Enterprise SaaS / Integration Platform

OEM Integration Platform

Supported product strategy, analytics, delivery coordination, and measurement readiness for a high-volume SaaS integration platform serving automotive OEMs and dealership networks.

Project Overview

The OEM Integration Platform supported data exchange and digital-service integrations across automotive original equipment manufacturers and dealership endpoints. My work focused on product analytics, behavioral insights, delivery coordination, backlog readiness, and data-informed roadmap prioritization.

Business focus: Transform platform-usage data and customer interaction patterns into measurable product insights that supported experience improvements, scalable integrations, and delivery priorities.

Platform Scale

75M+ Monthly Transactions Analyzed
15+ OEM Integrations Supported
25,000+ Dealership Endpoints
$55M+ Annual Recurring Revenue Platform

Key Contributions

Product Analytics

Analyzed user interaction data across digital scheduling and service applications to identify feature-adoption patterns, session depth, experience gaps, and funnel drop-off points.

Roadmap Prioritization

Conducted quantitative product discovery and platform-usage analysis to provide evidence supporting roadmap decisions for OEM integration capabilities.

Measurement Readiness

Embedded event-tracking requirements and analytics acceptance criteria into product backlogs so teams could measure feature performance after release.

Agile Delivery

Supported Agile delivery through user stories, backlog refinement, cross-functional coordination, sprint planning, and release-cycle management.

Enterprise Integration

Worked within a high-throughput SaaS environment that connected multiple enterprise systems, OEMs, dealership applications, and customer-facing digital-service workflows.

Stakeholder Communication

Translated quantitative findings and technical delivery requirements into actionable recommendations for product, engineering, operations, and leadership stakeholders.

Product Delivery Workflow

1. Discover and define

Partnered with product and delivery teams to clarify user needs, integration dependencies, platform requirements, and measurable business outcomes.

2. Instrument and measure

Defined tracking requirements, success metrics, adoption indicators, and analytics acceptance criteria as part of product backlog planning.

3. Analyze platform behavior

Evaluated usage data, feature adoption, transaction trends, and funnel drop-offs to identify areas for improvement and prioritization.

4. Inform delivery decisions

Shared insights with stakeholders to support roadmap prioritization, product enhancements, scalable integration delivery, and user-experience improvements.

Skills Demonstrated

Enterprise SaaS OEM Integrations Product Analytics SQL Data Analysis Product Roadmaps Agile Delivery Scrum Jira Azure DevOps User Stories Acceptance Criteria Behavioral Analytics Funnel Optimization

Professional Impact

This experience demonstrates my ability to work at the intersection of product strategy, enterprise technology, analytics, Agile delivery, and stakeholder communication. It reflects a data-driven approach to improving integrated digital platforms at significant transaction and revenue scale.