Finance Transformation and Process Architect

Agile Techno Finance Analyst The Finance Transformation & Process Architect is a strategic hybrid role designed for a professional who "connects the dots" between complex financial operations and cutting-edge technology. You will be responsible for re-engineering core finance processes—specifically in Budgeting, Forecasting, and Budgetary Control—and translating those needs into a robust digital architecture. You are not just a functional expert or a developer; you are the bridge that ensures technology serves financial accuracy and operational efficiency. Key Roles & Responsibilities: Project Orchestration: Lead cross-functional sprints between Finance and IT/GDIA to ensure digital tools are delivered on time and meet functional requirements. Process Architecture & Value Stream Mapping: Lead the end-to-end mapping of finance workstreams (Planning, Forecasting, Month-end Close, and Budget Control). Utilize Value Stream Mapping (VSM) and process flow charting to identify bottlenecks and "friction points," designing future-state architectures that eliminate manual intervention. The Strategic Bridge: Act as the primary translator between Finance stakeholders and IT/Data Engineering teams. Connect the dots between business requirements and technical execution, ensuring that automated solutions solve real-world financial pain points. Systems & Data Integration: Optimize and integrate finance workflows within SAP S/4HANA and Oracle Essbase environments. Ensure that data flows seamlessly between ERP systems, process workflows, and reporting layers. Solution Design & Automation: Develop and prototype efficiency tools like Data Form , the MS Power Platform (Power Automate/Apps), or Visualization tools (e.g. Power BI). Identify the "right tool for the job" to improve process velocity and data integrity. Agentic AI & Innovation: Identify use cases for Agentic AI and LLMs to handle cognitive finance tasks, such as automated variance analysis, complex reconciliations, and predictive forecasting. Data Strategy & Lineage: Oversee the migration of finance data into Data Lakes/EDP. Ensure a "single source of truth" by maintaining strict data lineage and integrity across all automated reporting outputs. Digital Capability & Citizen Development: Serve as a Lead Citizen Developer and "AI Evangelist" for the Finance team. Design and deliver hands-on training sessions to upskill colleagues on "last-mile" technologies, including Generative AI/LLM prompt engineering, Power Platform (Power Automate/Apps), and data visualization. Your goal is to foster a culture of technical curiosity and empower the broader finance organization to build their own automated micro-solutions. Desired Technical Skills & Experience: Core Finance Expertise: Deep functional knowledge of FP&A cycles, Budgeting, Forecasting, and Budgetary Control. Must understand the accounting logic behind complex accruals and financial modeling. Systems Proficiency: Hands-on experience with SAP S/4HANA and Oracle Essbase . Data Transformation & Analytics: Expert level in tools like Alteryx for ETL and data blending. Professional-grade skills in Power BI or similar tools. Automation & Low-Code: Advanced proficiency in the MS Power Platform (Power Automate, Power Apps). Technical Literacy: Ability to write and understand SQL for data extraction, Python for advanced modeling, and a basic understanding of APIs for system integration. Methodology: Proven experience in Lean Six Sigma tools, specifically VSM and bottleneck analysis. The ideal candidate will possess a unique blend of financial acumen and technical literacy. We are looking for 5+ years of total professional experience, demonstrated through one of the following pathways: 1: Finance-First Professional Education: Bachelor’s degree in Finance, Accounting, or Economics, paired with a Master’s or certification in Business Analytics/Data Science. OR a Qualified CA, CMA, or MBA (Finance) with certifications in digital tools (e.g., MS Power Platform, Alteryx, or Power Query). Experience: 5+ years in Finance, with at least 3+ years specifically dedicated to Finance Transformation, Systems Implementation, or Process Re-engineering. 2: Technical-First Professional Education: B.E. / B.Tech. in Computer Science, Data Analytics, or a related technical field. Experience: 5+ years of total professional experience, including 2–3 years of proven functional experience working directly within Finance operations or processes (e.g., Forecasting, Budgeting, or Financial Reporting). Demonstrated Success: A portfolio of completed projects where you successfully bridged the gap between a manual finance process and a fully automated, scalable digital solution. Experience Level Senior Level