Michelle Ye
@michelleye
AI data consultant and product manager, turning discovery into measurable growth.
United StatesWhat I'm looking for
I’m an AI Data Consultant and Product Management professional who thrives at the intersection of product discovery, data, and GenAI. I lead stakeholder interviews, synthesize findings into executive-ready outputs, and turn messy inputs into repeatable decision frameworks.
At Artefact, I led enterprise product discovery for L’Oréal across 14 business streams, automating synthesis with a Claude prompt framework and cutting delivery cycles by 50%. I also built low-fidelity MVP logic to define a 3-phase strategic roadmap, and engineered data cleansing to recover $4M in global costs—driving $1M in direct savings with 100% campaign accuracy.
Previously at Mastercard, I drove a 35% expansion in pipeline opportunities through cross-functional GTM commercialization to scale a subscription management product across NAM and LATAM. I shipped an internal sales enablement data tool and ROI model used by regional teams, and accelerated discovery and user research by 50% by integrating GenAI Copilot workflows into business case and positioning outputs.
I’m energized by roles that demand strong product thinking and practical analytics—especially when I can help teams move from insights to execution. From competitive/UX research to KPI evaluation and dashboarding, I enjoy building tools that enable data-driven action for real users.
Experience
Work history, roles, and key accomplishments
Led enterprise product discovery for L’Oréal across 14 business streams, conducting 40+ stakeholder interviews and auditing 308 digital platforms to inform global product optimization. Engineered reusable Claude prompt workflows, built an Excel-based MVP, and implemented data cleansing to recover $4M in costs.
Drove a 35% expansion in pipeline opportunities by executing cross-functional GTM commercialization strategies for a subscription management product across NAM and LATAM. Shipped an internal sales enablement data tool and ROI model, and accelerated discovery and user research by integrating GenAI Copilot workflows.
Improved Global Findex Database utilization by 25% by defining user stories and building a self-service internal product adopted by 5+ cross-functional teams. Created data visualization deliverables for senior leadership, and evaluated KPIs via an Excel MVP to identify customer pain points and increase strategic product actions.
Product Management and Strategy Analyst
Spectrum Reach
May 2023 - May 2024 (1 year)
Led competitive and UX research on 12+ streaming platforms to deliver ad content recommendations to executive leadership focused on Gen Z engagement. Conducted research across digital ad products using interviews, surveys, and competitive analysis, and increased engagement with an internal competitive intelligence platform through data-driven content strategies.
Education
Degrees, certifications, and relevant coursework
Baruch College (CUNY) - Zicklin School of Business
Bachelor of Business Administration, Computer Information Systems (Data Analytics)
2025 -
Grade: 3.8/4.00
Pursuing a Bachelor of Business Administration in Computer Information Systems (Data Analytics) at Zicklin School of Business. Currently holds a 3.8/4.00 GPA.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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