Christophe Williams, Product Manager in Arlington, VA, United States
Christophe is available for hire
Hire Christophe

Christophe Williams

Verified Expert  in Product Management

Product Manager

Arlington, VA, United States

Toptal member since June 2, 2020

Bio

Christophe has led product development in three data-intensive startups and held technical product management and data science roles at Capital One, Amazon, and the 2012 Obama campaign. His expertise includes finance, marketing, and retail products, and he specializes in using data analysis to build and improve products. Christophe holds an MBA from Wharton Business School and a BA in mathematics from Williams College.

Project Highlights

Topic Modeling for a Sales Intelligence Platform
I built an end-to-end system for modeling news article topics for hud.ai, an AI-enabled sales intelligence platform. I led the roadmap, development, deployment, and maintenance of the model, ensuring an efficient operation for millions of articles.

Expertise

  • Agile
  • B2B
  • Data Analytics
  • Data Science
  • Financial Modeling
  • Fintech
  • Machine Learning
  • Tableau

Work Experience

CEO

2019 - PRESENT
Cedar Labs
  • Led a data science consulting practice focusing on data strategy, data product development, and growth-oriented data services.
  • Served as a fractional chief data officer for early-stage startups where I set strategy, built capabilities and products, and hired talent.
  • Supported user acquisition, forecasting, resource allocation, and product development. I specialized in fintech and SaaS companies.
  • Offered the following services: strategy, governance, hiring data teams, architecture, predictive analytics, time series analysis, regression, classification, recommendation systems, machine learning, natural language processing, ETL, and pipelines.

General Manager, HUD.ai and Lead Data Scientist

2018 - 2019
Foundry.ai
  • Served as the general manager of hud.ai (the second oldest portfolio company within the Foundry.ai startup studio). I led the product roadmap, data science, business development, and customer success.
  • Developed dozens of new feature sets/models across the full stack, coordinating in-house and offshore developer teams and doubling sales. I executed a pivot in product strategy, built new products, and developed go-to-market strategies.
  • Built NLP models with TensorFlow and Scikit-learn, deployed using Docker and Serverless/Lambda, and scaled with Node and Elasticsearch.

Co-founder, Head of Product

2016 - 2018
CitySense Technologies
  • Provided SaaS analytics services to water utilities to reduce lost revenue.
  • Developed the most popular product, which forecasted resource usage and identified deviations in order to pinpoint equipment degradation.
  • Built an MVP and beta app and launched it in three pilot cities.
  • Won third place at the Penn Wharton Startup Competition ($35,000), Summer Venture Award ($10,000), and Innovation Fund ($1,500).

Senior Product Manager (MBA Intern), US Marketplace

2017 - 2017
Amazon
  • Designed and built machine learning models to target grocery and CPG items to fast-growing Amazon shopper segments.
  • Led partner teams around the world to implement and refine models that were scaled to three international markets.
  • Coordinated technical and non-technical teams during scoping, development, and planning for rollout.

Product Manager

2013 - 2016
Capital One
  • Led acquisitions of high-spending consumers across the company’s flagship products, Venture and Quicksilver.
  • Created an innovative model connecting the effects of offline and online marketing. I obtained a $10 million testing budget to conduct a full analysis and led a small team to analyze the results.
  • Delivered key learnings to the CEO and board, driving millions in annual value. I developed the product strategy for Quicksilver, a market-leading cash rewards card, increasing new customers through digital channels by 40% annually.
  • Designed and launched multimillion-dollar campaigns to acquire customers and build brand value in high-impact markets. I coordinated six internal and external teams and received a promotion within nine months after joining the team.
  • Oversaw credit card loss forecasting using advanced financial models in multibillion-dollar credit portfolios.
  • Managed a biannual stress test on $70 billion in card loans, coordinating the process across 15 people and producing a white paper for the Federal Reserve.
  • Received promotions from earlier roles as a business manager and a senior business analyst.

Statistical Modeling Analyst

2012 - 2012
Obama for America
  • Developed finely tuned models of voter turnout and candidate support in 2012 battleground states.
  • Mined massive voter-level datasets with 1,000+ data fields such as demographics, voting history, household information, and third-party data.
  • Discovered prediction discrepancies and created new models that overcame poor state data in key variables such as age and party registration.

Project History

Topic Modeling for a Sales Intelligence Platform

I built an end-to-end system for modeling news article topics for hud.ai, an AI-enabled sales intelligence platform. I led the roadmap, development, deployment, and maintenance of the model, ensuring an efficient operation for millions of articles.

I executed the following:
• Conducted user interviews to qualify needs and scope the project
• Sourced training data
• Cleaned and preprocessed data
• Developed and iterated on the topic hierarchy
• Built, validated, and evaluated models, choosing the gradient-boosted decision tree approach based on sentence-vectorized embeddings
• Dockerized models for serving at an API endpoint
• Built new data tables and API logic to score hundreds of thousands of articles and store scores in RDS and Elasticsearch
• Updated the UI/UX to incorporate topic models and fine-tuned them through additional user interviews

Education

2016 - 2018

MBA in Management

The Wharton School - Philadelphia, PA, USA

2006 - 2010

Bachelor of Arts Degree (Hons) in Mathematics

Williams College - Williamstown, MA, USA

Skills

Tools

Tableau, Jira, Jupyter, GitHub, Asana, Trello, Slack, Zoom

Paradigms

Agile, Agile Product Management

Other

Microsoft Excel, Python, Data Science, Machine Learning, Fintech, Business Analysis, Financial Analysis, Product Development, Databases, Back-end, Product Marketing, Product Management, Software Architecture, Data, Data Analysis, Data Analytics, Artificial Intelligence (AI), Product Design, Data Pipelines, Product Roadmaps, Product Strategy, Amazon Web Services (AWS), B2B, Web App Development, Financial Modeling, Program Management, Architecture, Data Visualization, Data Warehousing, User Experience (UX), UI Design, User Journey Maps, UX Design, Data Warehouse Design, Node.js

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring