Lead Developer, Finance Technology

Role Overview

• Supports technical leadership and strategic direction for advanced analytics, RPA/automation, and digital tools supporting Finance and the broader organization.
• Architect high-impact solutions, support compliance standards, mentor team members (including interns), and champion effective, responsible AI adoption.
• Provide architectural input and hands-on support for advanced analytics, data pipelines, and automation solutions.
• Contribute to standards, design decisions, and solution patterns to promote scalability, reliability, and alignment with enterprise and Finance strategies.
• Support the identification, design, and deployment of RPA and AI‑enabled automation solutions that reduce manual effort and improve cycle times.
• Participate across the automation lifecycle and collaborate with COE/IT teams to reinforce governance and sustainability.
• Help colleagues recognize automation opportunities and understand how AI + automation can modernize Finance workflows.
• Assist in developing and enhancing statistical and machine‑learning models.
• Partner with teams to integrate predictive and AI‑driven insights into decision‑making and help promote responsible, effective usage patterns that strengthen analytical maturity.
• Contribute to technology‑driven process improvements across Finance by equipping teams with modern tools, methods, and best practices.
• Support enterprise reporting processes and help reinforce data governance, audit, and SOX requirements through collaborative stewardship and cross‑functional partnership.

Requirements

• Bachelor's degree in data Analytics, Business Analytics, Data Science, Computer Science, Information Systems, or related field
• 5+ years in analytics, programming, automation, or advanced data roles
• Deep experience with R/Python and SQL; proven delivery with BI tools and production model operations
• Experience with RPA platforms (e.g., Blue Prism/UiPath/Automation Anywhere)
• Strong communication and stakeholder management skills
• Demonstrated ability to support teams in applying AI and automation effectively
• Continuous learning mindset and passion for emerging technologies

Tech Stack

• Python
• RPA
• SQL

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development opportunities