Bid Intelligence & Automation Lead, Amazon Business - CPS

Key job responsibilities

• Build core decision-support tools: probability scoring models, sector-specific bid/no-bid frameworks
• Design and manage deal infrastructure: pipeline stages, capacity tracking, deal cycle instrumentation
• Build BI dashboards: WBR metrics, pipeline health, deal velocity, loss pattern visualization
• Integrate disconnected systems creatively — APIs, EDI, bots/RPA, middleware, or novel approaches
• Support a deal similarity engine: tag wins/losses with patterns, build recommendation logic for capture strategy
• Career development: coordinate with partner tech teams to connect Bid Capture workflows to their roadmaps
• Evaluate and pilot AI tools for proposal acceleration and capture intelligence

A day in the life

• Check pipeline alerts, validate scoring model accuracy against last week's outcomes, pull data for the team's weekly operating review
• Build an automated qualification bot that screens new opportunities and routes them; troubleshoot an integration where an upstream system changed format; prototype a "deal similarity" feature that surfaces past wins matching a new RFP
• Calibrate a sector scoring model with a team lead, pilot a new AI tool against real deals, push a dashboard update live
• Prep pipeline digest, new opportunities, expiration signals, re-engagement candidates

Basic Qualifications

• 5+ years of developing, negotiating and executing business agreements experience
• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
• Bachelor's degree
• Experience managing programs across cross functional teams, building processes and coordinating release schedules
• Experience explaining complex technical concepts to various business and technical audiences

Preferred Qualifications

• Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate
• Experience interpreting data and making business recommendations across leadership and cross-functional teams