Vice President of Data

AstroPay; City Of London; On-site; GBP 120,000 - 150,000; Full time

Job summary

A global payment company is seeking a Vice President of Data to drive data strategy and analytics initiatives. The ideal candidate will have over 10 years of experience in data leadership roles and a strong expertise in data engineering and governance. You'll lead a talented team and ensure data-driven decision-making across the organization. Join us to make a significant impact in a fast-paced environment.

Qualifications

• 10+ years in data leadership roles, driving data strategy.
• Strong leadership and team-building skills.
• Expertise in data engineering, data science, and governance.
• Experience with cloud-based data architectures and modern data stack technologies.
• Understanding of machine learning and predictive analytics.

Responsibilities

• Define and implement a comprehensive data strategy.
• Oversee the development of scalable data infrastructure.
• Drive data-driven decision-making across departments.
• Lead advanced analytics and AI initiatives.
• Ensure data integrity and regulatory compliance.
• Collaborate cross-functionally to integrate data solutions.
• Mentor and build a high-performing data team.

Skills

Data strategy development

Leadership and team building

Data engineering expertise

Analytics and business intelligence

Data governance knowledge

Communication skills

Tools

AWS

Snowflake

BigQuery

Databricks

DBT

Job description

Overview

We hire smart, driven people who hate bureaucracy and love ownership. Builders, not talkers. We move fast. We ship. We improve. Every day.

You’ll be surrounded by a global A-team—diverse, talented, and radically committed to doing great work. No politics. No passengers. Just impact.

If you're after comfort, look elsewhere. If you're ready to grow at speed, challenge everything, and build something real—join us.

We are seeking a visionary and strategic Vice President of Data to lead our data organization. This role is responsible for understanding our products and business strategy to a deep level, and from there shape and execute the company’s data strategy. The role must ensure data-driven decision-making, and foster a culture of analytics excellence. The VP of Data will oversee data engineering, analytics, governance, and data science initiatives to drive business growth and operational efficiency.

Key Responsibilities

• Data Strategy & Leadership: Define and implement a company-wide data strategy aligned with business objectives. Act as a key advisor on all data-related matters to the executive leadership team.
• Data Engineering & Architecture: Oversee the development and maintenance of a scalable and robust data infrastructure that enables seamless data collection, processing, and analysis.
• Analytics & Business Intelligence: Drive the adoption of data-driven decision-making across departments by implementing and enhancing analytics tools, dashboards, and reporting capabilities.
• Data Science & AI: Lead advanced analytics, machine learning, and AI initiatives to unlock new business opportunities and improve operational efficiencies.
• Data Governance & Compliance: Ensure data integrity, security, and regulatory compliance, establishing best practices in data privacy and ethical data use.
• Cross-functional Collaboration: Partner with Product, Engineering, Marketing, Finance, and other teams to integrate data solutions that enhance performance and innovation.
• Team Leadership & Development: Build, mentor, and scale a high-performing data team, fostering a culture of continuous learning and innovation.

Core Competencies and Skills

• 10+ years of experience in data leadership roles, with a proven track record of driving data strategy in high-growth environments.
• Strong leadership and team-building skills, with the ability to inspire and develop top-tier data professionals.
• Strong expertise in data engineering, analytics, data science, and governance.
• Hands-on experience with cloud-based data architectures (AWS preferred) and modern data stack technologies (e.g., Snowflake, BigQuery, Databricks, DBT, etc.).
• Deep understanding of machine learning, AI, and predictive analytics applications in business is a plus.
• Experience working in regulated environments (e.g., finance, healthcare) is a plus.
• Excellent communication skills, with the ability to translate complex data insights into actionable business strategies.

Important Notice

Important Notice: By submitting your application for this position, you acknowledge and consent to the completion of a comprehensive background check as a mandatory part of the final hiring process. This procedure is essential to uphold the standards and integrity of our organization. We appreciate your cooperation and understanding.