Finance Manager, SCOT Finance

Key job responsibilities

• Support Sourcing Strategy and Vendor Selection programs that influence nearly all buying decisions for the Retail business, resulting in millions of decisions every day and billions of dollars every month
• Engage in AI/ML model design reviews as the financial subject matter expert, ensuring sourcing algorithms incorporate appropriate financial inputs
• Build and improve metrics and audit mechanisms to evaluate algorithmic decision outcomes — identifying when models are underperforming and bringing data-driven recommendations to course-correct
• Translate complex algorithmic sourcing decisions into clear explanations for leadership, answering "why did the system recommend X" with financial and business context
• Collect, analyze, and manage quantitative data to create meaningful reports that drive business improvement and cost reductions
• Manage the development of weekly and monthly financial metrics, planning, forecasting, and reporting models — driving continuous innovation and communicating insights to Operations and Retail partners
• Conduct root cause analysis and uncover core issues using data to drive actions and improvements
• Conduct ad hoc analysis to quantify financial impact of opportunities and risks
• Communicate verbally and in writing to business customers and leadership with various levels of technical knowledge, educating them about our systems and sharing insights and recommendations
• Work with data source providers and technology teams to ensure that key decision data is accurate, automated, and timely
• Leverage AI and automation tools — including GenAI assistants and AI-powered data platforms — to accelerate analysis, improve productivity, and continuously explore new ways to deliver higher-quality insights faster

Basic Qualifications

• Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
• 5+ years of tax, finance or a related analytical field experience
• 5+ years of finance experience, or Master’s degree and 3+ years of finance experience

Preferred Qualifications

• MBA, or CPA
• 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
• 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
• Knowledge of SQL/ETL
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results