Payments Finance Transformation Lead-Vice President

As a strategic thinker passionate about driving solutions in Automation & Transformation, you have found the right team. **Key Responsibilities:** - Drive the design, development, and deployment of advanced automation solutions for FP&A and financial operations using Alteryx, Python, SQL, and Databricks. - Champion the development and optimization of data models, data warehouses, and ETL pipelines to support robust financial planning, analysis, and reporting. - Collaborate with senior business managers, product owners, and finance leaders to translate strategic business requirements into actionable automation and analytics initiatives. - Drive adoption of AI/ML methodologies to automate and enhance financial forecasting, planning, and analysis. - Ensure compliance with data governance, privacy, and security standards across all automation and BI solutions. - Oversee strategic projects and cross-functional analytics initiatives, streamlining data flows and improving resource utilization and financial performance. - Present complex analytical findings, automation strategies, and transformation results to executive management in a clear, compelling manner. - Mentor, develop, and inspire team members, fostering a culture of innovation, collaboration, and excellence. **Qualifications Required:** - Bachelors or Masters degree in Computer Science, Engineering, Finance, or a related quantitative field. - 8+ years of experience in BI development, data analytics, automation, and FP&A, with proven leadership in transformation initiatives. - Advanced proficiency in Alteryx, Python, SQL, and Databricks for data modeling, automation, and analytics. - Demonstrated experience in building and optimizing data warehouses, ETL processes, and dashboards using Tableau or similar BI tools. - Strong leadership, stakeholder management, and project management skills. - Excellent communication, analytical, and problem-solving abilities. The company prefers candidates with Certification in Alteryx, Tableau, Python, or SQL, familiarity with AI/ML concepts, and experience working with complex, multi-source datasets and global teams.,