Howie Ruan

About Howie Ruan

I lead AI-enabled revenue and operating model transformation at the intersection of business architecture, competitive GTM strategy, and commercial execution. I help leadership teams move beyond strategy decks by translating business priorities, competitive insight, and technical requirements into the workflows, dashboards, KPI frameworks, operating rhythms, and field-facing mechanisms required to improve execution, strengthen forecast visibility, and drive measurable outcomes. How I drive value Revenue Engine Optimization: Sharpen product-channel fit and match seller capability to product and deal complexity to improve conversion and resource efficiency. Competitive GTM Strategy: Turn competitive insight and technical differentiation into positioning, battlecards, objection handling, and named-deal support that help teams win complex opportunities. Operating Visibility: Build KPI frameworks and Salesforce→BI systems that turn data into action and improve forecast discipline. Cross-Functional Execution: Reduce drag across Sales, Marketing, Product, Ops, and partner teams to improve coordination, execution quality, and scalability. AI-Enabled Productivity: Balance automation with human judgment so AI improves throughput and decision quality without weakening accountability. Business-Technology Translation I align leadership intent to technical implementation by understanding the business objective, execution bottleneck, customer-facing sales motion, and system constraints simultaneously—helping organizations adapt faster and compete more effectively in strategic deals. Recent impact Human-AI Leverage Framework: Designed a dashboard-driven model guiding automation vs. augmentation decisions, enabling a shift from headcount-led to output-led scaling. Multi-Sided Growth Ecosystem: Developed a skilling-lab model connecting enterprises and higher-ed partners to bridge capability gaps and create a more durable GTM advantage. LLM Evaluation & Reliability: Engineered prompts and weighted rubrics to stress-test Deep Research LLM workflows across factual accuracy, reasoning quality, and source grounding—cutting human review time by 80% while maintaining quality. Core expertise Business Architecture • Competitive GTM Strategy • Revenue Engine Optimization • Operating Model Transformation • KPI/Data Governance • Forecasting Rigor • Cross-Functional Execution • Prompt Engineering • Rubric Design • LLM Evaluation

Experience

1. Principal Ai Consultant

   Pearson

   Mar 2024 — Present · Sunnyvale, CA, US

   Built an MVP for a quantitative workforce framework (WAI) to assess roles defined in O*NET, Indeed Ads against automation/AI and translated research into measurable metrics, dashboards, and decision criteria for stakeholders.• Developed an AI ecosystem strategy connecting industry demand to higher-ed curriculum; created segmentation, ICP hypotheses, and GTM narratives, skilling platform prototype to support partner conversations.• Applied analytics + AI to optimize e-commerce funnel performance, improving conversion rates via KPI instrumentation and iteration.• Assessed acquisition targets through structured market analysis and opportunity qualification.

Education

• University of South Florida

  MSEE, Applying AI to Speech Recognition, DSP&Telecommunications

• The University of Kansas

  BSEE, Software Engineering

• The University of Chicago Booth School of Business

  Master of Business Administration (MBA), Finance, Entrepreneurship, Marketing and Strategy