VP of Data & Analytics - Equity Only

PLEASE NOTE THIS IS AN EQUITY-ONLY ROLE AND THE INTERVIEWS WILL COMMENCE IN FEBRUARY 2025.

Stealth-Mode Start-Up Client is seeking a Vice President (VP) of Data & Analytics to lead, define, and execute the data strategy for an ambitious global platform. This role will oversee data infrastructure, advanced analytics, AI/ML initiatives, and strategic data insights to drive platform growth, optimize user engagement, and inform critical business decisions.

The ideal candidate will have extensive experience leading large-scale data and analytics teams, with a PhD in Data Science, Analytics, or Machine Learning, and a proven track record of transforming data into actionable insights.

To apply, please provide a CV, your compensation requirements (including salary expectations for when funding is secured) and a cover letter/note that explains why you are interested and how you meet the requirements. Please note that submissions received without all the requested information will be automatically disqualified and rejected.

Key Responsibilities:

• Develop and execute a comprehensive data strategy aligned with the platform's growth, scalability, and user engagement goals.
• Build, mentor, and oversee a high-performing Data & Analytics team, including Data Scientists, Data Engineers, Machine Learning Engineers, and Analysts.
• Implement data analytics frameworks to extract actionable insights, predict trends, and identify growth opportunities.
• Oversee the development and deployment of AI/ML algorithms for personalized recommendations, fraud detection, user behaviour analysis, and platform optimization.
• Design and maintain a scalable data infrastructure capable of handling large datasets and supporting real-time data processing.
• Define and monitor key performance indicators (KPIs) to evaluate platform health, user engagement, and data-driven business objectives.
• Work closely with Product, Engineering, Marketing, and Leadership teams to ensure data informs product and business strategies effectively.
• Develop and enforce data governance policies to ensure compliance with global regulations (GDPR, CCPA) and industry best practices.
• Oversee A/B testing frameworks to evaluate product features, optimize user experiences, and drive strategic decisions.
• Lead the creation of predictive analytics models to forecast trends and behaviours.
• Provide the executive team with clear, actionable data insights to guide strategic decision-making and investment priorities.
  
  
  

Requirements:

• PhD in Data Science, Analytics, Machine Learning, or a related field is strongly preferred.
• Minimum 8+ years of experience leading data and analytics teams in large-scale, complex environments.
• Excellent command of the English Language in all forms.
• Previous start-up experience would be an advantage.
• Strong expertise in data analytics platforms (e.g., Tableau, Looker, Power BI) and programming languages such as Python, R, SQL.
• Proven experience deploying AI/ML models for personalization, fraud detection, and predictive analytics.
• Hands-on experience building scalable data pipelines and architectures (e.g., using tools like Spark, Hadoop, Kafka).
• Ability to align data strategies with long-term business goals while balancing short-term deliverables.
• In-depth knowledge of data privacy regulations such as GDPR, CCPA, ISO 27001.
• Experience overseeing A/B testing methodologies and experimentation programs.
• Exceptional leadership abilities with experience mentoring technical and non-technical team members.
• Strong communication skills with the ability to translate complex data findings into actionable business insights for executives and stakeholders.
  
  
  

Ideal Candidate Profile:

• A strategic thinker who can balance big-picture goals with day-to-day operational execution.
• Passionate about leveraging data for meaningful business and user insights.
• Detail-oriented with a strong focus on accuracy, compliance, and performance monitoring.
• A leader who thrives on building high-performing data teams and fostering a culture of data excellence.
• Continuously curious about emerging data technologies and AI trends, and how they can be applied effectively.
• Skilled at influencing stakeholders and communicating complex data insights in a clear and impactful way.
  
  
  

Compensation & Benefits

Equity-only at present, to transition to a salaried, full-time permanent position when funding is secured.

Remote and flexible working arrangements, the opportunity to be part of something potentially epic with potential opportunities for global travel, and access to industry conferences and workshops in due course.