AI-Driven RevOps & GTM Infrastructure

Role: Marketing Manager & GTM Systems Lead (Project-Based)

Mandate: Engineer a high-velocity pivot from legacy acquisition models to a scalable, AI-led "Fintech-as-a-Service" infrastructure. 

The Narrative: In a saturated financial landscape, growth requires architectural innovation. I was brought in to move the company beyond standard marketing and into a data-led, automated ecosystem.

The Solution: "Right Track" Architecture. While my methodology focuses on human-centric design, this initiative was driven by rigorous technical analysis, AI-driven market intelligence, and a technical SEO architecture.

Key Deliverables:

• Market Intelligence Analysis: I spearheaded a data-backed strategic analysis to identify a $522B market gap within the automotive finance sector.
• Strategic Roadmap (The Blueprint). I authored the tactical stakeholder roadmap for integrating Generative AI into the acquisition funnel. (An excerpt of this "Right Track" Marketing Analysis Stakeholder Report can be seen below). All proprietary data has been scrubbed or generalized for public case study purposes.
• AI-Driven RevOps: I deployed a "Low-Cost, High-Velocity" architecture that leveraged Python-based automation to capture high-intent traffic autonomously

Results:

• Operational Efficiency: Automated output exceeded the combined capacity of all human SDR teams.
• Lead Velocity: Scaled to 300+ Qualified Leads (SQLs) booked per month.
• Strategic Growth: Established a structural baseline for 100% Month-over-Month projected growth and reduced CAC by 66% through system efficiency.

"Right Track" Documentation Below: Excerpt of Marketing Analysis Stakeholder Report. This document outlines the technical analysis and market intelligence used to secure executive buy-in.

[DOCUMENTATION]