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Megan Jones

@meganjones

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AI-driven data science leader transforming enterprise performance and strategy.

United States

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What I'm looking for

I seek senior roles driving enterprise AI and data strategy, building cross-functional teams, and delivering measurable business impact through responsible AI and analytics adoption.

I am an influential data science and AI leader who translates complex business problems into AI-enabled solutions that deliver measurable ROI, operational efficiency, and competitive advantage. I have led enterprise AI strategy, shaped operating models, and advised C-suite stakeholders across Fortune 500 and global organizations.

As a manager and product-minded data science lead, I build and mentor high-performing, cross-functional teams, manage multi-site resources, and drive delivery of data science products and dashboards using tools like Python, SQL, Tableau, Power BI, Databricks, and Looker. My engagements commonly deliver 10–20% operating improvements and have supported portfolios and GTM efforts worth millions.

I focus on responsible AI adoption, change management, and enabling organizational readiness through training, KPI design, and standardized delivery practices. I prioritize clear stakeholder alignment, measurable outcomes, and sustainable transformation that ties analytics to business value.

Experience

Work history, roles, and key accomplishments

Current

Manager, AI & Data Science

Current

Alvarez & Marsal

Nov 2023 - Present (2 years 1 month)

Leads development of three data science products and manages multi-site teams of 6–8, driving enterprise AI strategy, go-to-market proposals, and a $2M portfolio while delivering 10–20% operating efficiency improvements across engagements.

Product Management AI Strategy Data Science Agile Team Leadership Change Management

Data Science Lead

Capgemini

Jul 2022 - Oct 2023 (1 year 3 months)

Managed offshore teams to implement reporting and dashboards, defined KPIs and career tracks, and applied SQL/Python/R analytics to deliver measurement solutions and upgraded data pipelines for marketing clients.

SQL Python R Tableau Data Pipelines KPI Design Team Management Career Development

Senior Data Analyst

Red Ventures

Dec 2021 - Jul 2022 (7 months)

Implemented optimization solutions for a travel platform using SQL, Python, Spark and Databricks, and built Looker/Redshift dashboards to enable stakeholder decision-making and improve process outcomes.

SQL Python Spark Databricks Looker Amazon Redshift Data Visualization Cross Functional Collaboration

Senior Consultant, Data & Analytics

Ernst & Young

Jun 2019 - Feb 2021 (1 year 8 months)

Led a financial services gap assessment workstream, built Power BI and R dashboards, automated processes with Snowflake/SQL/AWS, and identified root causes across $170M of engagements, reducing issue tickets by 70%.

Power BI R Python Snowflake SQL AWS Data Migration Dashboarding Issue Reduction

Data Analyst, Procurement

RaceTrac Petroleum, Inc.

Mar 2017 - Jun 2019 (2 years 3 months)

Developed end-to-end Power BI solutions and inventory processes for 500 stores that identified $1M in opportunities and improved stock planning by 40% through testing and operational transition.

Power BI Excel Inventory Management Testing Dashboarding Cross Functional Collaboration Supply Chain

Education

Degrees, certifications, and relevant coursework

Georgia State University, J. Mack Robinson College of Business

Master of Science, Data Science and Analytics

Completed a Master of Science in Data Science and Analytics with coursework and projects focused on statistical modeling, machine learning, and data engineering.

University of Alabama

Bachelor of Science, Business Administration

Earned a Bachelor of Science in Business Administration with foundational training in business principles and analytics applications.

Georgia Institute of Technology (Certification)

Certificate, Data Science and Analytics

Completed a professional certification program in Data Science and Analytics to strengthen technical skills in machine learning, statistics, and data engineering.