Tom Mc Donald
About Tom Mc Donald
Tom McDonald is a Senior Data Asset Manager at Procter & Gamble with extensive experience in data analytics, business intelligence, and financial advisory services across multiple industries.
Title and Current Position
Tom Mc Donald holds the position of Senior Data Asset Manager at Procter & Gamble. He started his role in 2021 and operates in the United States. His role involves managing and leveraging data assets to optimize business processes and drive strategic decisions.
Previous Experience
Tom Mc Donald has a rich history of working in various data-centric roles. He served as a Data Engineer for Operational Seasonal Readiness at Nike from 2020 to 2021, and as Strategic Management, Software Engineering & Quality Control at HERE Technologies from 2018 to 2020 in the Greater Chicago Area. His experience includes a role in Business Intelligence & Data Analytics at TAM in Chicago (2016-2017) and work in Forensic Technology Solutions at PricewaterhouseCoopers (2014-2016). His earlier career saw him in Financial Advisory Services and Business Analytics at Deloitte (2013-2014) and Financial Services Advisory and Compliance at Navigant Consulting from 2002 to 2013.
Educational Background
Tom Mc Donald studied Accounting and Finance at Texas Christian University, earning a Bachelor of Business Administration (BBA). He also pursued a minor in Computer Science at the same institution. This educational background laid a strong foundation for his expertise in data management and analytics.
Industry Experience
Throughout his career, Tom Mc Donald has led diversified teams across various industries, including Agriculture, Banking, Construction, and Pharmaceuticals. His cross-industry experience underlines his versatility and adaptability in managing data and driving business intelligence initiatives.
Specializations and Skills
Tom Mc Donald specializes in complex analyses, process automation, business intelligence, and visualization. He has developed quantitative and statistical code-driven models to analyze business and customer data. He excels in acquiring, evaluating, and integrating information from multiple client systems, publicly available sources, and third-party vendors. His expertise has been utilized by over 100 different organizations, mostly comprising Fortune 500 and S&P 500 companies.