SVP Data

THE SEARCH:

Altus Partners are excited to be partnered with an investor-backed Software Unicorn which has secured significant funding from some of the world’s leading Private Equity, and Venture Capital funds. The business has a global presence and this role can be based either from London, Madrid, or Oslo.

The information below covers the role requirements, expected candidate experience, and accompanying qualifications.

My client are seeking an experienced, innovative and energetic SVP Data to shape their end-to-end data vision, and unlock the power of the data they gather across their ecosystem, which supports many thousands of transactions per hour.

As part of the senior leadership team, and reporting directly into the CTO, this individual needs to be a leader who not only excels in the technical dimensions of data and AI but is also visionary in using data to propel business growth, enhance customer experience, and drive digital transformation.

THE ROLE:

• Leverage data in creative ways to drive business growth and operational excellence
• Manage complex high-volume transactional data systems, understanding the challenges and opportunities of scaling in such environments
• Hire, mentor, and lead a team of data scientists, analysts, and data engineers in a fast paced entrepreneurial environment
• Implement AI and machine learning models into business processes to drive efficiency and innovation
• Effectively communicate complex technical concepts to non-technical senior stakeholders
• Innovate via the latest industry trends and advancements in analytics tools and technologies and evaluate their potential to improve data and AI capabilities
• Drive a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement

THE REQUIREMENTS:

• Minimum of 10 years of experience in data science, analytics, and/or business consulting
• Deep understanding of and hands-on experience with data technologies including SQL/NoSQL databases, data warehousing solutions, data lakes, and cloud-based analytics platforms
• Excellent knowledge of data protection regulations and the ability to implement frameworks that ensure data integrity, confidentiality and compliance
• The desire to ‘build’
• Advanced Degree in Data Science, Computer Science, or related field