AI & Data Solutions Architect & Engagement Lead
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Key skills for this role
About the Role
AI & Data Solution Architect & Engagement Lead
Key Skills for This Role
Full Job Posting
Responsibilities
- Key Responsibilities
- Lead end-to-end solutioning and client pursuits, from opportunity discovery and RFP/RFI responses through solution design, executive presentations, and commercial closure.
- Own the solution architecture and technology vision for complex Data & AI transformation programs, ensuring solutions are scalable, secure, practical, and aligned with enterprise architecture.
- Design high-level architectures across data platforms, cloud modernization, analytics, AI/ML, GenAI, and Agentic AI, translating business requirements into actionable technology roadmaps.
- Define how data, AI models, applications, and enterprise platforms integrate to support business use cases and transformation objectives.
- Partner with engineering, data, AI/ML, cloud, and delivery teams to ensure proposed architectures are feasible, reusable, and production ready.
- Provide architectural direction on technology choices, integration patterns, platform capabilities, and modernization approaches without being limited to hands-on development.
- Lead client workshops and executive discussions to identify business opportunities and demonstrate how Data & AI capabilities can drive measurable value.
- Identify and drive new opportunities, account expansion, and transformation roadmaps within existing client relationships.
- Ensure successful transition from pursuit and solutioning into delivery, maintaining architectural integrity and client alignment.
- Mentor architects and solutioning teams and contribute to solution accelerators, thought leadership, industry POVs, and go-to-market initiatives.
- Key Responsibilities Lead end-to-end solutioning and client pursuits, from opportunity discovery and RFP/RFI responses through solution design, executive presentations, and commercial closure.
Qualifications
- Required Qualifications
- 12+ years of experience in Solution Architecture, Technology Consulting, Data & AI, or Digital Transformation, including 5+ years in senior client-facing consulting, architecture, or engagement leadership.
- Proven experience designing and leading enterprise-scale Data & AI solutions and complex transformation programs.
- Strong understanding of cloud data platforms, data modernization, analytics, AI/ML, GenAI, and Agentic AI.
- Experience leading large and complex solution pursuits ($5M+ TCV) and working closely with sales and commercial teams.
- Strong ability to translate business requirements into enterprise architecture, solution roadmaps, and compelling business cases.
- Demonstrated experience managing multiple stakeholders across business, architecture, engineering, and delivery teams.
- Bachelor's or master's degree in computer science, Engineering, Data Science, or related field.
- Preferred
- Strong Insurance or Financial Services domain experience.
- Experience with legacy-to-cloud data modernization and enterprise transformation programs.
- Experience defining enterprise GenAI/Agentic AI strategies and use cases.
- Exposure to major cloud and data platforms such as AWS, Azure, Snowflake, Databricks, or Microsoft Fabric.
- Required Qualifications 12+ years of experience in Solution Architecture, Technology Consulting, Data & AI, or Digital Transformation, including 5+ years in senior client-facing consulting, architecture, or engagement leadership.
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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