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- Tasks: Lead data architecture strategies and manage high-performing teams for investment clients.
- Company: Global consulting firm focused on technology and transformation in finance.
- Benefits: Up to ÂŁ95,000 salary, hybrid work, personal development, and a focus on wellbeing.
- Other info: Opportunities for career progression and exposure to cutting-edge data technologies.
- Why this job: Drive impactful data transformations and engage with senior stakeholders in a collaborative environment.
- Qualifications: Strong data architecture background and leadership experience in investment management.
The predicted salary is between 95000 - 95000 ÂŁ per year.
A leading global consulting organisation is seeking a Senior Manager – Data Architect to join its Technology & Transformation practice, specialising in Investment Management and Wealth. This is a senior client‑facing role for an experienced data leader who is passionate about modern data architecture, investment data, and driving large‑scale transformation. You will work closely with senior stakeholders, lead high‑performing teams, and help shape data strategies that improve operating models, enable better decision‑making, and deliver measurable business outcomes.
Key Responsibilities
- Lead the design and delivery of enterprise data strategies and data architecture for complex investment and wealth clients.
- Manage multi‑disciplinary teams delivering assessments, target‑state architectures, and transformation roadmaps.
- Identify inefficiencies in existing data architectures and define pragmatic, scalable improvements.
- Shape and deliver operating model and data transformation initiatives, from strategy through to implementation.
- Lead client workshops to define requirements, design data models, and agree architectural principles.
- Engage confidently with C‑level and senior stakeholders, translating complex data concepts into clear business value.
- Stay close to emerging data technologies and industry trends, applying them to real client challenges.
Required Experience
- Strong background in data architecture and data solution design within consulting or large enterprise environments.
- Deep understanding of data management concepts including:
- Data modelling (conceptual, logical, physical)
- Data quality, master & reference data
- Analytics, reporting, and self‑service BI
- Asset & wealth management products
- Trading, portfolio management, risk, pricing, ESG, market data
Why Join?
- Work on high‑impact data transformation programmes for leading financial services organisations.
- Operate at the intersection of strategy, architecture, and delivery.
- Be part of a collaborative, inclusive environment that values expertise, innovation, and leadership.
- Clear progression, strong investment in personal development, and exposure to senior decision‑makers.
- Flexible hybrid working model with a strong focus on wellbeing and career sustainability.
Data Architect Manager employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their data strategies and be ready to discuss how your experience aligns with their needs. We want you to shine and show them why you're the perfect fit!
✨Tip Number 3
Practice your pitch! You should be able to clearly articulate your experience and how it relates to the role of a Data Architect Manager. We recommend rehearsing with friends or mentors to get comfortable with your delivery.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that dream role!
We think you need these skills to ace Data Architect Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Architect Manager. Highlight your experience in data architecture and investment management, and don’t forget to showcase your leadership skills. We want to see how you can drive transformation!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about modern data architecture and how your background aligns with our needs. Be sure to mention any relevant projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills: We’re looking for someone with a strong grasp of data management concepts. Make sure to include specific examples of your experience with data modelling, analytics, and reporting. This will help us see how you can add value to our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Nigel Frank
✨Know Your Data Inside Out
Make sure you have a solid grasp of data architecture concepts, especially those relevant to investment management and wealth. Brush up on data modelling techniques and be ready to discuss how you've applied them in past roles.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've managed multi-disciplinary teams and developed junior talent, highlighting any successful projects you've overseen.
✨Engage with Stakeholders
Practice translating complex data concepts into business value. Be prepared to discuss how you've engaged with C-level executives and senior stakeholders in the past, and how you can help them make informed decisions based on data.
✨Stay Ahead of the Curve
Familiarise yourself with emerging data technologies and industry trends. Be ready to discuss how these innovations can be applied to real client challenges, showcasing your proactive approach to staying updated in the field.