Lead Analytics Solution Architect (RFP)
Quick Summary
• Collaborate with product, delivery, and GTM teams to respond to RFPs with compelling and technically sound proposals. • Lead the design and architecture of scalable, secure,
• Collaborate with product, delivery, and GTM teams to respond to RFPs with compelling and technically sound proposals. • Lead the design and architecture of scalable, secure,
To succeed in this role, you should bring a strategic blend of analytics expertise, domain knowledge in IFAO and SCM, and strong leadership in solutioning and client engagement.
Requirements
~1 min read• 12+ years of experience in designing and delivering enterprise analytics solutions, with a focus on IFAO (Intelligent Finance Accounts Operations)
• Proven experience in architecting analytics solutions across domains such as O2C / P2P/ R2R / Financial Planning & Analysis
• Strong understanding of IFAO processes including cost allocation, budgeting, forecasting, and performance management.
• Ability to identify and implement AI/ML use cases to drive business outcomes in finance and operations.
• Fair understanding in Analytical Tools and AI ecosystem, ETL and Visualization Tools, not restricted to:
• Power BI for enterprise-grade reporting and dashboarding.
• Azure Synapse, Azure ML, and Data Factory/
• Familiarity with ERP systems (SAP preferred, Oracle, Dynamics 365) and integration with analytics platforms.
• Strong grasp of data modelling, data integration, and governance principles.
• CA, MBA, Bachelors in Finance, Supply Chain, or related field.
• Minimum 6 years in architecting analytics solutions for finance and operations.
• Fair understanding in emerging technologies AI / Agentic
Responsibilities
~1 min readAs a Lead Analytics Solution Architect (RFP), you will:
• Collaborate with product, delivery, and GTM teams to respond to RFPs with compelling and technically sound proposals.
• Lead the design and architecture of scalable, secure, and high-performance analytics solutions tailored to IFAO
• Translate business requirements into technical architecture and solution blueprints.
• Drive innovation by integrating AI/ML use cases such as financial forecasting, spend analytics, inventory optimization, and operational risk analytics.
• Ensure alignment with enterprise architecture standards, data governance, and compliance requirements.
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• Serve as the technical authority for IFAO analytics solutions in client engagements.
• Stay current with emerging technologies in cloud, AI, and enterprise analytics.
• Mentor junior architects and analysts, fostering a culture of excellence and innovation.
• Develop and maintain solution accelerators and reusable assets for common analytics scenarios.
• Ensure solutions are cost-optimized, maintainable, and scalable across industries.
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Location & Eligibility
Listing Details
- Posted
- September 16, 2026
- First seen
- September 28, 2026
- Last seen
- September 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- September 28, 2026
Signal breakdown
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