VP of Data Analytics - Equity Only
VP of Data Analytics - Equity Only
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Job Description
PLEASE NOTE THIS IS AN EQUITYONLY ROLE AND THE INTERVIEWS WILL COMMENCE IN FEBRUARY 2025.
StealthMode StartUp 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 largescale 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 platforms growth scalability and user engagement goals.
- Build mentor and oversee a highperforming 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 realtime data processing.
- Define and monitor key performance indicators (KPIs) to evaluate platform health user engagement and datadriven 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 decisionmaking 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 largescale complex environments.
- Excellent command of the English Language in all forms.
- Previous startup 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.
- Handson experience building scalable data pipelines and architectures (e.g. using tools like Spark Hadoop Kafka).
- Ability to align data strategies with longterm business goals while balancing shortterm deliverables.
- Indepth 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 nontechnical 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 bigpicture goals with daytoday operational execution.
- Passionate about leveraging data for meaningful business and user insights.
- Detailoriented with a strong focus on accuracy compliance and performance monitoring.
- A leader who thrives on building highperforming 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
Equityonly at present to transition to a salaried fulltime 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.
Employment Type
Full Time
