Andy Isenhower

About Andy Isenhower

I help complex organizations move faster and perform better.Throughout my career, I’ve worked at the intersection of finance, strategy, and technology, transforming traditional business functions into modern, insight-driven decision engines. Whether driving enterprise AI adoption, redesigning operating frameworks, or strengthening capital allocation discipline, my focus has remained consistent: accelerate speed to insight and translate data into measurable business outcomes.At Lowe’s, I helped modernize executive reporting, introduced machine learning into forecasting, and piloted enterprise AI platforms that influenced company-wide rollout decisions. My teams automated thousands of hours of manual work, strengthened driver-based planning, and built analytics capabilities that allowed leaders to move from static reporting to proactive, forward-looking decision-making.Earlier in my career, I delivered measurable financial and operational impact, including:• $10M+ in annual savings through enterprise returns strategy redesign• Support of $1.2B in capital markets transactions and balance sheet strategy• Approximately $100M in interest savings through structured swap analysis• Tens of millions in vendor cost efficiencies while strengthening operational performanceAcross each role, the pattern is consistent. I diagnose complexity, build structure, introduce the right tools, and elevate both performance and the people delivering it.I am passionate about building high-performing teams that think critically, move quickly, and apply modern tools responsibly. I focus on using AI and data where they meaningfully improve decision quality, execution speed, and durable business performance.I am particularly drawn to enterprise leadership roles where modernization, strategy, and operational execution intersect, especially in environments ready to rethink how finance and data capabilities can become true competitive advantages.

Experience

1. Director Finance Analytics & Measurement

   Lowe's Companies, Inc.

   Oct 2023 — Present · Mooresville, NC, US

   Drove enterprise AI adoption within Finance, piloting generative AI solutions and custom GPT workflows that informed broader enterprise rollout and demonstrated scalable productivity impact across business teams.• Introduced ML-driven forecasting enhancements and advanced driver-based planning models, improving predictability and enabling leadership to respond dynamically to macro and operational shifts.• Built and scaled a finance analytics capability that transitioned teams from static reporting to forward-looking, self-service insights, upskilling talent through a Citizen Data Scientist framework.• Automated recurring analytics workflows using Python and tools such as Power Automate and ThinkCell, eliminating more than hours of manual effort and materially increasing speed and accuracy of decision support.• Designed and deployed a Digital Analyst leveraging AI agents, reducing recurring analytic workload by approximately 500 hours and expanding capacity without incremental headcount.• Introduced advanced measurement methodologies, including Google’s Causal Impact model, increasing attribution rigor and confidence in experimental decision-making.

Education

• UW Foster School of Business

  MBA, Finance

  2009 — 2011

• University of Washington

  BA, Business Administration

Skills

• Corporate Finance
• Data Analysis
• Analysis
• Finance
• Competitive Analysis
• Investments
• Process Improvement
• Project Management
• Mergers & Acquisitions
• Microsoft Excel
• Business Planning
• Financial Analysis
• Analytics
• Business Strategy
• Valuation
• Financial Modeling
• Forecasting
• Business Analysis