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 processesspecifically in Budgeting Forecasting and Budgetary Controland 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.

Experience & Education: Qualification Pathways

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:

- Bachelors degree in Finance Accounting or Economics paired with a Masters 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. / . in Computer Science Data Analytics or a related technical field.

Experience: 5 years of total professional experience including 23 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.