Summary
Overview
Work History
Education
Skills
Websites
Prior Experience
Advisory Board
Hobbies and Interests
Timeline
Generic

John Young PhD

Overland Park,KS

Summary

Accomplished C-Level data & technology executive with extensive experience and expertise in data science, machine learning, data mobility, technology, and operational business services. A proven track record of successfully driving growth, optimizing business strategies, and implementing advanced technologies across various global organizations. A problem solver using a unique blend of data, technology, and business skills to bring people together, understand critical needs of customers, stakeholders, and business leaders to drive value. This aligns well with the goal of supporting organizations with the right data and technology strategies to ensure operational efficiency and productivity. A track record of team growth, global collaboration, and strategic planning demonstrate the ability to lead and drive success in complex business environments. Strategic and results-oriented business leader with experience in strategy, planning and operations. Skilled in developing and executing business plans to maximize profitability, streamline operations and maintain compliance with industry regulations. Proven people leader motivates and optimizes staff performance and productivity. Versatile Managing Director with proven abilities across all levels of organizational management. Talented in developing partnerships, overseeing personnel and developing tactical plans to meet strategic goals. Proven leader with significant background in DS/ML. Strong leader and problem-solver dedicated to streamlining operations to decrease costs and promote organizational efficiency. Uses independent decision-making skills and sound judgment to positively impact company success. Encouraging manager and analytical problem-solver with talents for team building, leading and motivating, as well as excellent customer relations aptitude and relationship-building skills. Proficient in using independent decision-making skills and sound judgment to positively impact company success. Dedicated to applying training, monitoring and morale-building abilities to enhance employee engagement and boost performance. Dedicated data professional with a history of meeting company goals utilizing consistent and organized practices. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. Collaborative leader with dedication to partnering with coworkers to promote engaged, empowering work culture. Documented strengths in building and maintaining relationships with diverse range of stakeholders in dynamic, fast-paced settings.

Overview

13
13
years of professional experience

Work History

Managing Director - Global Head of Data Science & Insights

BARINGS
01.2021 - 12.2022
  • As Chief Data Scientist, I was responsible for the firm’s data methods, processes, algorithms, and systems that provide analytic insights to help drive business strategies
  • Leading a global team of data professionals responsible for infusing data science, process automation, and data visualization/end-user software applications to extract signals and insights for the business
  • Enterprise Solutions – Automation of LLM based machine readable document (MRD) systems
  • Taiwan: The organization needed to automate buy/sell requests from fax machines, combine unstructured to structured, provide end user software to manage and finally integrate into investor tracking systems
  • Savings of $1m annually, time savings of 60% for 40 teammates
  • Private Real Estate: The Real Estate Debt team needed to automate the underwriting process, track payments, and integrate data into executive reporting systems
  • Savings of $8m in the 1st year, with time savings of 80% for 25 teammates in US
  • Global team growth from 3 to 70 over 16 mos, 11-direct repots across 5 teams, managing and analyzing 10’s of TBs of data across 4 continents (Unstructured, Semi-Structured, and Structured)

Chief Data & Scientific Officer

C2FO
09.2017 - 12.2020
  • Responsible for C2FO’s end to end data solutions with a strong focus on data architecture, data & machine learning science, business analytics, and overall global data strategy to support our teams around the world through software enablement
  • Machine Learning Algorithms Behavioral targeting ML algorithms driving 25X YoY growth for acquisition achieving $100m in company revenues for 2019, with an additional $96m through 8mos of 2020
  • New market pricing strategy with ML driven recommendations for customers in 160 countries achieving 14% growth in company revenues in the first quarter
  • Time savings of 40% through automated services for 75 client relationship managers globally Aligning strategic objectives with company revenues our team deployed a new global data system in the cloud across multiple regions (AMER, EMEA, India, and China) enabling customer facing teams (product, marketing, sales) a unified view across our data analytics platform
  • Built out global team from 6 to 60 over 24 mos, with teammates in AMER, EMEA, IN who ingested, managed, and processed ½ PB of data annually to support company growth & strategy.

Global VP Advanced Engineering & Data Science

SS&C Technologies
09.2013 - 09.2017
  • SS&C’s Applied Analytics Group was formed in 2013 to address unmet market needs for the Financial Services and Healthcare industries (Asset Management, Brokerage, Retirement, HealthCare, Retail, and Financial Services) Tasked as the head of a global organization to deploy data engineering, data and machine learning science, implement cutting edge solutions to support customer engagements and improve marketing effectiveness for AMER and AMEA
  • Our mission was to drive global penetration for new products and services with usable solutions for 80% of SS&C’s 20k global employee’s
  • With a $2.5M budget, our team worked cross functionally to drive $85M in ‘Net-New’ company revenues over 4-years
  • Including integrated software for DCIO reporting platforms for Advisors, Real-Time Compliance tool for Regulatory Compliance, and Machine learning driven recommendations for Advisors targeting retirement customers
  • Started as employee #1 for AAG building 4 teams across AMER & EMEA, processing 12 PB of data from mainframe systems to support new products & services
  • Built new Big Data Stack (Hadoop & Greenplum), lowering mainframe costs from $150m annually to $120m annually, with a budget of $1.5m for new technology platform.

