questions, and show genuine interest in their work. This will help you stand out as a candidate who values collaboration.
