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- Tasks: Lead data governance and optimise analytics for Front Office banking teams.
- Company: A leading international bank with a global presence.
- Benefits: Competitive salary, career growth, and a supportive culture.
- Why this job: Make a direct impact on strategic decision-making in a forward-looking environment.
- Qualifications: Strong SQL and Python skills, with experience in data governance and CIB.
- Other info: Engage with senior stakeholders and embrace automation and analytics.
The predicted salary is between 72000 - 108000 £ per year.
A leading international bank is looking for a VP‐level Data Management & Analytics specialist to join a high‐impact COO function supporting Front Office teams across Corporate & Institutional Banking.
If you're passionate about optimising data architecture, and driving front‐office effectiveness through analytics and automation — this role offers serious scope and visibility.
What You'll Be Doing- Own and evolve the data governance framework for Front Office banking data
- Build and optimise ETL pipelines, automated processes and scalable data ingestion
- Shape the data warehouse architecture and integrate outputs with Salesforce, PowerBI, Dealogic & more
- Enhance the bank's golden source of CIB data and uplift historic datasets
- Design data models to power MI, analytics and future GenAI/LLM initiatives
- Lead UAT, change management, and collaborate with third‐party data providers
- Act as SME for all data‐related matters across the banking division, engaging FO, COO, IT and senior stakeholders
- Strong SQL + Python
- Cloud data warehousing (e.g., Snowflake)
- Data governance, data quality and modelling expertise
- Experience working closely with Front Office teams in a CIB environment
- Large dataset interrogation & financial/management information systems knowledge
- Salesforce or CRM experience a bonus
- Senior ownership of critical data strategy
- Direct impact on front‐office performance and strategic decision‐making
- Cross‐functional exposure at senior levels
- A forward‐looking environment embracing automation, analytics and GenAI
- Inclusive, supportive culture in a global banking group
VP – Front Office Data Management & Analytics in London employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP – Front Office Data Management & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and data management sectors. Attend industry events or webinars where you can meet potential employers and showcase your passion for data governance and analytics.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've optimised data architecture in previous roles. We want to see you shine as a subject matter expert!
✨Tip Number 3
Showcase your experience with cloud data warehousing and large dataset interrogation. Bring examples of how you've enhanced data quality and governance in your past roles. This will set you apart from the competition!
✨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.
We think you need these skills to ace VP – Front Office Data Management & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of VP – Front Office Data Management & Analytics. Highlight your experience with data governance, ETL pipelines, and any relevant tools like SQL and Python. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about optimising data architecture and driving front-office effectiveness. Share specific examples of your past achievements that relate to the job description. Let us know why you’re the perfect fit!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with cloud data warehousing, data quality, and modelling. If you’ve worked with Salesforce or other CRMs, make sure to include that too. We love seeing candidates who are technically savvy!
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 receive your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Inside Out
Make sure you’re well-versed in data governance and management principles. Brush up on your SQL and Python skills, as these will likely come up during technical discussions. Be ready to share examples of how you've optimised data architecture in previous roles.
✨Showcase Your Front Office Experience
Since this role involves working closely with Front Office teams, prepare to discuss your past experiences in a Corporate & Institutional Banking environment. Highlight specific projects where your analytics and automation efforts made a tangible impact on performance.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle data-related challenges. Think of scenarios where you’ve led UAT or managed change effectively, and be ready to explain your thought process and outcomes.
✨Engage with Stakeholders
This role requires collaboration with various stakeholders, so be prepared to discuss how you’ve successfully engaged with senior leaders and third-party data providers in the past. Show that you can communicate complex data concepts clearly and build strong relationships.
