At a Glance
- Tasks: Lead teams to deliver AI and data solutions for Capital Markets clients.
- Company: Join Deloitte's innovative AI & Data Financial Services team.
- Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
- Other info: Collaborate with top specialists in a dynamic and supportive environment.
- Why this job: Make a real impact by solving complex industry challenges with cutting-edge technology.
- Qualifications: Experience in financial services, data, and AI; strong communication and leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
A Manager within Deloitte’s AI & Data Financial Services team, focusing on Capital Markets clients, will lead small teams to deliver business‑critical outcomes, leveraging data and AI to solve complex industry challenges.
Responsibilities
- Deliver complex data transformation, implementation, advisory, and remediation projects.
- Provide technical expertise and guidance to project teams and clients.
- Work within a team of high‑performing specialists.
- Collaborate directly with clients to understand unique needs and develop tailored solutions for their 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 within the Financial Services industry, focusing on data or AI.
- Lead and develop small teams, supporting large‑scale data programmes in Capital Markets.
- Strong communication, presentation, business writing and professional skills, bridging technical and business stakeholders.
- Experience in requirements gathering and solution shaping, translating technical requirements into business outcomes.
- Top‑notch relationship building and collaboration with internal and client stakeholders.
- Specialised experience with AI and data products, processes, technologies and modern data architecture principles (data governance, data quality, data strategy).
- Proficiency in day‑to‑day applications such as Microsoft Office, Jira and Confluence.
- Experience with 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.).
- A bias for action, a problem‑solving mindset and the ability to operate independently.
Working Arrangements
Based in London with a hybrid working model, allowing flexibility across local office, virtual collaboration spaces, client sites and remote work. Specific requirements will be confirmed through the recruitment process.
Capital Markets AI & Data Delivery Manager (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. With a focus on employee growth, you will have access to tailored training and development opportunities while working in a hybrid model from our London office, allowing for flexibility and a balanced work-life integration. Join us to make a meaningful impact in the Capital Markets sector, leveraging cutting-edge technology and building strong client relationships.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Capital Markets AI & Data Delivery Manager (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the Capital Markets and AI sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by practising common questions related to data transformation and AI solutions. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies of past projects where you’ve led teams or delivered successful outcomes. This will help you stand out and demonstrate your ability to tackle complex challenges in the Financial Services industry.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who can contribute to our growth in the data practice. Let’s make it happen together!
We think you need these skills to ace Capital Markets AI & Data Delivery Manager (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in business analysis and data transformation, especially within the Financial Services sector. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for AI and data, and how you've successfully led teams in delivering complex projects. Keep it engaging and relevant to the role.
Showcase Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Use clear, concise language and structure your documents well. We love seeing candidates who can bridge the gap between technical and business stakeholders!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and data within the Financial Services sector. Be ready to discuss specific technologies like Azure, AWS, or SQL, and how they relate to Capital Markets. This shows you're not just familiar with the buzzwords but can actually apply them.
✨Showcase Your Leadership Skills
Since the role involves leading small teams, prepare examples of how you've successfully managed projects or guided teams in the past. Highlight your experience in delivering complex data transformation projects and how you’ve built strong relationships with clients and stakeholders.
✨Tailor Your Communication
Practice explaining technical concepts in a way that non-technical stakeholders can understand. Use clear, concise language and be prepared to demonstrate how you bridge the gap between technical and business needs. This will be crucial in showcasing your communication skills.
✨Be Ready for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data and AI challenges. Think about how you would approach these scenarios, focusing on your problem-solving mindset and ability to operate independently. This will help you stand out as a proactive candidate.
