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For Companies At a Glance
- Tasks: Lead data strategy and enhance analytics across global regions.
- Company: International financial services organisation with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data strategy and make a real impact in finance.
- Qualifications: Strong background in data roles and proficiency with modern data tools.
- Other info: Collaborative environment with diverse teams across the globe.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
- Provide leadership and direction to embedded data specialists, helping them deliver solutions aligned to business needs.
- Lead the rollout and ongoing enhancement of core data products and platforms.
- Work with operational and analytical teams to capture requirements and identify opportunities to create value from data.
- Build strong partnerships with senior stakeholders, positioning data as a key enabler of strategy.
- Define and communicate the data roadmap across the business.
- Monitor team capabilities, highlighting skills gaps and shaping plans to address them.
- Ensure delivery remains agile and outcomes-focused, making the most of available resources and technology.
Skills & Experience
- Strong background in data-centric roles, such as engineering, data science, analytics, or data product management.
- Proficiency with modern data tools and technologies (e.g. Python, SQL, Spark, dbt, APIs).
- Demonstrated success in senior or client-facing roles, delivering impactful data products and solutions.
- Knowledge of analytics, data modelling, architecture, and schema design.
- Experience building sophisticated dashboards using leading BI tools.
What will make you stand out
- Deep expertise with advanced data platforms (e.g. Databricks, Snowflake, Palantir).
- Familiarity with Python-based or low-code frameworks for building data-driven applications.
- Background in financial services or the ability to quickly understand industry-specific challenges.
This role is London-based and offered on a hybrid model, with regular time in the office (around three days per week).
Data Strategy Lead Reinsurance employer: IPS Group
Contact Detail:
IPS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Strategy Lead Reinsurance
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data strategy. Be ready to discuss how you've used data to drive business decisions in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Strategy Lead Reinsurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data-centric roles and any relevant tools you've used, like Python or SQL. We want to see how your background aligns with our needs!
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 you can help us unlock value from complex datasets. Keep it engaging and personal – we love a good story!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've delivered impactful data products or solutions in previous roles. Numbers and results speak volumes!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at IPS Group
✨Know Your Data Tools
Make sure you brush up on your knowledge of modern data tools like Python, SQL, and Spark. Be ready to discuss how you've used these technologies in past roles, as this will show your hands-on experience and technical prowess.
✨Showcase Your Leadership Skills
Since the role involves leading data specialists, prepare examples of how you've successfully guided teams in the past. Highlight your ability to align data solutions with business needs and how you've fostered collaboration across different regions.
✨Understand the Business Context
Familiarise yourself with the financial services industry and the specific challenges it faces. This will help you articulate how data can drive value and support strategic goals, making you a more compelling candidate.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or improve existing processes. Think about how you would approach capturing requirements and identifying opportunities for data-driven solutions, and be ready to share your thought process.
