Salary
💰 $199,000 - $265,000 per year
About the role
- Lead Product Strategy & Vision: Drive the roadmap for foundational data platforms to unify data entities, optimize payment intelligence, and enable a trusted customer intelligence framework.
- Build the Data Backbone: Establish scalable, high-quality data ingestion and processing pipelines that power analytics, AI models, and business-critical decisions across WEX.
- Deliver Enterprise Intelligence: Transform raw data into actionable insights through APIs, dashboards, and embedded intelligence—enabling teams in finance, product, and operations to optimize revenue, detect anomalies, and innovate confidently.
- Enable Scalable Decision-Making: Develop and maintain entity linkages (prospect to customer lifecycle), product hierarchies, and transaction signals that serve as the foundation for Customer 360, risk management, and portfolio strategy.
- Cross-Functional Leadership: Partner with executive leaders in Product, Technology, Operations, and GTM - to align business priorities with technical delivery.
- Team Leadership: Mentor and scale a high-performing team of product managers and data experts, fostering a culture of ownership, innovation, and delivery excellence.
- Balance Speed and Strategy: Execute on near-term priorities (e.g., payment intelligence, ingestion scalability) while laying the groundwork for future growth.
- Governance & Metrics: Embed data quality, telemetry, and performance metrics into every platform to ensure trusted, reliable data and measurable outcomes.
Requirements
- 10+ years of leadership experience in data, with proven success in foundational data platforms or enterprise intelligence systems
- Technical & Product Expertise: Strong understanding of data ingestion pipelines, entity resolution, customer hierarchies, and transactional data
- Strategic Leader: Ability to translate complex business requirements into clear product roadmaps that drive measurable business outcomes
- Cross-Functional Influence: Skilled in aligning technical teams and business stakeholders, balancing priorities across multiple domains
- Execution Excellence: Hands-on experience building and scaling internal data platforms with multi-million-dollar impact (e.g., operational efficiency, revenue optimization, risk mitigation)
- Analytical Mindset: Deep understanding of data lifecycles - data ingestion, transformation, signal generation, and intelligence delivery
- Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; Master’s preferred
- Bonus Points: Experience with payment systems, customer 360 frameworks, or product hierarchy management; Familiarity with workflow automation, APIs for data delivery, or enterprise data platforms; Background in building centralized data services that scale across diverse business lines