Summary

Michael A. Davis is an executive-level data strategist and business leader with a proven track record of architecting and deploying AI-driven solutions to solve complex business challenges. With experience as a fractional Chief Data Officer for diverse clients, he excels at translating sophisticated analytics into tangible business value. A systems thinker at heart, he applies his analytical rigor to not only solve complex problems but also to develop innovative frameworks and insights, a capability demonstrated through his academic and professional engagement

Experience

2021 - Present

DataBuddy LLC

Founder & Principal Consultant

  • Provide executive-level strategy and hands-on execution as a fractional Chief Data Officer for a diverse client portfolio across key industries including Private Equity, B2B SaaS, Medical Devices, Logistics & Supply Chain, and National Sporting Bodies.
  • Architect and implement custom end-to-end data systems, machine learning models, and AI solutions to solve core business problems, directly increasing revenue and operational efficiency for clients.

2019 - 2021

Snowflake

Growth Data, Sales

  • Owned and led the CRM data strategy for the sales organization during a period of hyper-growth, building the analytical frameworks that guided market penetration and expansion.
  • Engineered a scalable system for high-value new account identification and territory assignment, providing a strategic foundation for sales team targeting.

2017 - 2019

LinkedIn

Tech Lead, GTM Data Science

  • Led the end-to-end re-architecture of the company’s core marketing and sales funnel reporting, providing unprecedented clarity into campaign ROI and influencing millions in marketing spend.
  • Designed and implemented a marketing attribution framework, unifying disparate data sources into a single source of truth for all GTM activities.
  • Recruited and mentored a high-performing team of data scientists, establishing a culture of technical excellence and business impact.
Show Full History

2015 - 2017

BMC Software

Talent Analytics, Employee Experience

  • Developed predictive models to identify flight-risk employees, enabling proactive retention strategies.
  • Streamlined HR and recruiting reporting, reducing manual work by 80%.

2014 - 2015

LinkedIn

Data Scientist, Business Analytics

  • Developed a patented crowd-sourcing methodology for ads-revenue forecasting, improving forecast accuracy and eliminating 10,000 annual hours of manual work.
  • Built a predictive model to assess potential client spending, enhancing customer targeting and prioritization across multiple business units.

2012 - 2014

Flipkey

Sr. Business Analyst

  • Increased total company revenue by 6% by overhauling the core search algorithm.
  • Built the company's first in-house A/B testing framework, enabling a culture of data-driven product development.

Teaching & Academic Engagement

Santa Clara University, Leavey School of Business

Adjunct Lecturer

Cultivated the next generation of data leaders by developing and teaching practical courses on data analytics, business intelligence, and programming.

Northeastern University

Adjunct Lecturer

Taught courses in calculus and statistics for business and healthcare, applying quantitative concepts to real-world industry problems.

Education & Certifications

Northeastern University

Master of Science, Industrial & Applied Mathematics

Clarkson University

Bachelor of Science, Applied Mathematics & Statistics w/ Honors

MITx MicroMasters

Logistics, Materials, and Supply Chain Management

CTEC Registered Tax Preparer (CRTP)

Technical Skills

Core Competencies

Data Strategy, P&L Analysis, Predictive Modeling, AI

Languages

Python (Pandas, NumPy, Scikit-learn), SQL, R, Scala, JavaScript, HTML, CSS

Databases

Snowflake, BigQuery, Redshift, PostgreSQL, MySQL

Cloud Platforms

AWS, Microsoft Azure, Google Cloud Platform (GCP)

BI & Visualization

Tableau, Looker, Power BI, D3.js

Other Tools

Airflow, Git, Spark, Hive, Salesforce, Hubspot, QuickBooks