Roles
Roles
Intern, Consumer Strategy & Ventures
Intern, Consumer Strategy & Ventures
Timeline
Timeline
June to August 2026
Skills
Skills
Product & UX Strategy + AI Workflow Design
M&A + Market Entry Strategy
Revenue Modeling + Monetization Strategy
Summary
Summary
Summary
For more than a century, The Wall Street Journal has defined how the world reads business. At Dow Jones, I joined Consumer Ventures, the team charged with what comes next: taking WSJ beyond journalism into an AI-forward business intelligence platform. Over 9 weeks, I was tasked with turning that authority into entirely new revenue.
For more than a century, The Wall Street Journal has defined how the world reads business. At Dow Jones, I joined Consumer Ventures, the team charged with what comes next: taking WSJ beyond journalism into an AI-forward business intelligence platform. Over 9 weeks, I was tasked with turning that authority into entirely new revenue.
For more than a century, The Wall Street Journal has defined how the world reads business. At Dow Jones, I joined Consumer Ventures, the team charged with what comes next: taking WSJ beyond journalism into an AI-forward business intelligence platform. Over 9 weeks, I was tasked with turning that authority into entirely new revenue.
The question was where WSJ should build, partner, monetize, and scale. My work fed directly into what the company prototyped, which deals it pursued, and which new businesses earned a place under the WSJ masthead.
The question was where WSJ should build, partner, monetize, and scale. My work fed directly into what the company prototyped, which deals it pursued, and which new businesses earned a place under the WSJ masthead.
The question was where WSJ should build, partner, monetize, and scale. My work fed directly into what the company prototyped, which deals it pursued, and which new businesses earned a place under the WSJ masthead.
What I did
What I did
What I did
Prototyped a ‘liquid’ thesis around a morning intelligence habit, and translated the “authority + personality + utility” value prop into tangible and feature ideas that yielded a full product experience. Reverse-engineering successful video workflows then revealed how AI and DJ’s proprietary data could revolutionize video, from agent-built rough cuts to clip-to-paywall matching. That shaped a modular tech stack balancing internal builds with where recruited partners could accelerate the roadmap.
Prototyped a ‘liquid’ thesis around a morning intelligence habit, and translated the “authority + personality + utility” value prop into tangible and feature ideas that yielded a full product experience. Reverse-engineering successful video workflows then revealed how AI and DJ’s proprietary data could revolutionize video, from agent-built rough cuts to clip-to-paywall matching. That shaped a modular tech stack balancing internal builds with where recruited partners could accelerate the roadmap.
Prototyped a ‘liquid’ thesis around a morning intelligence habit, and translated the “authority + personality + utility” value prop into tangible and feature ideas that yielded a full product experience. Reverse-engineering successful video workflows then revealed how AI and DJ’s proprietary data could revolutionize video, from agent-built rough cuts to clip-to-paywall matching. That shaped a modular tech stack balancing internal builds with where recruited partners could accelerate the roadmap.
Drove M&A on a new wave of fintech turning market data into an investor edge, from congressional and insider-trade trackers to options-flow analytics and AI wired directly into users’ financial accounts. Built the evaluation framework end to end, exposed gaps between data depth and monetization, and debunked overstated claims underpinning different investment cases.
Drove M&A on a new wave of fintech turning market data into an investor edge, from congressional and insider-trade trackers to options-flow analytics and AI wired directly into users’ financial accounts. Built the evaluation framework end to end, exposed gaps between data depth and monetization, and debunked overstated claims underpinning different investment cases.
Drove M&A on a new wave of fintech turning market data into an investor edge, from congressional and insider-trade trackers to options-flow analytics and AI wired directly into users’ financial accounts. Built the evaluation framework end to end, exposed gaps between data depth and monetization, and debunked overstated claims underpinning different investment cases.
Conceived sponsor-funded, journal-branded products for the Latino business community, defining its offerings, business model, and GTM; turned the playbooks of top-earning independent voices and media businesses into a strategy built on new formats and premium revenue; retooled WSJ’s student conversion model to close the graduation cliff through B2B2C and lifecycle levers.
Conceived sponsor-funded, journal-branded products for the Latino business community, defining its offerings, business model, and GTM; turned the playbooks of top-earning independent voices and media businesses into a strategy built on new formats and premium revenue; retooled WSJ’s student conversion model to close the graduation cliff through B2B2C and lifecycle levers.
Conceived sponsor-funded, journal-branded products for the Latino business community, defining its offerings, business model, and GTM; turned the playbooks of top-earning independent voices and media businesses into a strategy built on new formats and premium revenue; retooled WSJ’s student conversion model to close the graduation cliff through B2B2C and lifecycle levers.
Reframed WSJ’s India strategy, exposing its ICP-payment mismatch and the gap between “nice-to-have” global coverage and daily utility, then defined the India-native product layer to close it: WhatsApp-first distribution, value transparency, and family plans.
Reframed WSJ’s India strategy, exposing its ICP-payment mismatch and the gap between “nice-to-have” global coverage and daily utility, then defined the India-native product layer to close it: WhatsApp-first distribution, value transparency, and family plans.
Reframed WSJ’s India strategy, exposing its ICP-payment mismatch and the gap between “nice-to-have” global coverage and daily utility, then defined the India-native product layer to close it: WhatsApp-first distribution, value transparency, and family plans.
Results
Earned a CEO presentation for a new product prototype and C-suite escalation of recommendations and builds.
Significantly altered a multi-million-dollar acquisition by stress-testing the deal’s core thesis against ~32 next gen fintech platforms, from sub-$1M startups to $100M+ businesses.
Earned a CEO presentation for a new product prototype and C-suite escalation of recommendations and builds.
Significantly altered a multi-million-dollar acquisition by stress-testing the deal’s core thesis against ~32 next gen fintech platforms, from sub-$1M startups to $100M+ businesses.
Earned a CEO presentation for a new product prototype and C-suite escalation of recommendations and builds.
Significantly altered a multi-million-dollar acquisition by stress-testing the deal’s core thesis against ~32 next gen fintech platforms, from sub-$1M startups to $100M+ businesses.
Developed 20+ AI automation opportunities across a 4-phase production stack and ~10 tools and vendors.
Synthesized 100+ media entities (15+ media companies, ~70 creators, and the top 30 Substack and Beehiiv businesses) into 8 audience-specific product offerings and strategies.
Delivered 20 projects across 5 workstreams in 9 weeks, built a cross-functional network through 22+ coffee chats, leaving with a skill stack spanning product, AI workflow design, M&A, market entry, and revenue modelling.
Developed 20+ AI automation opportunities across a 4-phase production stack and ~10 tools and vendors.
Synthesized 100+ media entities (15+ media companies, ~70 creators, and the top 30 Substack and Beehiiv businesses) into 8 audience-specific product offerings and strategies.
Delivered 20 projects across 5 workstreams in 9 weeks, built a cross-functional network through 22+ coffee chats, leaving with a skill stack spanning product, AI workflow design, M&A, market entry, and revenue modelling.
Developed 20+ AI automation opportunities across a 4-phase production stack and ~10 tools and vendors.
Synthesized 100+ media entities (15+ media companies, ~70 creators, and the top 30 Substack and Beehiiv businesses) into 8 audience-specific product offerings and strategies.
Delivered 20 projects across 5 workstreams in 9 weeks, built a cross-functional network through 22+ coffee chats, leaving with a skill stack spanning product, AI workflow design, M&A, market entry, and revenue modelling.