VP of Data & Analytics - Equity Only

Rosie's People
London
1 year ago
Applications closed

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

Stealth-Mode Start-Up Client is seeking aVice President (VP) of Data & Analyticstolead, define, and execute the data strategyfor an ambitiousglobal platform. This role will overseedata infrastructure, advanced analytics, AI/ML initiatives, andstrategic data insightsto drive platform growth, optimize user engagement, and inform critical business decisions.

The ideal candidate will have extensive experience leadinglarge-scale data and analytics teams, with aPhD in Data Science, Analytics, or Machine Learning, and a proven track record oftransforming 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 acomprehensive data strategyaligned with the platform's growth, scalability, and user engagement goals.
  • Build, mentor, and oversee ahigh-performing Data & Analytics team, including Data Scientists, Data Engineers, Machine Learning Engineers, and Analysts.
  • Implementdata analytics frameworksto extract actionable insights, predict trends, and identify growth opportunities.
  • Oversee the development and deployment ofAI/ML algorithmsfor personalized recommendations, fraud detection, user behaviour analysis, and platform optimization.
  • Design and maintain ascalable data infrastructurecapable of handlinglarge datasetsand supportingreal-time data processing.
  • Define and monitorkey performance indicators (KPIs)to evaluate platform health, user engagement, and data-driven business objectives.
  • Work closely withProduct, Engineering, Marketing, and Leadership teamsto ensure data informs product and business strategies effectively.
  • Develop and enforcedata governance policiesto ensure compliance with global regulations (GDPR, CCPA) and industry best practices.
  • OverseeA/B testing frameworksto evaluate product features, optimize user experiences, and drive strategic decisions.
  • Lead the creation ofpredictive analytics modelsto forecast trends and behaviours.
  • Provide the executive team withclear, actionable data insightsto guide strategic decision-making and investment priorities.

Requirements:

  • PhD in Data Science, Analytics, Machine Learning, or a related fieldis strongly preferred.
  •  Minimum8+ yearsof experience leadingdata and analytics teamsin large-scale, complex environments.
  • Excellent command of the English Language in all forms.
  • Previous start-up experience would be an advantage. 
  •  Strong expertise indata analytics platforms (e.g., Tableau, Looker, Power BI)and programming languages such asPython, R, SQL.
  • Proven experience deployingAI/ML modelsfor personalization, fraud detection, and predictive analytics.
  • Hands-on experience buildingscalable data pipelines and architectures(e.g., using tools like Spark, Hadoop, Kafka).
  • Ability to align data strategies withlong-term business goalswhile balancing short-term deliverables.
  • In-depth knowledge ofdata privacy regulationssuch asGDPR, CCPA, ISO 27001.
  • Experience overseeingA/B testing methodologiesand experimentation programs.
  • Exceptional leadership abilities with experience mentoring technical and non-technical team members.
  • Strong communication skills with the ability to translatecomplex data findings into actionable business insightsfor executives and stakeholders.

Ideal Candidate Profile:

  • Astrategic thinkerwho can balance big-picture goals with day-to-day operational execution.
  • Passionate aboutleveraging data for meaningful business and user insights.
  • Detail-oriented with a strong focus onaccuracy, compliance, and performance monitoring.
  • A leader who thrives onbuilding high-performing data teamsand fostering a culture ofdata excellence.
  • Continuously curious aboutemerging data technologies and AI trends, and how they can be applied effectively.
  • Skilled at influencing stakeholders and communicating complex data insights in aclear 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.



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