At a Glance
- Tasks: Lead AI and data transformation projects for investment and wealth organisations.
- Company: Join a leading consultancy with a focus on innovation and growth.
- Benefits: Competitive salary, bonus, hybrid work, and professional development opportunities.
- Other info: Dynamic role with opportunities to mentor and lead high-performing teams.
- Why this job: Make a real impact in the finance sector with cutting-edge technology.
- Qualifications: Experience in investment management and expertise in data architecture required.
The predicted salary is between 95000 - 95000 € per year.
Location: London / Edinburgh (Hybrid)
Salary: £95k + bonus + benefits
We're partnering with a leading consultancy seeking a Senior Manager to join its Investment Management & Wealth Technology & Transformation practice, specialising in AI and Data Architecture. This is a senior client-facing role focused on helping investment and wealth organisations modernise their data capabilities, design enterprise-scale architectures, and deliver complex transformation programmes across business and technology functions.
Key Responsibilities
- Lead the design and delivery of enterprise data strategies and AI-enabled transformation programmes
- Define scalable data architecture principles, target-state operating models, and solution road maps
- Drive improvements across data governance, data quality, master data management, analytics, and reporting capabilities
- Lead client workshops and engage senior stakeholders across business and technology teams
- Support the development of proposals, RFP responses, business cases, and go-to-market initiatives
- Manage and mentor high-performing multidisciplinary teams across large-scale delivery programmes
- Work closely with enterprise architects, engineering teams, and business leaders to align transformation initiatives across regions and functions
Requirements
- Strong experience within Investment Management, Asset Management, or Wealth Management environments
- Expertise across enterprise data architecture, data modelling, governance, and modern cloud data platforms
- Experience with technologies such as Snowflake, Databricks, Microsoft Fabric, Bloomberg, MSCI, Refinitiv, Charles River, or similar ecosystems
- Proven ability to lead complex transformation engagements and manage senior stakeholder relationships
- Strong consulting, programme delivery, and people leadership experience
- Excellent communication and problem-solving skills
Desirable
- Experience designing AI-enabled data products and platforms
- Certifications across cloud, data, or AI technologies
- Knowledge of agile and waterfall delivery methodologies
- CFA, CISI, CAIA, or related financial services certifications
This is an excellent opportunity to join a high-growth transformation environment working on strategic AI and data initiatives across the investment and wealth sector.
Senior Manager - Commercial & Specialty Insurance in London employer: Cyber Security training courses
Join a leading consultancy that champions innovation and transformation in the investment management and wealth sector. With a hybrid working model based in London or Edinburgh, we offer competitive salaries, bonuses, and a comprehensive benefits package, all within a collaborative culture that prioritises employee growth and development. Here, you will have the opportunity to lead high-impact projects, mentor talented teams, and engage with senior stakeholders, making a meaningful difference in the industry.
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager - Commercial & Specialty Insurance in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the investment management and wealth sectors. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on your dream job!
✨Tip Number 2
Showcase your expertise! When you’re chatting with potential employers or networking contacts, make sure to highlight your experience with enterprise data architecture and AI-enabled transformation. Share specific examples of how you've led successful projects – this will set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by doing your homework. Research the company’s recent projects and challenges in the investment management space. This will help you tailor your responses and demonstrate that you’re not just another candidate – you’re genuinely interested in their work and ready to contribute.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you a better chance of landing that interview. Plus, it shows you’re proactive and serious about joining our team!
We think you need these skills to ace Senior Manager - Commercial & Specialty Insurance in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your experience in investment management and data architecture, and don’t forget to mention any relevant technologies you've worked with, like Snowflake or Databricks.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this Senior Manager role. Share specific examples of how you've led transformation programmes and engaged with senior stakeholders.
Showcase Your Leadership Skills:Since this role involves managing high-performing teams, make sure to highlight your leadership experience. Talk about how you've mentored teams and driven improvements in past projects.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Stuff
Make sure you brush up on your knowledge of investment management and data architecture. Familiarise yourself with the technologies mentioned in the job description, like Snowflake and Databricks. Being able to discuss these confidently will show that you're serious about the role.
✨Showcase Your Leadership Skills
Since this is a senior position, be prepared to talk about your experience leading teams and managing complex projects. Have specific examples ready that highlight your ability to mentor others and drive transformation initiatives. This will demonstrate your fit for the role.
✨Engage with Stakeholders
This role involves engaging with senior stakeholders, so practice how you would approach these conversations. Think about how you can effectively communicate your ideas and solutions. Role-playing with a friend can help you feel more comfortable during the actual interview.
✨Prepare Questions
Interviews are a two-way street, so prepare insightful questions to ask your interviewers. Inquire about their current data challenges or how they envision the future of AI in their organisation. This shows your genuine interest and helps you assess if the company is the right fit for you.
