Chief Intelligence Solution Architect

The Vanguard Group • Charlotte, PA

3d • Hybrid

About The Position

We are seeking an S5 Chief Intelligence Solution Architect to define and integrate the next generation of intelligence systems that power decisions across the Personal Wealth (PW) business and U.S. Direct Investor (USDI) CX domains. This leader will operate within a mature and evolving ecosystem of existing analytic solutions, intelligence products, and digital experiences—aligning and advancing them into a cohesive, scalable intelligence architecture across PW and USDI. The role is accountable for ensuring that analytics, AI, and data capabilities are intentionally designed to feed, enable, and scale digital products that deliver intelligence to business crews, product owners, analysts, clients, and AI agents. Why This Role Matters: Personal Wealth and USDI already have strong analytic capabilities and emerging intelligence products. The opportunity—and challenge—is to connect them into a unified system. This role ensures that analytics becomes the engine powering digital products, client experiences, and AI-driven decisions across PW and USDI, unlocking greater scale, consistency, and business impact.

Requirements

• 10+ years in analytics, AI/ML, data architecture, or solution architecture
• Experience in complex, multi-solution environments, aligning across platforms, teams, and business domains
• Proven ability to drive roadmap alignment and integration at scale
• Strong product management mindset, with experience translating business needs into scalable, user-oriented solutions
• Demonstrated project/program management capability to lead complex, cross-functional initiatives with multiple dependencies
• Ability to manage end-to-end solution lifecycle from concept through delivery and adoption
• Strong background in technical consulting, solution design, and delivery execution in analytics or AI environments
• Ability to bridge business, product, and engineering perspectives, ensuring solutions are both technically sound and outcome-driven
• Experience delivering production-grade analytics/AI capabilities embedded in digital products
• Deep understanding of data ecosystems, analytics pipelines, AI/ML systems, and digital product integration
• Experience with API-driven, modular, and platform-based architectures
• Strong grasp of analytics as a driver of product experiences and client value, not just reporting
• Ability to align and simplify across highly distributed teams and solutions
• Strong executive communication and cross-functional influence
• Track record of driving coherence from fragmented capabilities

Responsibilities

• Define and evolve the end-to-end architecture for intelligence systems across PW and USDI, spanning data, analytics, AI/ML, and decision layers
• Recognize and leverage existing analytic solutions and products, aligning them into a unified ecosystem rather than rebuilding in isolation
• Establish standards for semantic consistency, data models, and reusable intelligence components
• Act as the architectural integrator across multiple analytic solutions and platforms, ensuring they connect, interoperate, and compound value
• Align roadmaps so that existing and new analytic solutions intentionally produce outputs (signals, insights, predictions) that feed into shared intelligence and digital products
• Promote modular, interoperable design patterns to reduce fragmentation
• Partner with digital and product teams to identify, formalize, and scale intelligence-enabled digital products
• Ensure analytic and AI systems are architected to directly support digital product delivery, not just offline analysis
• Design pipelines and interfaces that enable real-time or near real-time intelligence delivery into products and workflows
• Own the integrated architecture roadmap across PW and USDI, aligning: Analytic solution roadmaps, Platform and engineering investments, Digital product delivery timelines
• Ensure investments are coordinated and sequenced to maximize business impact
• Drive the shift from fragmented insights to connected, decision-oriented intelligence systems
• Ensure outputs are standardized, explainable, and actionable, enabling both human and AI-driven decisions
• Embed intelligence into operational workflows, client journeys, and automated systems
• Partner across analytics, engineering, product, UX, and business leadership
• Influence stakeholders to move from solution-level optimization to ecosystem-level value creation
• Advance intelligence maturity and integration across PW and USDI
• Establish frameworks for governance, reuse, and lifecycle management of intelligence assets
• Ensure solutions are scalable, secure, and aligned with domain standards
• Promote consistency in how intelligence is defined, measured, and consumed

Benefits

• Hybrid working model
• Enhanced flexibility
• In-person learning, collaboration, and connection

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed