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Product leader and applied AI/data professional with 3+ years as a Product Manager and 7+ years as a Data Scientist across B2B SaaS and fintech. Builds and ships AI products, leads 0-1 product vision and roadmaps, and uses rigorous measurement (A/B testing, funnel analysis) to drive revenue growth and cost reduction. Has led cross-functional teams, earned C-suite buy-in, and delivered measurable outcomes (e.g., modeled AI use cases projected to drive ~2% revenue increase and ~3% cost reduction YoY). Also founded a boutique data/AI consulting firm helping B2B SaaS clients generate high-value pipeline and recurring revenue opportunities.…Product leader and applied AI/data professional with 3+ years as a Product Manager and 7+ years as a Data Scientist across B2B SaaS and fintech. Builds and ships AI products, leads 0-1 product vision and roadmaps, and uses rigorous measurement (A/B testing, funnel analysis) to drive revenue growth and cost reduction. Has led cross-functional teams, earned C-suite buy-in, and delivered measurable outcomes (e.g., modeled AI use cases projected to drive ~2% revenue increase and ~3% cost reduction YoY). Also founded a boutique data/AI consulting firm helping B2B SaaS clients generate high-value pipeline and recurring revenue opportunities.

Robert Chen Lin Tan

Data Scientist, Data Analyst, AI Strategy Consultant

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Product leader and applied AI/data professional with 3+ years as a Product Manager and 7+ years as a Data Scientist across B2B SaaS and fintech. Builds and ships AI products, leads 0-1 product vision and roadmaps, and uses rigorous measurement (A/B testing, funnel analysis) to drive revenue growth and cost reduction. Has led cross-functional teams, earned C-suite buy-in, and delivered measurable outcomes (e.g., modeled AI use cases projected to drive ~2% revenue increase and ~3% cost reduction YoY). Also founded a boutique data/AI consulting firm helping B2B SaaS clients generate high-value pipeline and recurring revenue opportunities.…Product leader and applied AI/data professional with 3+ years as a Product Manager and 7+ years as a Data Scientist across B2B SaaS and fintech. Builds and ships AI products, leads 0-1 product vision and roadmaps, and uses rigorous measurement (A/B testing, funnel analysis) to drive revenue growth and cost reduction. Has led cross-functional teams, earned C-suite buy-in, and delivered measurable outcomes (e.g., modeled AI use cases projected to drive ~2% revenue increase and ~3% cost reduction YoY). Also founded a boutique data/AI consulting firm helping B2B SaaS clients generate high-value pipeline and recurring revenue opportunities.

Available to hire

Product leader and applied AI/data professional with 3+ years as a Product Manager and 7+ years as a Data Scientist across B2B SaaS and fintech. Builds and ships AI products, leads 0-1 product vision and roadmaps, and uses rigorous measurement (A/B testing, funnel analysis) to drive revenue growth and cost reduction.

Has led cross-functional teams, earned C-suite buy-in, and delivered measurable outcomes (e.g., modeled AI use cases projected to drive ~2% revenue increase and ~3% cost reduction YoY). Also founded a boutique data/AI consulting firm helping B2B SaaS clients generate high-value pipeline and recurring revenue opportunities.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Polish

Intermediate

Work Experience

Chief Executive Officer / Founder at High Point Insight (boutique data and AI consulting firm)

May 20, 2024 - Present

Founded a boutique data and AI consulting firm serving B2B SaaS companies. Built a distributed team of specialists across Canada and the Philippines. Partnered with C-suite leaders at enterprise SaaS clients to design high-value lead magnets and drive thousands of high-ticket leads, unlocking pipeline for billion-dollar companies. Collaborated with the President and CEO of a major SaaS company to identify a $50M recurring revenue opportunity through targeted customer segmentation and AI use-case discovery. Developed a productized service offering centered on customer segmentation/ICP definition and GEO/AEO strategies to help clients rank and get recommended in AI-powered search when prospects seek solutions aligned to provided services.