Vice President Product Analytics

AUDIENCE.AI
09.2012 - 09.2013
  • Audience.ai enables brands and agencies to make smarter marketing decisions
  • The technology fuels insights relevant to content, consumer behavior, and marketing strategy ML algo’s generated 300% lift in CTR’s (i.e., targeting) by traversing our Interest Graph and Recommendations to Implicit Audiences across multiple social platforms, effectively expanding known Brand audiences and driving $30m for customers and $5m in company sales
  • Managed team of Machine Learning Scientists, Analytic Consultants, and platform Engineers
  • Provide strategic analytic support to client’s service division, working directly with clients like Samsung, P&G, Miller Coors, General Mills
  • Partnered with CTO to build new data platform & software solutions for ingesting & disseminating 5 TBs (Storm) of daily social data and providing deeper insights to brand marketers.

Global Vice President, Data Analytics & Applied Sciences

GIANT MEDIA
10.2009 - 09.2012
  • Giant Media is a performance-based advertising network that utilizes machine learning systems to connect advertisers with consumers across multiple channels, and working cross functionally with email, affiliate, social networks, mobile and contextual heavy display content
  • As head of DA, I ensured the team played a key role in growing gross margins through targeting and optimization for numerous channels & departments within the organization
  • Generated ROI of 52X – 300X for business by improving yield-based optimizations with targeted recommendation systems, equating to $500M in annual revenues over 3 years
  • Managed strategic decisions, cash flow, funding, interest optimizations, and large-scale platform decisions for processing ½ PB of data
  • Built and deployed real-time Analytics Platform (NOSQL) to manage 8-billion requests per day via multi-terabyte data platform
  • The platformed leveraged MPP, NOSQL, and distributed computing technologies for deep (in-DB) analytic solutions.

Education

Ph.D. - Applied Statistics

University of Northern Colorado
Greeley, CO
05.2006

Master of Science - Applied Statistics

University of Northern Colorado
Greeley, CO
08.2001

Bachelor of Science - Mathematics

University of Northern Colorado
Greeley, CO
12.1999

Bachelor of Science - Psychology

University of Northern Colorado
Greeley
12.1999

Skills

  • Data Integrator & Platform Enablement: AWS, AZURE, Hadoop, Spark, Databricks, Kafka, Event Based Architectures, SalesForcecom
  • IT Operator: Application Dev, Infrastructure, Business Continuity, Security, & Compliance
  • Data Orchestration & Decision Intelligence: Databricks, PowerBI, Kyvos, SaaS, Greenplum
  • Business Optimization: Bus Strategy, Data Science, Machine Learning, LLM, NLP, RPA, Machine Readable Document Systems, BPM, Process Automation, Analytics, and Insights
  • Market Innovator: Sales Efficiency, Advanced Targeting, Self-Service Data, Automated Services, Scalable Enterprise Capabilities, Software Development
  • Leadership: Strategic Planning, Global Team-Mgmt, Cross Fct’l Bus Collaboration, C-Suite Exp
  • Recruitment Strategies
  • Mentoring and Training
  • Budget Development
  • Deliverables Oversight
  • Business Development
  • Strategic Planning
  • Operations Management
  • Team Collaboration
  • Project Management
  • Business Planning

Prior Experience

Held multiple positions in management, data science, machine learning, platform development, and building decision intelligence solutions.

Advisory Board

  • AI/ML Consultancy - Theory & Practice, 2020, Present, AI/ML Consultancy - Theory & Practice focuses on immediate, actionable insights with a strong focus on client’s data assets by presenting clear roadmaps for implementing data strategies and tactics that enable customer centric solutions.
  • Storewise, 2023, Present, Storewise focuses on helping independent grocers with automated software, analytic insights and operational efficiencies.

Hobbies and Interests

My spare time is all about my family. With 1 college athlete & 1 HS athlete we spend most of our nights and weekends attending Baseball and Volleyball games. When we have a weekend off, my wife and I try to spend time with friends or enjoying each other’s company. I am also an avid reader, consuming 10’s of thousands of pages a year. I consume a lot of information each day, so the evenings are free time for me to enjoy topics of interest.

Timeline

Managing Director - Global Head of Data Science & Insights

BARINGS
01.2021 - 12.2022

Chief Data & Scientific Officer

C2FO
09.2017 - 12.2020

Global VP Advanced Engineering & Data Science

SS&C Technologies
09.2013 - 09.2017

Vice President Product Analytics

AUDIENCE.AI
09.2012 - 09.2013

Global Vice President, Data Analytics & Applied Sciences

GIANT MEDIA
10.2009 - 09.2012

Ph.D. - Applied Statistics

University of Northern Colorado

Master of Science - Applied Statistics

University of Northern Colorado

Bachelor of Science - Mathematics

University of Northern Colorado

Bachelor of Science - Psychology

University of Northern Colorado
John Young PhD