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Location: Houston, Texas (TX)
Contract Type: C2C
Posted: 1 month ago
Closed Date: 11/10/2025
Skills: AI, Azure
Visa Type: Any Visa

Role: AI Data Product Lead

Duration: 6+ Months 

Location: Remote/ Houston, TX

Primary Skills : AI, Azure

 

Job Description: AI Data Product Lead 

  • Role Overview
  • Lead the development of a commercial data product leveraging payment, settlement, and dispute data, with a focus on predictive, prescriptive, and AI-driven analytics for merchants and independent software vendors.  
  • Key Responsibilities
  • Evaluate and understand the current Architecture and data to create scalable, modern analytics products.  
  • Collaborate with managed service providers and AI vendors (e.g., Wisdom AI, Copilot) to guide technical direction and ensure business alignment.  
  • Design and implement use cases for aggregated issuer data, benchmarking, and actionable insights for merchants (e.g., customer demographics, repeat business, competitor analysis, event-driven predictions).  
  • Build and prototype small, market-ready use cases, iterating based on feedback and evolving industry standards.  
  • Ensure data quality, governance, and security in all solutions, working within Azure environments (Cosmos, Synapse, Power BI, and potentially Microsoft Fabric).  
  • Provide help in developing generative and agentic models for business users to interact with data and receive automated insights and alerts.  
  • help bridge gaps between business vision and technical execution.  
  • Required Skills
  • Proven experience in data architecture, analytics, and AI/ML product development. 
  • Strong understanding of payment data, merchant analytics, and data privacy (PII, aggregation). 
  • Hands-on expertise with Azure data stack (Cosmos, Synapse, Power BI, Fabric). 
  • Ability to work in a startup environment with limited resources and high ambiguity. 
  • Leadership, vision, and the ability to translate business needs into technical solutions. 
  • Experience collaborating with external vendors and managed service providers. 
  • Preferred
  • Experience with restaurant or retail analytics. 
  • Familiarity with benchmarking, predictive modeling, and agentic AI solutions. 
  • Ability to design and implement data-driven products for commercial resale