Chief Intelligence Solution Architect

Role Overview

• 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
• 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.

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.

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development