VP of Data and AI

• Data & AI Vision: Define and execute Rapaport’s global data and AI strategy, transforming raw data into monetizable products and services.
• AI & ML Development: Lead the design, training, and deployment of AI/machine learning models across pricing, compliance, recommendation engines, and risk analysis.
• Data Infrastructure: Build and scale a modern data lake and cloud-based architecture to integrate internal and external datasets, enabling advanced analytics and model training.
• Governance & Trust: Implement best practices in data governance, security, integrity, and compliance, ensuring industry trust in Rapaport’s data products.
• Product Development: Partner with Product and Technology to design and deliver solutions including analytics platforms, APIs, compliance/KYC modules, and Rapaport Suggested Price.
• Commercialization: Develop monetization models for data and AI offerings, including premium subscriptions and enterprise solutions.
• Leadership: Build and lead a high-performing organization spanning data science, engineering, and analytics, while collaborating closely with product, technology, and commercial teams.

• Proven Leadership: 10+ years in data strategy, analytics, or product leadership, ideally in financial services, marketplaces, or SaaS.
• AI/ML Expertise: Proven experience developing and deploying AI/ML models and optimization algorithms across multiple domains, including pricing and recommendation systems.
• Data Engineering Mastery: Expertise in building and scaling data platforms and lakes that support AI, engineering, and analytics projects across an organization.
• Cloud & Tools: Experience with cloud ecosystems (preferably Amazon/AWS), data management services, and business intelligence tools (e.g., Qlik).
• Technical Skills: Strong knowledge of Python, AI/ML frameworks, NLP, and interpretability libraries to bring explainability to complex models.
• Data Strategy & Governance: Skilled at defining and implementing data strategy, governance, and management best practices.
• Commercial Mindset: Demonstrated ability to turn data into profitable products and recurring revenue streams.
• Communication & Influence: Ability to present complex data and AI insights clearly to non-technical stakeholders and build credibility with global industry players.
• Execution & Agility: Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced, dynamic environment.
• Values: High integrity, professionalism, and trustworthiness, with the credibility to lead data in a highly sensitive global industry.

Rapaport