Overview
This role involves managing and optimizing Operating Expenses (OPEX) across the enterprise by combining strong financial expertise with advanced technical skills, including AI-driven analytics. The Senior Lead Finance Analyst will support strategic decision-making through accurate forecasting, budgeting, and reporting while driving automation and efficiency.
This is a fully remote position within the U.S.
Responsibilities
OPEX Planning & Forecasting
- Build and maintain dynamic OPEX models using advanced analytics and scenario planning.
- Apply predictive modeling techniques such as regression and time-series forecasting to improve forecast accuracy.
- Utilize AI-driven tools for anomaly detection and trend analysis in expense patterns.
Financial Analysis & Insights
- Conduct deep-dive variance analysis to identify root causes and provide actionable recommendations.
- Develop dashboards with Power BI or similar visualization tools to present real-time OPEX performance.
- Integrate machine learning algorithms to identify cost optimization opportunities and automate repetitive analysis tasks.
Business Partnering & Strategic Support
- Serve as a trusted advisor to operational leaders by translating complex financial data into strategic insights.
- Collaborate with cross-functional teams to align OPEX strategies with enterprise objectives.
- Use natural language processing (NLP) tools to summarize large datasets and meeting transcripts for decision-making.
Process Automation & AI Enablement
- Drive automation of reporting processes using Python, R, or SQL scripts integrated with financial systems.
- Implement AI-based solutions for expense categorization and predictive spend management.
- Partner with IT and data science teams to deploy machine learning models into financial workflows.
Data Governance & Compliance
- Ensure data integrity and compliance with corporate financial policies and regulatory standards.
- Apply AI-powered audit tools to detect anomalies and strengthen internal controls.
- Maintain thorough documentation for models, assumptions, and methodologies to support transparency.
Requirements
Technical Skills & Proficiencies
- Experience with AI/ML tools such as TensorFlow, PyTorch, and Scikit-learn for predictive analytics.
- Proficiency in data visualization platforms like Power BI or Tableau.
- Advanced programming skills in Python and SQL for automation and data manipulation.
- Familiarity with cloud and data platforms such as Azure Data Services or similar enterprise cloud environments.
- Experience with financial systems like SAP, Oracle, or equivalent ERP systems.
- Knowledge of data science concepts including predictive modeling, anomaly detection, and NLP applied to financial contexts.
Qualifications
- Bachelor’s degree in Finance, Accounting, or a related field; MBA or CPA preferred.
- Minimum of 5 years of experience in financial planning and analysis, focusing on OPEX.
- Strong analytical, problem-solving, and communication skills.
- Ability to manage multiple priorities in a fast-paced environment.
Compensation & Benefits
The anticipated base salary range varies by location and is based on current national data. Individual pay depends on skills, experience, and other relevant factors.
- $105,786 - $141,047 in AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, WY
- $111,074 - $148,099 in CO, HI, MI, MN, NC, NH, NV, OR, RI
- $116,364 - $155,152 in AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, WA
The employer offers a comprehensive benefits package including health, life, voluntary lifestyle benefits, and other perks supporting physical, mental, emotional, and financial wellbeing. Additional information about bonus structures and incentives is provided during the selection process.
Location
This position is fully remote within the United States.