Nick Lind, Product Manager in Denver, CO, United States
Nick is available for hire
Hire Nick

Nick Lind

Verified Expert  in Product Management

Product Manager

Location
Denver, CO, United States
Toptal Member Since
April 15, 2021

Nick has several years of product management and strategy consulting experience across the retail, consumer packaged goods (CPG), and healthcare industries. As an engagement manager in the strategy practice of Deloitte Consulting, Nick's helped executives at Fortune 500 companies launch and scale machine learning products with ROIs in excess of 200%. Nick enjoys wearing multiple hats, partnering with engineers to solve gritty tech problems, and working with users to build delightful products.

Project Highlights

Distributed Forecasting Product
Led the design and development of an interactive web app to help retailers and CPG companies predict and interpret consumer demand signals.

Expertise

Work Experience

Head of Product and Technology

2021 - PRESENT
Quantile Consulting Group
  • Launched a new web app to automate the demand forecasting process for retail and consumer product companies.
  • Led a team of four engineers to process over 10TB of event data and serve predictions using a distributed pipeline built with Python and Julia.
  • Owned feature development, the product roadmap, technology architecture, digital marketing, and SEO for the executive team.

Engagement Manager

2018 - 2020
Deloitte Taiwan
  • Received Deloitte’s highest client service award and full MBA sponsorship; earned top ratings on all cases and appraisals.
  • Designed, developed, and launched a new distributed machine learning (ML) product in Python, Spark, and Scala, generating $9 million in revenue to date across four consumer packaged goods (CPG) and retail companies (over $10 billion worth).
  • Secured a $20 million investment to scale distributed ML product across new use cases and sectors as the lead product manager; was responsible for guiding user interviews, product strategy, weekly sprints, and end-to-end delivery across client teams.
  • Led a team of 12 engineers to identify, prioritize, and deploy product enhancements using agile and CI/CD on GitHub, AWS, and Azure.
  • Managed five ML engineers to develop a sales recommendation engine in PySpark for a $25-billion consumer-packaged-goods (CPG) manufacturer; presented findings to CFO and secured an $11 million-to-scale pilot across the business.
  • Led design sessions with over 50 executives, data scientists, and end-users to develop an analytics strategy and roadmap for the CFO of a $15 billion CPG company, securing $2.5 million in roll-out funding from the CEO.
  • Drove $8 million in incremental retail sales by predicting and visualizing out-of-stock items during COVID-19 for a $20 billion CPG company.

Senior Data Scientist (Intern)

2017 - 2017
IBM
  • Led four Ph.D. researchers and engineers to develop a natural language processing (NLP) approach to product portfolio optimization using Python and spaCy; presented solution to SVPs and secured $700,000 in pilot funding to scale across the business.
  • Forecasted marketing effectiveness to within 8% of actuals using PyTorch GRUs for IBM’s chief analytics officer.
  • Directed 12 interviews and four design sessions with more than 50 users to understand pain points and shape a $700,000 request.

Consultant

2013 - 2016
Deloitte Taiwan
  • Synthesized a Fortune 500 manufacturer’s working capital data to identify $550 million in funds-flow improvements; also communicated insights to the board of directors using an interactive iPad prototype.
  • Spearheaded development and implementation of a new financial forecasting model for a $20 billion CPG company; supported the client through transformation, enabling successful transition and fulfilling a $60 million contract.
  • Partnered with executives at three Fortune 500 consumer products companies to develop 5-year strategies for digitally-enabled analytics; presented recommendations to stakeholders and secured funding for two follow-on pilots.

Distributed Forecasting Product

Led the design and development of an interactive web app to help retailers and CPG companies predict and interpret consumer demand signals.

Quantile is a web application and accompanying API that makes it easy and intuitive to predict future events. Quantile takes the guess-work out of the forecasting process, enabling non-technical analysts and seasoned data scientists alike to generate accurate, reliable forecasts.
2016 - 2018

Master of Business Administration (MBA) Degree in Business Administration

The Wharton School - Philadelphia, PA, United States

2009 - 2013

Bachelor's Degree in Econometrics and Mathematics

University of Colorado, Boulder - Boulder, CO, United States

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