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- Tasks: Lead the data team to ensure accurate and timely data for decision-making.
- Company: Join a dynamic fintech company focused on B2B payment solutions.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant company culture.
- Why this job: Be at the forefront of data-driven decisions in a fast-paced environment.
- Qualifications: Bachelor’s degree in relevant fields; experience in financial services or fintech preferred.
- Other info: Only successful candidates will be contacted.
The predicted salary is between 43200 - 72000 £ per year.
As Head of Data, your mission is to make sure that high quality and timely data drives the big decisions. You will lead the data team in ensuring our data infrastructure and data modelling is accurate, cost efficient and secure and that end users have accurate, timely and trusted data.
Experience
- Experience in the financial services or payments industry, ideally with exposure to B2B payment platforms or fintech companies.
- Demonstrated success in building and leading cross-functional data teams in dynamic, fast-paced environments. Ideally as a data leader in a PE or VC backed company.
- Hands-on experience with data governance, regulatory compliance and risk management in financial transactions.
- Expertise in data architecture, data modeling, and database management.
- Strong understanding of cloud-based data solutions.
- Experience with the tools we work with, or other equivalent ones (dbt, BigQuery, Stitch, Segment, Fivetran, Metabase, Apache Airflow).
Education
- A bachelor’s degree in a relevant field such as Computer Science, Information Technology, Data Science, Engineering (e.g., Computer Science Engineering), Mathematics, or Statistics.
Head of Data employer: Confidential
Contact Detail:
Confidential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data
✨Tip Number 1
Network with professionals in the financial services and fintech sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends in data management.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience leading cross-functional teams. Be prepared to share specific examples of how you’ve successfully managed projects and driven results in fast-paced environments.
✨Tip Number 3
Familiarise yourself with the tools mentioned in the job description, such as dbt, BigQuery, and Apache Airflow. Consider taking online courses or certifications to demonstrate your proficiency and commitment to staying current in the field.
✨Tip Number 4
Prepare to discuss your understanding of data governance and regulatory compliance. Highlight any relevant experiences where you ensured data security and compliance in financial transactions, as this is crucial for the role.
We think you need these skills to ace Head of Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the financial services or payments industry. Emphasise any roles where you built and led cross-functional data teams, especially in dynamic environments.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data and how your hands-on experience with data governance and cloud-based solutions aligns with the company's needs. Be specific about your achievements in previous roles.
Showcase Relevant Skills: List your expertise in data architecture, modelling, and management clearly. Mention any familiarity with tools like dbt, BigQuery, and Apache Airflow, as these are crucial for the role.
Highlight Educational Background: Ensure your educational qualifications are prominently displayed, particularly if you have a degree in Computer Science, Data Science, or a related field. This will reinforce your suitability for the Head of Data position.
How to prepare for a job interview at Confidential
✨Showcase Your Leadership Experience
As a candidate for the Head of Data position, it's crucial to highlight your experience in building and leading cross-functional data teams. Prepare specific examples of how you've successfully managed teams in fast-paced environments, particularly in the financial services or fintech sectors.
✨Demonstrate Technical Expertise
Be ready to discuss your hands-on experience with data governance, regulatory compliance, and risk management. Familiarise yourself with the tools mentioned in the job description, such as dbt and BigQuery, and be prepared to explain how you've used them in previous roles.
✨Understand the Business Context
Since the role involves making data-driven decisions, it's important to understand the business implications of data. Research the company’s current data strategies and think about how you can contribute to improving their data infrastructure and modelling.
✨Prepare Questions for the Interviewers
Interviews are a two-way street. Prepare insightful questions that demonstrate your interest in the role and the company. Ask about their current data challenges, team dynamics, and future data initiatives to show that you're thinking critically about how you can add value.
