Chief Intelligence Solution Architect

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Chief Intelligence Solution Architect

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.

1. PW & USDI Intelligence Architecture (Integrate, Not Replace)

• 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

2. Solution Alignment & Ecosystem Orchestration

• 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

3. Digital Product Enablement

• 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

4. Roadmap Integration & Strategy

• 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

5. Decision Intelligence Enablement

• 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

6. Cross-Functional Leadership

• 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

7. Governance, Scalability, and Trust

• 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

What Success Looks Like

• Existing analytic solutions are intentionally connected into a coherent intelligence ecosystem, not siloed
• Digital products consistently draw from shared, trusted intelligence layers
• Clear lineage from data → analytics → intelligence → product/decision experience
• Measurable improvement in decision quality, speed, and adoption across crews, clients, and AI agents

Qualifications:

• 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

Product & Delivery Leadership

• 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

Technical Consulting & Execution

• 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

Technical & Functional Expertise

• 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

Leadership & Influence

• 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

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.