Subham Chaudhury

6+ years of work experience

Feb 20251 yrJan 2026

Remote

Delivered a global Oracle PeopleSoft Finance Transformation program across 15 countries, supporting 250+ finance users through enterprise process modernization and digital transformation. Reduced finance reconciliation effort by 70%, accelerated month-end close from 7 to 3 days, eliminated 100% of manual GL allocation workflows, and achieved 90%+ platform adoption within five months. Contributed to an estimated USD 2M+ annual operational efficiency through optimization by automating finance workflows, strengthening governance, and integrating enterprise platforms supporting global finance operations Defined business capabilities and integration strategy across Oracle PeopleSoft, Workday, Salesforce, Coupa, FloQast, and ServiceNow, enabling scalable, governed, and automated enterprise finance operations. Partnered with global Finance, Product, Enterprise Architecture, PMO, Integration, and Engineering stakeholders to drive Product Discovery, Agile delivery, governance, and enterprise transformation.

Jun 20231 yr 9 mosFeb 2025

Remote

• Migrated legacy stored procedures to API-driven workflows under Batchless integration, improving data flow efficiency. • Designed a BuildID Designer UI enabling non-technical users to self-configure jobs, reducing errors by 60% and support tickets by 93%. • Built a CAPA system from 0→1 with structured incident workflows, severity levels, and ownership rules. • Standardized RCA using Fishbone, 5 Whys, and FMEA, improving corrective-action quality and cutting repeat incidents by ~30%. • Created Power BI dashboards for incident trends, SLA performance, RCA insights, and audit tracking to improve visibility. • Implemented secure user access via AD and SSO across both platforms to strengthen authentication and compliance.

Jul 20193 yrs 11 mosMay 2023

Bengaluru, Karnataka, India

• Led migration from manual web credit flow to a compliant mobile-first DLA with VKYC, Aadhaar, IMEI binding, e-mandate, and e-sign. • Integrated OCR, Digio, NPCI, and geo-tagging to strengthen verification and reduce fraud in assisted loan journeys. • Improved lender-selection logic and underwriting flows, boosting eligible loan amount accuracy by 86%. • Enhanced adoption to 90%+ in 5 months through training, documentation, chatbot support, and UX improvements. • Streamlined LOS–LMS workflows, improving processing efficiency by 87% and cutting TAT by 80%. • Added fraud checks, validation layers, SLA tracking, and reporting tools to reduce errors, improve routing accuracy by 82%, and strengthen compliance.