Product Manager - Data / AI at Wave HQ

September 1, 2023 - April 1, 2025

Led 0-1 product vision, strategy, and roadmap for Data/AI products. Identified and prioritized 18 AI use cases across 8 functions (e.g., bookkeeping copilot, knowledge copilots), refined them to 4 through analysis using R and SQL, and modeled selected cases to support a projected ~2% revenue increase and ~3% cost reduction YoY. Secured executive buy-in and collaborated with 11+ cross-functional stakeholders across marketing, sales, engineering, design, and ensured C-suite alignment across core business lines including P&C and engineering. Evaluated options via JTB D analysis, launched surveys, conducted executive/vendor interviews, and performed competitive analysis; leveraged 14 years of financial and firmographic data to prioritize the highest-value AI opportunities. Partnered with machine learning engineers to drive strategic build/buy decisions with vendors such as Google Vertex and AWS, focusing on viability and feasibility.

Product Manager - B2B Growth at Wave HQ

April 1, 2021 - August 1, 2023

Promoted to lead product strategy and roadmap for a B2B SaaS payroll product, growing it at 28% YoY while processing USD $2.7B on proprietary ACH rails. Acted as interim Director of Product during the incumbent’s medical leave, effectively leading a diverse team of 14 engineers, designers, financial operations staff, and compliance analysts. Launched a series of growth A/B experiments resulting in $450K incremental CLV, achieving an 8.5:1 LTV:CAC and increasing top-of-funnel by 2%. Orchestrated, with support from the VP of Strategy, a go/no-go $20M NPV decision to migrate the core payroll technology stack to a vendor; involved product strategy, data analysis, financial modeling, commercial negotiations, and technical migration oversight. Wrote formal recommendations to CEO/CTO/CFO and the Chief Strategy Officer.

Senior Data Insights Analyst at Wave HQ

November 1, 2018 - March 1, 2021

Changed business strategy for a major line of business by identifying and measuring opportunities across 9 distinct customer segments; reported findings to executives and directors and earned direct promotion to Product Manager. Conducted experimental analytics, SaaS product analytics, and go/no-go analyses on strategic expenditures totaling up to 6% of annual revenues.

Data Scientist (Freelance) at TopTal

September 1, 2018 - Present

Freelance data science platform role working with top-tier clients including BCG, F500 companies, and world-class universities. Guided PhD researchers at a premier U.S. university on strategic analysis of the impact of mass casualties on the U.S. healthcare system, spanning 916,752 hospital beds across 6,120 hospitals nationwide. Advised a Connecticut health insurance firm transitioning to a data-as-a-service model, including analysis of the effectiveness of a core algorithm as a data product. (Engagements also involved building/assessing data product capabilities and evaluation of algorithm performance.)

Senior Data Analyst at Aisle Labs

September 1, 2017 - October 1, 2018

Used WiFi signals to track foot traffic for retail property managers. Boosted Pearson Airport profits by 1.54% ($17M NPV) among the world’s busiest top 0.1% airports via gate assignment optimization using WiFi analytics and retail sales. Built full-stack data product dashboards using R Shiny based on WiFi signals and demographic data for clients across the USA, Canada, UAE, Qatar, and the UK.

Quantitative Analyst at Web Communications (Webcom Network)

August 1, 2016 - May 1, 2017

Traded stocks using real-time events and statistical anomaly detection. Used a supercomputer setup with a Bloomberg Terminal to extract, load, and transform 820M+ rows of tick-level data with R. Saved ~200 hours/month for a team of 5 by creating stock trading signals using statistical anomaly detection methods based on terabytes of financial data.

Marketing Lead at Sp arQ Labs

June 1, 2013 - May 1, 2015

Led 0-1 sponsorship efforts and secured funding from sponsors including Dassault Systèmes, Canadian Tire, and Elon Musk (CEO of Tesla Motors/SpaceX). Developed sponsorship assets and trained volunteer outbound salesforce. Also involved with a hardware start-up incubator for multiple startups, continuing to operate as SparQ Studios.