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- Tasks: Lead the transformation of data platforms in corporate banking with innovative strategies.
- Company: Dynamic financial institution focused on modernising data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and compliance.
- Why this job: Shape the future of data strategy and make a significant impact in the banking sector.
- Qualifications: 10+ years in data engineering, strong cloud platform experience, and excellent communication skills.
The predicted salary is between 36000 - 60000 £ per year.
Work Location: Bromley, UK (Hybrid, 3 days in office)
We are seeking a Data Strategy Lead to define and drive the modernisation of enterprise data platforms within corporate banking. The role combines data platform strategy, architectural guidance, and AI/ML enablement to deliver scalable, secure, and cost-efficient solutions aligned with enterprise standards and regulatory requirements.
Key Responsibilities:
- Define and own the data platform strategy and roadmap.
- Provide architectural guidance for cloud-native and Lakehouse platforms.
- Lead migration from legacy data warehouses to modern platforms.
- Drive performance, scalability, resilience, and FinOps optimisation.
- Enable AI/ML platforms, including MLOps and model lifecycle.
- Guide solutions from PoC to production using reusable patterns.
- Define standards for batch, streaming, APIs, and data services.
- Ensure compliance with data governance, lineage, quality, and GDPR.
- Act as a trusted advisor to business, engineering, and risk stakeholders.
- Collaborate with Product Owners, System Teams, and Agile Release Trains.
Skills & Experience:
- 10+ years’ experience in data engineering or data architecture.
- Strong experience with cloud or hybrid data platforms.
- Hands-on expertise with Databricks, Snowflake, Kafka, ETL/ELT (Informatica).
- Strong Python and SQL skills.
- Experience with Delta Lake, Iceberg, and relational/NoSQL databases.
- Understanding of AI/ML platforms, MLOps, and enterprise integration.
- Experience with data governance, lineage, and metadata tools.
- Strong stakeholder communication skills.
- Experience working in Agile / SAFe environments.
Data Strategy Lead employer: Ascendion
Contact Detail:
Ascendion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Strategy Lead
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Strategy Lead role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data platforms. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience with cloud-native solutions and AI/ML enablement.
✨Tip Number 3
Showcase your expertise! Create a portfolio or a GitHub repository where you can display your projects related to data engineering and architecture. This gives potential employers a tangible look at your skills and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Data Strategy Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Strategy Lead role. Highlight your experience with data platforms, cloud technologies, and any relevant projects that showcase your skills in AI/ML enablement. We want to see how you can drive modernisation in corporate banking!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data strategy and how your background aligns with our needs. Don’t forget to mention your experience with Databricks, Snowflake, and any other tools listed in the job description.
Showcase Your Communication Skills: As a Data Strategy Lead, you'll need to communicate effectively with various stakeholders. In your application, demonstrate your ability to convey complex ideas simply. We love seeing examples of how you've acted as a trusted advisor in past roles!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at Ascendion
✨Know Your Data Platforms
Make sure you brush up on your knowledge of cloud-native and Lakehouse platforms. Be ready to discuss your experience with Databricks, Snowflake, and Kafka, as well as how you've handled migrations from legacy systems. This will show that you’re not just familiar with the tech but can also apply it strategically.
✨Showcase Your Architectural Skills
Prepare to talk about your approach to defining data platform strategies and roadmaps. Think of specific examples where you provided architectural guidance or led a project that improved performance and scalability. This will demonstrate your ability to think critically and lead effectively.
✨Highlight Your AI/ML Experience
Since the role involves enabling AI/ML platforms, be ready to discuss your hands-on experience with MLOps and model lifecycles. Share any relevant projects where you’ve implemented these technologies, as this will highlight your capability to drive innovation in data strategy.
✨Communicate Like a Pro
Strong stakeholder communication skills are key for this role. Practice articulating complex data concepts in simple terms, and prepare to discuss how you've collaborated with various teams in Agile environments. This will show that you can be a trusted advisor across different business areas.