Lead Analytics Solution Architect

Objective:

We are seeking an experienced lead analytics solution architect (RFP) to drive the design of enterprise analytics solutions in support of client proposals and strategic engagements. In this role, you will collaborate with product, delivery, and go-to-market teams to develop scalable, data-driven solutions for finance and operations, translating complex business requirements into robust technical architectures.

Responsibilities:

• Lead the design and architecture of enterprise analytics solutions for finance and operations.
• Collaborate with product, delivery, and go-to-market teams to develop technical solutions for RFP responses.
• Translate business requirements into scalable solution architectures and technical blueprints.
• Design analytics solutions across IFAO processes, including Order-to-Cash (O2C), Procure-to-Pay (P2P), Record-to-Report (R2R), and Financial Planning & Analysis (FP&A).
• Identify opportunities to leverage AI/ML for financial forecasting, spend analytics, inventory optimization, and operational risk analytics.
• Ensure solutions align with enterprise architecture standards, data governance, security, and compliance requirements.
• Serve as the technical authority for analytics solutions during client engagements.
• Develop reusable solution assets, accelerators, and best practices.
• Mentor junior architects and analytics professionals.
• Stay current with emerging technologies in cloud, AI, and enterprise analytics.

Requirements:

• Bachelor's degree in Finance, Supply Chain, Computer Science, Information Technology, Business, or a related field. An MBA or CA qualification is a plus.
• Minimum 12 years of experience designing and delivering enterprise analytics solutions.
• At least 6 years of experience architecting analytics solutions for finance and operations.
• Strong expertise in Intelligent Finance & Accounting Operations (IFAO).
• Experience across finance domains including Order-to-Cash (O2C), Procure-to-Pay (P2P), Record-to-Report (R2R), and Financial Planning & Analysis (FP&A).
• Experience designing AI/ML-driven analytics solutions for finance and operations.
• Strong knowledge of analytics, ETL, and visualization tools, including Power BI.
• Experience with Azure Synapse Analytics, Azure Machine Learning, Azure Data Factory, or similar cloud analytics technologies.
• Familiarity with ERP platforms such as SAP (preferred), Oracle, or Microsoft Dynamics 365.
• Strong understanding of data modeling, data integration, and data governance principles.
• Experience leading cross-functional teams and collaborating with finance, operations, data engineering, and delivery teams.
• Experience responding to RFPs, preparing solution proposals, and supporting pre-sales engagements.
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Ability to assess and communicate the financial impact of proposed analytics solutions, including ROI and business value.
• Strong leadership, analytical, and problem-solving skills.
• Familiarity with emerging AI and Agentic AI technologies is a plus.
• Excellent verbal and written English communication skills.