AI & Data Solutions Architect & Engagement Lead

Posted 3 Days Ago
Hiring Remotely in United States
Remote or Hybrid
Expert/Leader
Information Technology • Database • Consulting
The Role
Leads enterprise Data, AI, and digital transformation solution architecture and client pursuits. Designs scalable cloud, data, analytics, AI/ML, GenAI, and Agentic AI architectures; leads workshops, RFP responses, executive presentations, commercial closure, account expansion, and transition into delivery. Partners with engineering and delivery teams, mentors architects, and develops transformation roadmaps, business cases, accelerators, and industry thought leadership, particularly for Insurance and Financial Services clients.
Summary Generated by Built In

We are seeking a AI & Data Solutions Architect & Engagement Lead to shape and lead enterprise Data, AI, and digital transformation initiatives. This is a senior client-facing role combining solution architecture, consulting, pursuit leadership, and account growth, with a strong focus on Insurance and Financial Services.

The role will work closely with senior client stakeholders and internal delivery teams to understand business challenges, define the right technology strategy, architect scalable solutions, and translate them into compelling business outcomes. 

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.

     

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.

 

Skills Required

  • 12+ years of experience in Solution Architecture, Technology Consulting, Data & AI, or Digital Transformation
  • 5+ years of senior client-facing consulting, architecture, or engagement leadership experience
  • Experience designing and leading enterprise-scale Data & AI solutions and complex transformation programs
  • Strong understanding of cloud data platforms, data modernization, analytics, AI/ML, Generative AI, and Agentic AI
  • Experience leading complex solution pursuits with $5M+ total contract value
  • Ability to translate business requirements into enterprise architecture, solution roadmaps, and business cases
  • Experience managing stakeholders across business, architecture, engineering, and delivery teams
  • Bachelor's or master's degree in computer science, engineering, data science, or a related field
  • Insurance or Financial Services domain experience
  • Experience with legacy-to-cloud data modernization and enterprise transformation programs
  • Experience defining enterprise Generative AI and Agentic AI strategies and use cases
  • Exposure to AWS, Azure, Snowflake, Databricks, or Microsoft Fabric
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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