RecargaPay Benefits Overview

Define the company-wide automation strategy, operating model, governance, architecture, security, observability, and lifecycle standards. Design and implement production-grade AI agents, RAG workflows, integrations, RPA solutions, and scalable AWS deployments while remaining hands-on with coding, reviews, troubleshooting, and production support. Establish responsible AI and LLMOps practices, optimize costs, mentor engineers, and partner with business leaders to deliver measurable efficiency, compliance, reliability, and data-quality improvements.

Architects and develops enterprise data products connecting SAP’s semantic layer with Databricks. Transforms SAP Finance and Sales data using SQL and PySpark into governed data marts, analytical models, dashboards, and reusable data assets. Advises stakeholders on KPIs and data-driven decisions, promotes automation and self-service analytics, supports governance and data quality, and mentors analytics professionals. The role also standardizes solutions using dbt and Git while enabling scalable cross-domain data integration.

Own customer segmentation and clustering, identify CRM growth opportunities, recommend strategies to leadership, and execute multichannel campaigns end-to-end. Operate CRM platforms, conduct A/B testing, analyze KPIs and OKRs, and use AI to deepen analysis, automate workflows, and build scalable CRM agents.