Role Description The Senior Lead Finance Analyst will play a critical role in managing and optimizing Operating Expenses (OPEX) across the enterprise. This position combines strong financial acumen with advanced technical skills, including AI-driven analytics, to deliver actionable insights and support strategic decision-making. The ideal candidate will partner with cross-functional teams to ensure accurate forecasting, budgeting, and reporting while driving automation and efficiency. Work Location: This position has been designated as fully remote in the U.S. Main Responsibilities - OPEX Planning & Forecasting - Build and maintain dynamic OPEX models leveraging advanced analytics and scenario planning. - Apply predictive modeling techniques (e.g., regression, time-series forecasting) to improve forecast accuracy. - Utilize AI-driven tools for anomaly detection and trend analysis in expense patterns. - Financial Analysis & Insights - Perform deep-dive variance analysis, identifying root causes and actionable recommendations. - Develop dashboards using 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 - Act as a trusted advisor to operational leaders, 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 robust documentation for models, assumptions, and methodologies to support transparency. Qualifications - Bachelor’s degree in Finance, Accounting, or related field; MBA or CPA preferred. - 5+ years of experience in financial planning and analysis, with a focus on OPEX. - Strong analytical, problem-solving, and communication skills. - Ability to manage multiple priorities in a fast-paced environment. Requirements - Technical Skills & Proficiencies - AI/ML Tools: TensorFlow, PyTorch, Scikit-learn for predictive analytics. - Data Visualization: Power BI, Tableau, or similar platforms. - Programming: Advanced skills in Python and SQL for automation and data manipulation. - Cloud & Data Platforms: Familiarity with Azure Data Services or similar enterprise cloud environments. - Financial Systems: SAP, Oracle, or equivalent ERP systems. - Data Science Concepts: Predictive modeling, anomaly detection, and NLP for financial applications. Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors. - Location Based Pay Ranges: - $105,786 - $141,047 in these states: 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 these states: CO, HI, MI, MN, NC, NH, NV, OR, RI - $116,364 - $155,152 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, WA Benefits - Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional, and financial wellbeing.

• Responsible for managing the research activities at sites participating in Worldwide’s clinical research projects • Conduct study initiation visits (SIVs)

• Conduct remote or on-site visits to assess protocol and regulatory compliance • Monitor investigator sites with a risk-based monitoring approach and ensure data accuracy • Document observations in reports and letters in a timely manner • Facilitate effective communication between investigative sites and the project team • Maintain and complete administrative tasks such as expense reports and timesheets

• Oversee and manage clinical trial sites, ensuring that studies are conducted in accordance with regulatory requirements, study protocols, and company standards. • Focus on coordinating clinical trial monitoring delivery, resolving issues, and developing team capability. • Lead site management activities, including site selection, initiation, monitoring, and close-out visits, to ensure compliance with study protocols and regulatory guidelines. • Serve as the primary point of contact for clinical sites, addressing site queries, and resolving issues to maintain site engagement and performance. • Ensure the integrity of clinical data by conducting thorough source data verification, reviewing site records, and monitoring for protocol deviations. • Mentor and provide guidance to CRAs, contributing to their professional development and supporting the consistent application of best practices across studies. • Collaborate with cross-functional teams, including clinical project managers, data managers, and biostatisticians, to ensure the successful execution of clinical trials.