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This is a unique and senior opportunity to join our growing Fintech Foundation team. We are responsible for optimizing pricing for all ancillary products we sell, balancing customer demand with the financial risks we take on. We help our product teams deliver new fintech products to market faster, respond rapidly to changing market conditions, run continuous champion-challenger testing on product construction levers, and maintain our growing portfolio of pricing models across dozens of partners. As a Pricing Analytics Architect, you will be the driving force behind our next generation of data and self-service capabilities. Your primary mandate will be to architect, implement, and operate AI-powered self-service analytics platforms to empower our internal product and revenue stakeholders. You will act as a hands-on technical Product Manager for our internal data and analytics tools, balancing stakeholder needs with technical feasibility and data architecture integrity. This role plays a key part in strategic development by shaping the underlying data architecture to ensure quality, scalability, and performance, enabling faster and more reliable pricing and product decisions.
Job Responsibility:
Architect and build production-ready, self-service dashboards, and automated analytical tools, integrating core AI/ML features to improve access and deliver novel insights and diagnostics
Lead the data quality and data architecture roadmap for the Fintech Foundation team's reporting systems, ensuring high fidelity and trusted data for all internal and partner-facing analytics
Act as the primary technical point of contact for internal business stakeholders, translating complex analytical needs into technical specifications and managing the feature backlog for the analytics platform
Grow use of our data platform through documentation, training, and a strong push towards self-service
Assess and develop prototypes for new analytical capabilities that we could potentially deliver to our growing list of external partners
Requirements:
Deeply curious with strong problem-solving ability, critical thinking, and attention to detail
Proven experience in architecting and implementing self-service business intelligence (BI) solutions or data products
Highly quantitative with advanced hands-on experience in SQL and data architecture/modeling
Strong understanding of financial metrics, data quality principles, and reporting tools like Looker or Tableau
Excellent communication, presentation, and stakeholder management skills with a strong technical PM slant
What we offer:
Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages
Carrot Cash travel stipend
Flexdesk All Access Pass & Work-from-home stipend
Entrepreneurial culture where pushing limits and taking risks is everyday business
Open communication with management and company leadership